Statistical Process Control SPC Jobs in Gurgaon

We offer a comprehensive total rewards package, including bonuses, healthcare, insurance benefits, retirement programs, wellness initiatives, and performance awards. We also provide various social and recreational activities tailored to each location. Job Description Key Responsibilities: Ensure compliance with supplier control activities as outlined by the organization. Lead PPAP (Production Part Approval Process) for new product launches and manage production cycles post-launch, including manufacturing transfers. Collaborate with cross-functional teams to develop new products or make changes to existing ones to meet customer requirements. Apply systematic problem-solving methodologies (5Why, DMAIC, 8D, and C&E) to resolve quality issues, manage NC (non-conformance) and CAPA (corrective and preventive actions), and drive root cause analysis. Promote continuous improvement initiatives such as Lean, Six Sigma, Poka-Yoke (error proofing), MSA (measurement system analysis), SPC (statistical process control), and pFMEA (process failure mode and effects analysis). Analyze quality data to identify opportunities for process improvement across the supply chain. Coordinate change management and control with suppliers, ensuring the successful implementation of changes. Oversee process and equipment validation (IQ, OQ, PQ), special process validations, and test method validations. Inspect and test materials, equipment, processes, and products to ensure adherence to quality specifications. Prioritize and deliver First Article Inspections (FAIs) for both sustaining and development projects. What You Need: Must-Have Skills: B.Tech (Electronics, Electrical, or Mechanical) with 5-9 years of experience in a quality, engineering, or manufacturing environment. Strong knowledge of quality tools such as PPAP, Six Sigma, SPC, FMEA, control plans, root cause analysis, Poka-Yoke, Kaizen, and lean manufacturing. Ability to implement and improve supplier quality tools and processes and effectively train suppliers. Proficient in MS Office Suite (Word, Excel, PowerPoint, etc.). Strong interpersonal skills for working with cross-functional teams (engineering, R&D, manufacturing, and regulatory affairs). Good-to-Have Skills: Understanding of medical device regulatory compliance (ISO 13485, CFR 820, or similar standards/regulations) and the EU's Medical Device Directive. Excellent communication and influencing skills, with the ability to manage multiple tasks and represent the quality function across teams. ASQ Certified Quality Engineer (CQE) certification. In-depth knowledge of technology and regulatory requirements related to products, systems, and services. Health Benefits: Medical, dental, and vision insurance Prescription drug coverage Critical illness, accident, and hospital indemnity insurance Personalized healthcare support, wellness programs, and tobacco cessation Financial Benefits: Health Savings Account (HSA) and Flexible Spending Accounts (FSAs) 401(k) plan with company match Employee Stock Purchase Plan (ESPP) Life insurance and short-term disability insurance About Stryker: Stryker is a global leader in med-surg, neurotechnology, and orthopedics, dedicated to improving patient and healthcare outcomes. Each year, we impact over 150 million patients worldwide. Depending on role requirements, employees in sales and field roles may be required to obtain vaccinations to access customer accounts as an essential part of their role.

Lead Process Engineer Industrial Projects Location: Gurgaon, India About Jacobs At Jacobs, we challenge today to reinvent tomorrow. We solve the world s most critical challenges by shaping thriving cities, resilient environments, mission-critical solutions, operational advancements, scientific discoveries, and cutting-edge manufacturing. Our goal is to transform ideas into reality creating a smarter, more connected, and sustainable world. Your Impact The world needs innovators and problem solvers who transform challenges into opportunities. At Jacobs, we push the boundaries of what s possible to design spaces that foster innovation, collaboration, and sustainable solutions. Join our Life Sciences & Industrial division, where you ll contribute to designing and developing high-impact projects across specialty gases, chemicals, semiconductors, solar photovoltaics, electric batteries, and pharmaceuticals. In this role, you will be responsible for project delivery, design management, and project leadership, ensuring technical excellence across multiple services. You will collaborate with commercial, project management, engineering, and design teams to drive success. Key Responsibilities Review and validate effort-hour estimations and process deliverables for proposal preparation. Lead feasibility studies, conceptual design, and detailed engineering. Review and ensure the accuracy of process design deliverables. Define interfaces between disciplines, ensuring seamless project execution. Capture and validate all process requirements for packaged systems. Engage in technical discussions with clients, licensors, and suppliers to develop optimal process configurations. Evaluate and recommend process schemes for utility system design. Conduct technical and safety reviews (HAZOP/SIL). Monitor and ensure on-time delivery of all process engineering deliverables. Oversee pre-commissioning, commissioning, and startup activities. Utility Systems Expertise (Must have experience in one or more areas): Instrument Air Boiler Systems Fuel Gas Deionized (DI) Water Cooling Tower Systems HVAC Chilled Water Systems Low-Temperature Refrigeration Hot Oil Systems Wastewater Treatment Chemical Storage & Delivery Systems Chemical Dosing Systems Qualifications & Experience Bachelor s Degree (B.E.) in Chemical Engineering with 12 18 years of experience in Process Design Engineering. Experience in a design consulting organization (current or past) working on Industrial Projects. Strong understanding of facility design and operation. Must have experience in at least one of the following industries: Specialty Gases (Silane, Ammonia, Nitrous Oxide, BCl ) Specialty Chemicals (Fertilizers, Ammonia, Agrochemicals) Semiconductors (ATMP, OSAT, FAB) Solar Photovoltaics (Solar Cell, Ingot Wafer, Polysilicon) Electric Battery Manufacturing (Lithium-Ion Cathode & Anode) Pharmaceuticals (API Active Pharmaceutical Ingredients) [Not formulation, biotech] At Jacobs, we are committed to creating an inclusive and diverse work environment. Our flexible work culture, global collaboration, and employee well-being programs empower our team members to thrive. Innovative & Collaborative Culture: Work with global experts on cutting-edge projects. Career Growth & Development: Access mentorship, learning programs, and leadership opportunities. Work-Life Balance: Enjoy flexible work arrangements and wellness programs. Global Impact: Contribute to projects that make a difference in industries and communities worldwide. Join Jacobs in Gurgaon and be part of a team that s building the future one innovative solution at a time. Qualification : Bachelors Degree (B.E.) in Chemical Engineering with 1218 years of experience in Process Design Engineering.

Principal Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 8-11 Years About FinBox FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month. Why You Should Join FinBox: Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech. Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally. Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth. Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world. Role Overview: As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale. Key Responsibilities: Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions. Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis. Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business. A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies. Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders. End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production. Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions. Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications. Who You Are: Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry. Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation. Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control. Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis. Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn). Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders. Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement. Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation. Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit. Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth. Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.

We proudly offer a comprehensive total rewards package, including bonuses, healthcare, insurance benefits, retirement plans, wellness programs, and performance awards. You ll also have access to social and recreational activities tailored to your location. Job Description What You Will Do: Ensure compliance with Quality Management Systems (QMS) in line with internal and external regulatory requirements, including but not limited to FDA, ISO, MDD, FGO EU, and country-specific regulations. Contribute to the development of an optimized QMS that aligns with corporate, divisional, and global QMS requirements. Assess and quantify QMS support requirements, ensuring the right structure is in place for effective service delivery. Promote Good Manufacturing Practices (GMP) and Good Documentation Practices (GDP) within the Quality department. Identify and implement opportunities for continuous improvement to enhance the efficiency and effectiveness of QMS processes. Develop and deliver QMS-related training and compliance programs for the team. Assist in the development, maintenance, and continuous improvement of QMS policies, procedures, and systems. Implement best-in-class QMS practices, benchmark against industry leaders, and ensure alignment with regulatory requirements. Ensure QMS accurately reflects actual business activities and supports New Product Introduction (NPI) needs. Contribute to the development or modification of regional/local QMS in a project environment. Participate in IT discussions, offering insights from a QMS perspective, and contribute to SRS/URS activities as needed. Support the business during audits, providing insights into system functionality. What You Need: Required: B.Tech (Electronics, Electrical, or Mechanical) with 5-7 years of experience in supplier quality. Knowledge of ISO 13485, FDA, EUMDR, and regional medical device regulatory requirements. Strong communication skills to effectively share information with team members, leaders, management, and suppliers. Experience supporting third-party inspections (FDA, notified body, etc.) within the medical device industry. Understanding of quality systems and web-based interactions. Excellent interpersonal skills for collaborating with cross-functional teams (engineering, R&D, manufacturing, and regulatory affairs). Proven ability to execute and lead projects, with a strong understanding of project stages. Proficiency in improvement methods and processes. Preferred: Understanding of medical device regulatory compliance (ISO 13485, CFR 820, or equivalent). Strong communication and influencing skills, with the ability to manage multiple tasks and represent the quality function across teams. ISO 13485 Lead Auditor certification or equivalent. Health Benefits: Medical, dental, and vision insurance Prescription drug coverage Critical illness, accident, and hospital indemnity insurance Personalized healthcare support, wellness programs, and tobacco cessation Financial Benefits: Health Savings Account (HSA) and Flexible Spending Accounts (FSAs) 401(k) plan with company match Employee Stock Purchase Plan (ESPP) Life insurance, short-term disability insurance About Stryker: Stryker is a global leader in MedSurg, neurotechnology, and orthopedics, helping improve patient and healthcare outcomes. Every year, we impact over 150 million patients globally. Depending on role requirements, employees may need to obtain vaccinations as an essential function of their role when accessing customer accounts. Qualification : B.Tech (Electronics/Electrical/Mechanical) with 5-7 years of experience in Supplier quality.

Job Title: Manager - Business Analytics Location: Gurugram Experience: 6+ Years (1+ Years as Manager in MIS, WFM, or Reporting) Education: Any Graduation Job Description: We are seeking a Manager - Business Analytics to effectively lead our Business Analytics function and manage a team of 15-20 business analysts. In this role, you will be responsible for implementing tools and strategies that translate raw data into valuable business insights. Your goal will be to help drive high performance and quality by leveraging data for decision-making. Strong logical reasoning skills, business intelligence, and excellent communication abilities are essential for this role. Key Responsibilities: Team Leadership: Lead and manage a team of 15-20 Business Analysts, providing guidance and support in their daily activities and ensuring the accuracy and efficiency of their work. Data Reporting & MIS Generation: Generate, maintain, consolidate, and track various reports, ensuring timely and accurate delivery. Develop and execute daily, weekly, and monthly MIS Reports, utilizing advanced Excel/VBA, PPT, and MySQL. Update informative dashboards regularly with data visualization elements like Bar Charts, Pie Charts, etc. Reconcile and email MIS reports with data visualization details and track business performance. Data Analysis & Experimentation: Conduct data-based experiments to identify opportunities for improving the decision-making process. Develop and execute statistical modeling techniques for better business insights and to cover adjacent categories. Identify opportunities for automating reports, snapshots, and dashboards using advanced formulas, macros, and VB. Strategy & Process Optimization: Develop strategies for effective data analysis and reporting, ensuring that insights generated are aligned with business goals. Build systems and tools that can transform raw data into actionable business insights. Work closely with cross-functional teams to ensure that all analytics solutions are correctly configured and implemented. Data Quality & Integrity: Oversee all analytics operations to identify discrepancies and ensure the data is of the highest quality. Identify gaps in reporting systems and drive improvements to ensure the accuracy of business-critical data. Cross-Functional Collaboration: Collaborate with other departments to gather insights, ensure consistent reporting, and solve business challenges using data-driven decisions. Skills and Qualifications: Experience: Minimum 6 years of overall experience in analytics or reporting, with at least 1 year as a Manager in MIS, WFM, or Reporting. Technical Skills: Proficient in Advanced Excel, VBA, PowerPoint, and MySQL. Experience in building and maintaining dashboards, utilizing data visualization tools. Strong understanding of statistical modeling techniques and experience in applying them to business problems. Leadership: Proven experience in managing and mentoring a team, with the ability to guide the team towards effective problem-solving and reporting outcomes. Analytical Mindset: Strong problem-solving abilities and a keen eye for detail, ensuring data accuracy and the generation of actionable insights. Communication Skills: Excellent verbal and written communication skills, with the ability to present complex data insights in a clear and understandable manner to stakeholders at all levels. Automation & Optimization: Expertise in automating reporting processes using advanced formulas, macros, and VB to improve efficiency and accuracy. Additional Information: Work Days: 6 Days a week. Location: Gurugram. Education: Any graduation (Bachelors or higher). What We Offer: Competitive salary and benefits. A collaborative and growth-oriented work environment. Opportunity to make a significant impact on business performance using data-driven insights.

Job Title: Data Analyst Department: S&P Global Commodity Insights About the Team: S&P Global Commodity Insights delivers essential intelligence for global commodity markets, ensuring data accuracy, consistency, and accessibility while driving innovation through advanced technologies and modern data management practices. As part of this team, you will play a pivotal role in shaping the future of commodity data and analytics in an evolving and dynamic environment. The Role: As a Data Analyst, you will be responsible for comprehensive data management, analysis, and project coordination. This includes gathering, cleaning, and organizing data from diverse sources such as Salesforce, Oracle, and Zuora, as well as performing analytical assessments and preparing impactful visualizations and reports for internal and external stakeholders. You will also support process optimization, quality assurance, and documentation management, collaborating closely with cross-functional teams to ensure alignment with business objectives. Key Responsibilities: Project Coordination and Administrative Support: Plan, organize, and track project timelines, deliverables, and milestones to ensure deadlines are consistently met. Lead cross-functional teams, clearly communicating project objectives, responsibilities, and expectations. Prepare meeting agendas, project status reports, and provide administrative support for project management processes. Data Management and Analysis: Collect and manage data from multiple sources, including Salesforce, Oracle, and Zuora, ensuring accuracy and completeness. Collaborate with Data Leads to align deployment schedules and project timelines. Work closely with the Data Management team to enforce data quality standards and processes related to ERP deployments, projects, and system enhancements. Deliver data analysis, design, and implementation tasks in accordance with agreed service levels (SLAs). Develop data visualizations and reports for internal teams and client presentations, effectively translating data into actionable insights. Identify process improvement opportunities through data analysis and recommend optimization strategies. Business Process Support: Partner with cross-functional teams to develop and support data-driven initiatives that align with business goals. Document process flows and contribute to change management efforts. Serve as a primary contact for key stakeholders, providing timely updates on project progress, risks, and outcomes. Quality Assurance: Review project deliverables to ensure they meet quality standards and client expectations. Conduct peer reviews of documents, presentations, and reports to ensure accuracy, consistency, and adherence to guidelines. Implement data validation processes to ensure data reliability and quality. Documentation Management: Maintain and standardize project-related documents to ensure accuracy and consistency across all materials. Organize and manage a well-structured repository of internal and client-facing documents, ensuring accessibility and version control. Qualifications & Skills: Basic Qualifications: Bachelor s degree in Business, Economics, Engineering, Computer Science, or a related field. 5-7 years of experience in a data analysis or project coordination role, preferably in a consulting or similar environment. Proficiency in Microsoft Office Suite, especially Excel, PowerPoint, and Word. Experience working with data management tools and technologies, along with strong analytical skills to interpret complex datasets. Detail-oriented mindset with a strong focus on data accuracy and process integrity. Excellent communication and leadership skills to effectively collaborate with cross-functional teams and stakeholders. Strong time management skills, with the ability to thrive in a fast-paced, deadline-driven environment. Preferred Qualifications: Familiarity with platforms such as Salesforce, Marketo, Oracle, Zuora, Snowflake, Databricks, Amazon Redshift, and Informatica. Experience working in Agile environments with a focus on Lean principles. Professional certifications such as: Salesforce Administrator or Business Analyst Lean Six Sigma PMP or PRINCE2 Certified Scrum Master About S&P Global Commodity Insights: At S&P Global Commodity Insights, we provide comprehensive intelligence and expert insights across global energy and commodity markets. Our trusted data and analysis empower customers to make informed decisions with confidence and create long-term value in an increasingly complex and rapidly evolving global landscape. We serve as a critical link, bringing together market participants, governments, regulators, and industry experts to co-create solutions that drive progress and support the energy transition. Our coverage spans oil and gas, power, chemicals, metals, agriculture, and shipping, offering a complete and integrated view of the commodities ecosystem. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI), the world s leading provider of credit ratings, benchmarks, analytics, and workflow solutions across capital, commodity, and automotive markets. Through our innovative products and services, we help organizations navigate today s challenges while planning for a successful future. Qualification : Bachelors degree in Business, Economics, Engineering, Computer Science, or a related field.

Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 3-6 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, where technology, innovation, and creativity meet to revolutionize financial services. Since our inception in 2017, we've been on a mission to transform the lending industry by helping lenders like Banks, NBFCs, and enterprises launch credit products faster than ever before. As a Series A funded company, we are growing rapidly with offices in India, Vietnam, Indonesia, and the Philippines. Our vision is to build world-class infrastructure for lending products that help banks and financial services companies scale globally. We've already helped customers disburse billions of dollars in both unsecured and secured credit, and our solutions are used by over 100 companies, impacting over 5 million customers monthly. Innovative Environment: We encourage creativity and experimentation, pushing the boundaries of what's possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, making credit more accessible. Growth Opportunities: As a growing Series A startup, we offer ample opportunities for professional development. Collaborative Culture: Join a diverse and supportive team that values different perspectives. Creative Thinkers: We love people who challenge the norm and bring fresh, out-of-the-box ideas. Customer Heroes: We need those who understand customer needs and go above and beyond to deliver exceptional experiences. Team Players: If you thrive in a collaborative environment and believe in the power of "we," you'll fit right in. How You'll Contribute to Our Data Science Team: Analyze structured and unstructured data to derive meaningful insights. Support predictive model development and statistical analyses to guide product decisions. Build dashboards and visualizations to monitor and report key business metrics. Assist in data gathering, pre-processing, and cleaning to maintain high-quality datasets. Conduct exploratory data analysis and hypothesis testing to enable data-driven decision-making. Automate reports and develop clear, effective data visualizations. Document data processes and findings in a structured, presentable format. Collaborate with cross-functional teams to translate business needs into actionable data-driven solutions. Apply foundational machine learning techniques, including regression analysis, clustering, and decision trees. Who You Are: Experience: 3+ years in data science, analytics, or a related field. Technical Skills: Strong proficiency in Python/R, SQL, and Excel for data manipulation and analysis. Visualization: Experience with tools like Tableau, Power BI, or similar for data visualization. Additional Skills: Familiarity with AWS, Git, and version control practices is a plus. Knowledge: Understanding of statistical concepts and basic machine learning models. Mindset: Eagerness to learn, experiment, and grow in a fast-paced, dynamic startup environment.

Position: Product Owner - Core Analytics Solutions (CAS) Job Overview: At BlackRock, technology and innovation are central to our mission of delivering world-class financial solutions. As part of Aladdin Financial Engineering (AFE), the Core Analytics Solutions (CAS) team is responsible for delivering analytical capabilities that drive better portfolio decisions. CAS works closely with investment teams and clients, transforming data into actionable insights and delivering solutions across asset classes and client segments. About Aladdin Financial Engineering (AFE): Join over 400 modelers and technologists in AFE within BlackRock Solutions. AFE is responsible for the research, development, and analytics production of Aladdin s financial models. These models span a wide range of financial products and provide insights to portfolio and risk management professionals. About Core Analytics Solutions (CAS): The CAS team within AFE creates and delivers Aladdin s analytical capabilities, ensuring clients can make informed portfolio decisions and achieve their financial goals. Our team is known for problem-solving, innovation, and delivering scalable solutions using Aladdin s global investment platform. Role Description: As a Product Owner with CAS, you will focus on portfolio risk methodologies like VaR and Stress Testing. You will work with modelers and collaborate with product managers, engineers, and data teams to deliver next-generation risk models. This role requires a blend of subject matter expertise, analytical skills, and leadership in driving product initiatives using agile frameworks. Responsibilities: Deliver next-generation risk models for portfolio risk methodologies such as Ex-ante risk models, Historical VaR, Monte Carlo VaR, Stress Testing, and factor risk models. Drive agile framework implementation to ensure predictability and transparency across initiatives. Work closely with stakeholders to define and articulate product requirements, ensuring alignment with business needs. Perform independent analytical validations and present results to stakeholders. Influence the analytics roadmap by understanding rapidly evolving markets and stakeholder needs. Automate processes to increase efficiency and throughput. Present models to clients, address concerns, and build trust in BlackRock s solutions. Collaborate with technology and analytics teams to build scalable, customized solutions using Aladdin APIs. Define processes for quality control and ensure the robustness and reliability of Aladdin s analytics models. Develop and maintain documentation for analytical models and processes. Mentor junior analysts and help them build expertise in the field. Experience/Qualifications/Skills: 3-6 years of experience in developing, deploying, or using financial risk models. Deep understanding of financial models and risk methodologies, including factor models. Experience with APAC markets is a plus. Proven track record of leading cross-functional initiatives as an agile product owner. Experience in finance, econometrics, statistical analysis, or advanced mathematics. Experience with technical tools like Linux, SQL, and scripting platforms. Programming skills (Python, advanced Excel) are a plus. Knowledge of financial risk management certifications (CFA, FRM) is a plus. Excellent quantitative, analytical, communication, and presentation skills. Ability to collaborate effectively with both technical and non-technical stakeholders. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model fosters collaboration while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the option to work from home 1 day a week. About BlackRock: BlackRock is committed to helping people experience financial well-being. Our clients rely on our investment expertise to save for retirement, pay for education, and fund other life goals. We invest in our employees to create a supportive environment where they can thrive professionally and personally. We offer benefits and development opportunities to support our employees' growth. Qualification : Engineering, Finance, Mathematics, Business Management or some other quantitative field of study. Advanced degree preferred. Bachelors degree required.

About Shiprocket: At Shiprocket, we are on a mission to simplify and elevate the e-commerce experience. We provide e-commerce sellers with AI-powered technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains to equip sellers with the tools they need to deliver exceptional customer experiences. What It s Like to Work at Shiprocket: At Shiprocket, we embrace the following success traits that shape our culture and drive us toward achieving great things: Innovation Within Constraints: Embrace constraints and use them as a foundation for innovation. Speed is Key: Make swift decisions and take action based on their potential impact. Ruthless Frugality: Be frugal, as it leads to growth and efficiency. Direct Communication: Be transparent and honest in all interactions. Sports Team Mentality: We re not a family, we re here to win as a team. Customer Obsession: Always prioritize the customer and their experience. Role Overview: We re seeking a highly analytical and data-driven Central Analytics Lead to drive data-informed decision-making across Shiprocket. In this role, you ll play a critical part in building and scaling our central analytics function. You will help identify key business opportunities, provide actionable insights, and enable data-driven strategies across all departments. Key Responsibilities: Develop & Implement Analysis Frameworks: Design and implement robust data analysis methodologies and frameworks to enhance decision-making. Dashboard & Reporting: Build and maintain data dashboards and reports to monitor performance and track key business metrics. In-depth Data Analysis: Conduct detailed analysis to identify trends, uncover insights, and inform strategic decisions that drive business growth. Stakeholder Presentations: Develop data-driven presentations to communicate insights and recommendations to stakeholders across the organization. Cross-Functional Collaboration: Work closely with teams across product, marketing, sales, and operations to understand their data needs and provide actionable insights. Team Development: Build and mentor a high-performing team of analysts (future expectation). Identify Opportunities for Innovation: Identify areas for process improvement and data-driven innovation to enhance business strategies. Ensure Data Integrity: Maintain data quality and integrity across all systems and platforms. Stay Ahead of Trends: Keep up-to-date with the latest advancements in data analytics and visualization tools. Preferred Skills & Qualifications: Experience: 4+ years in an analytics role, ideally in a fast-paced, high-growth startup environment. SQL & Data Warehousing: Exceptional SQL skills with experience in data warehousing and ETL processes. Data Visualization: Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker). Communication Skills: Excellent presentation, communication, and storytelling abilities to translate complex data into actionable insights. Analytical & Problem-Solving Skills: Strong critical thinking and independent problem-solving skills to tackle complex data challenges. Growth Mindset: Eagerness to learn and adapt to new challenges and technologies. Educational Background: Bachelor s degree in Statistics, Mathematics, Economics, Computer Science, or a related field. Bonus Points: Data Infrastructure: Experience in building and scaling data infrastructure and systems. Machine Learning: Experience with machine learning and predictive modeling techniques. Qualification : Bachelors degree in Statistics, Mathematics, Economics, Computer Science, or a related field.

Company Overview: American Express is committed to providing the world s best customer experience every day. The Global Servicing Group (GSG) is central to fulfilling this mission, with over 36,000 team members working across various lines of business, including Customer Engagement, Merchant Services, Credit & Fraud. Within this structure, the Global Capacity & Contact Management (GCCM) team works towards optimizing resources and maintaining consistent customer service levels globally. Role Overview: The Planning & Data Intelligence (PDI) team within GCCM plays a pivotal role in supporting global reporting and analytics. This role involves automating, standardizing, and enhancing the reporting ecosystem to enable better decision-making through data-driven insights. The role will also involve creating a more efficient process for managing large and multiple data sets and collaborating with business partners to drive the future of reporting within the organization. Key Responsibilities: Define Data Architecture Strategy: Contribute to the development of the data architecture strategy and roadmap to enhance the PDI data ecosystem. Automation & Standardization: Analyze the current reporting structure within GCCM and work towards automating and scaling it through self-service functionalities, especially using Tableau. Reporting Innovation: Collaborate with internal partners to create new reporting dashboards within Tableau and other platforms, ensuring better self-service and efficiency. Analytics & Problem-Solving: Leverage your strong analytical skills to solve both practical and theoretical business challenges, applying machine learning, data mining, and statistical analysis techniques. KPIs & Performance Metrics: Develop and manage key performance indicators (KPIs) to promote efficiency, drive awareness, and improve reporting systems across teams. Reporting to Leadership: Provide on-demand reporting and insights to senior leadership, helping them make informed decisions. Dashboard Development & Adoption: Coordinate the development and testing of new dashboards, ensuring data validation and documentation. Assist in training teams to adopt these tools effectively. Innovation & External Research: Continuously seek new ideas and innovations from external sources to bring best practices into the team s work. Required Qualifications: Educational Background: Bachelor's degree or equivalent combination of education and work experience. Technical Expertise: Expert knowledge in VBA, SQL, Cornerstone, Hive, and Python. Familiarity with workforce management KPIs and Tableau for report building is a plus. Data Analysis & Manipulation: Experience using SAS, Big Data analytics, and statistical software for data analysis and manipulation. Problem-Solving & Analytical Skills: Strong ability to perform deep dive analyses of business metrics, providing actionable solutions and recommendations. Call Center Management Expertise: In-depth understanding of call center principles and how they impact operations. Adaptability & Communication: Ability to work in a fast-paced environment with changing demands, managing multiple tasks effectively. Exceptional written and verbal communication skills in English. Collaboration Skills: Strong interpersonal skills to collaborate and influence across different organizational levels and teams. Benefits & Perks: Competitive Compensation: Base salary with bonus incentives. Health & Wellness Support: Comprehensive medical, dental, vision, life insurance, and disability benefits (dependent on location). Flexible Working Arrangements: Hybrid, onsite, or virtual options depending on role and business needs. Paid Parental Leave: Generous paid parental leave policies (dependent on location). Wellness & Support Programs: Access to global wellness centers and confidential counseling support through the Healthy Minds program. Career Growth Opportunities: Continuous career development and training opportunities. Equal Opportunity Employer: American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Qualification : Bachelor's degree or equivalent combination of education and work experience.

About Shiprocket: At Shiprocket, we are on a mission to make e-commerce simple, accessible, and trustworthy. We empower e-commerce sellers with AI-driven technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains, providing sellers with everything they need to deliver an exceptional customer experience. What It s Like to Work at Shiprocket: Our culture is built on the following principles: Key to True Innovation: We thrive under constraints and use them as opportunities to innovate. Speed Above All Else: We prioritize quick decision-making and actions that make the most impact. Be Ruthlessly Frugal: Efficient use of resources drives growth. Say It Like It Is: We value honesty and directness in communication. We re Not A Family, We re A Sports Team: We are here to win and accomplish great things together. Customer-First Mentality: Our focus is always on delivering outstanding experiences for our customers. Role Overview: Shiprocket s Engineering Team is focused on driving innovation and excellence within the e-commerce and logistics industries. We are dedicated to developing cutting-edge technology solutions that empower businesses to scale efficiently, optimize operations, and deliver outstanding customer experiences. With a focus on automation, data-driven decision-making, and seamless integrations, we aim to revolutionize how merchants, customers, and logistics providers interact. We are looking for a Data Analyst with 2-6 years of experience to help support our diverse business units (Finance, Product, Operations, Marketing, etc.) by leveraging insights derived from analyzing large datasets. The ideal candidate will be proficient in data mining, analytical methods, data tools, and model development and implementation. Roles and Responsibilities: Data Preparation & Analysis: Gather and analyze data to generate reports that provide actionable insights to business teams. Support the strategic planning of new AI or data-centric products. Insight Generation: Analyze key metrics and performance indicators to identify the root causes of inefficiencies or defects in processes, helping teams drive improvements. Collaboration with Business Teams: Collaborate proactively with various internal business teams to enhance project outcomes, focusing on optimizing resource utilization and ensuring timely completion. Report Creation: Build and maintain reports that communicate key findings and trends clearly to management, facilitating data-driven decision-making. Continuous Improvement: Recommend and implement improvements based on data insights, contributing to better operational efficiencies. Preferred Skills & Qualifications: Business & Statistical Acumen: Ability to translate business questions into statistical solutions and communicate insights effectively. Data Analytics Proficiency: Expertise in SQL, PL/SQL, BigQuery, and Snowflake. Experience in scripting languages like Python is highly desirable. Analytical Tools & Methodologies: Strong understanding of OLTP/OLAP databases, data analytics tools, and methodologies. Hands-on experience in data mining and statistical modeling. Data Visualization Skills: Experience with tools such as Metabase (preferred) and advanced Excel to present data insights in an accessible format. Cloud Services Knowledge: Familiarity with AWS services is a significant advantage. Problem-Solving: Proactive mindset with the ability to identify challenges and develop practical solutions to improve processes and drive business results. At Shiprocket, we offer a dynamic, fast-paced work environment where you ll have the opportunity to make a significant impact. You'll work alongside a talented team that embraces innovation, prioritizes customer satisfaction, and continuously pushes the envelope to redefine e-commerce logistics.

Position Title: Global Services Group (GSG) MIS & Analytics Analyst Functional Overview: The Global Services Group (GSG) delivers exceptional customer care, handling key functions such as Credit, Collections, and Fraud Services for our Cardmembers, Merchants, and Commercial Clients globally. Within GSG, the Late-Stage MIS & Analytics team plays a pivotal role in supporting executive leadership with comprehensive data insights, performance tracking, and business intelligence to drive key operational decisions. What You'll Do: MIS & Analytical Support: Provide in-depth MI and analytical support to executive leadership, focusing on key operations metrics across all Servicing functions within GSG. MIS Maintenance & Issue Resolution: Ensure the smooth operation of existing MIS systems, identify any data deficiencies promptly, and collaborate with relevant teams to resolve issues. Leadership Reporting & Insights: Understand and translate leadership's analytical and reporting needs into effective, user-friendly solutions that enhance decision-making. Industry Trends & Methodologies: Stay updated with the latest industry trends in analytics and emerging technologies, continuously improving reporting processes and methodologies. Required Qualifications: Technical Proficiency: Strong expertise in Hive, SQL, Big Query, Python, and statistical packages, with a solid understanding of Big Data ecosystems. Data Visualization: Proficient in using Tableau and Power BI to create impactful data visualizations. Communication & Relationship Management: Excellent communication skills with the ability to build strong relationships and collaborate effectively with leadership and cross-functional teams. Multitasking & Flexibility: Ability to manage multiple projects simultaneously, work under tight deadlines, and adapt to changing priorities. Analytical Mindset: Strong background in quantitative business analytics, with a creative and conceptual approach to solving business problems. Project Management Skills: Ability to manage projects effectively, translating business requirements into actionable insights and driving successful outcomes. Benefits & Perks: Competitive Compensation: Base salary and bonus incentives. Health & Wellness Support: Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location). Access to on-site wellness centers (where applicable). Work-Life Balance: Flexible working arrangements, including hybrid, onsite, or virtual roles, depending on business needs. Parental Leave: Generous paid parental leave policies (depending on location). Career Development: Opportunities for continuous learning, career development, and training. Mental Health Support: Access to free, confidential counseling support through the Healthy Minds program. Why American Express? American Express is an equal opportunity employer, committed to creating a diverse and inclusive workplace. We offer a culture where everyone is seen, heard, and valued. Employment decisions are made based on merit, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Your Impact In this role, you will be integral in supporting team members, consultants, and clients with requests and engagements within your area of expertise. You will tackle complex challenges faced by leading life sciences companies, particularly in pharmaceutical operations such as manufacturing networks, external supply management, and supply chain optimization. You will also delve into the evolving impact of digital and automation technologies in these domains. Additionally, you will develop a well-rounded understanding of industry and economic trends to establish a strong area of expertise in life sciences. You'll work closely with Life Sciences Operations leaders on key initiatives and leadership objectives, such as preparing practice qualification materials and assisting in leadership meetings. Your contributions will help project teams navigate industry trends, key players, and research challenges. Using your knowledge, you will help codify best practices and develop new research products, such as fact packs, summary perspectives, and analytical reports. Your work will include developing benchmarking tools and producing high-quality, client-ready deliverables that are comprehensive, well-organized, and insightful. As you progress, you'll also mentor new team members, fostering their professional growth, and contributing to the success of the knowledge management team. You will build strong communities across various practices and offices, and create strong connections with knowledge professionals in other units as well as consultants across the firm. Your Growth Based in our Gurugram office, you will be a part of the Life Sciences Intelligence team in India, embedded within our Life Sciences Practice. As part of our global knowledge network, you will collaborate with over 100 professionals based in key hubs such as Waltham, New Jersey, Brazil, London, Brussels, Poland, Lisbon, India, Japan, and China. In this role, you'll collaborate with fellow team members, consultants, and clients to drive impactful projects. You ll work across multiple industry and functional areas to generate unique insights, enhance capabilities, and deliver the best of our firm s expertise to clients. Your Qualifications and Skills A degree in Pharmacy/Biotech, an MBA, M.S. (Pharmacy), or M.Tech (Biotech) is preferred. A minimum of 2 years of experience in Indian pharmaceutical operations, consulting, or industry, particularly in areas like supply chain, manufacturing, quality, and procurement. Strong understanding of economic, financial, and business concepts. Proficiency in IT tools, including Excel, Word, PowerPoint, and basic business software. Analytical skills with knowledge of tools such as SAS, SPSS, Alteryx, and Tableau (a plus). Ability to structure and solve ambiguous problems. Adaptability in a dynamic, fast-evolving environment. Comfort working within diverse teams to craft optimal solutions and drive action. Ability to build and maintain trust-based relationships with colleagues and clients. Qualification : A degree in Pharmacy/Biotech, an MBA, M.S. (Pharmacy), or M.Tech (Biotech) is preferred.

Eshopbox is looking forward to onboard a professional MIS Executive to coordinate with our management and support our business in day to day activities. The executive will be working closely with our management team to provide necessary data and operations from time to time. Wondering what your Responsibilities would be? Preparing Daily/Weekly & Monthly MIS reports of orders and returns. Generating and distributing management reports in an accurate and timely manner. Providing strong reporting and analytical information support to the management team. Last-mile orders tracking and handling client s queries. Managing website refunds. Analyzing Data and Publishing Reports. What Makes you Eligible? Relevant experience of 1-2 years. Good interpersonal, Analytical skills. Good Communication skills - verbal and written. Operational Excellence and Problem Solving. Proficient in Excel. Great attention to detail. Excellent Organizational skills. Bachelor s degree Qualification : Bachelors degree

Position: Market Research Analyst Location: Gurugram Experience: 2 5 Years Qualification: Any Graduate Working Days: 5 Days per Week Working Hours: 9 Hours per Day Job Overview: We are seeking an analytical and detail-oriented Market Research Analyst to support strategic decision-making by delivering actionable insights through market analysis, competitor research, data interpretation, and revenue optimization. The ideal candidate will have a strong grasp of research tools, excellent data handling capabilities, and a strategic mindset to support business growth. Key Responsibilities: Primary & Secondary Research Conduct in-depth primary and secondary research to gather insights on industry trends, consumer behavior, and market opportunities. Campaign & Data Analysis Analyze performance metrics from email marketing campaigns using Excel and Google Analytics. Track KPIs like open rates, click-through rates, and conversions. Segment audiences for personalized marketing and extract data-driven insights to enhance ROI. Competitor & Market Analysis Perform comprehensive competitor analysis, including product offerings, pricing, customer reviews, and market positioning. Use tools like SWOT analysis, market segmentation, and trend forecasting to inform strategic direction. Business Development Identify and assess new market opportunities, potential partnerships, and emerging trends to support the business development team. Contact Discovery Leverage tools like Hoovers, ZoomInfo, Lusha, LinkedIn Sales Navigator, Apollo, and more to identify and verify contact information for potential leads. Data Management Manage, cleanse, and validate datasets using Excel functions (VLOOKUP, Pivot Tables, etc.) to ensure data accuracy and relevance. Revenue Analysis Analyze revenue streams and apply market intelligence to support financial growth. Identify key performance drivers and align strategies to boost profitability. Cross-functional Collaboration Partner with marketing, sales, and strategy teams to align research efforts with business goals. Regulatory Awareness Monitor and analyze regulatory and policy changes impacting industry operations and business opportunities. Key Skills & Qualifications: Strong analytical and critical thinking skills. Hands-on experience with Excel, Google Analytics, and research platforms. Ability to manage, clean, and interpret large data sets. Familiarity with contact discovery tools and LinkedIn Sales Navigator. Working knowledge of market segmentation, competitor tracking, and KPI analysis. Excellent communication skills and cross-functional collaboration abilities. Highly organized with keen attention to detail. Qualification : Any Graduate and above

To fulfil this mission, the Marketing Science team at Meta is actively seeking a full-time, experienced Marketing Science Partner. A Marketing Science Partner at Meta works with internal and external clients in an industry vertical such as Automotive, E-commerce, Entertainment, CPG, Fin-Serv, Tech etc. on an ongoing basis to adopt better measurement as a way to improve business outcomes. To accomplish this, the person in this role will work both reactively and proactively with clients, using Meta s industry leading data science tools and data sets. Driving good measurement with advertisers will require designing tests (conversion lift, brand lift, attribution etc.) and doing research to help clients understand and improve the effectiveness of their advertising across digital platforms and across media. This work will require direct engagement with clients, with media agencies as well as using our third party scaling solutions to help with the set up and running of studies. Conclusions from this work will showcase what good measurement is and how clients can act upon it to drive business impact. The Marketing Science Partner will also focus on customizing existing capabilities or in some cases piloting new, scalable capabilities in partnership with Product, R&D, and Partnerships. Meta is seeking exceptional candidates to join the Marketing Science team with proven analytical and critical thinking skills as well as familiarity with large data sets, Marketing research and data manipulation tools. To successfully influence how advertisers conduct and use measurement, the candidate should be able to work cross-functionally with internal teams and partner closely with the Sales team. Marketing Science Partner, India Responsibilities Engage with clients and agencies to share research-based best practices and measure true business value by building and operationalizing learning agendas . The best practices and learning agendas will highlights how a client can improve business outcomes Work with advertising and industry bodies to create best in class measurement solutions Partner closely with sales to manage a set of accounts and prioritize which clients will get servicing from the team Support client engagement with third party vendors responsible for setting up and conducting measurement studies Drive client, vertical, and industry adoption of preferred measurement methodologies, best practices, products, and approaches in support of the learning agenda Design tests to showcase the power of good measurement using client data and Facebook or third-party technology tools Conduct in-depth standard and custom ad effectiveness studies for Facebook advertisers to understand the relative impact of different marketing strategies across digital platforms and across media Communicate complex research results to a general audience Offer selective consultation with clients & agencies on business hypothesis to test, measurement design & feasibility or insights interpretation Operate internal & external education & training workshops to raise awareness & advocacy of Measurement solutions & analytical best practices (auction, use of lift tools ) Minimum Qualifications Bachelor s degree in Business, Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Sociology or similar Direct experience independently scoping and executing research projects with clients and or cross-functional stakeholders Experience analyzing and manipulating data sets to understand patterns and provide insights Experience leading at an industry level and with clients Ability to communicate technical content to general audience. Client-facing experience (internal or external), including ability to drive meetings or change through adoption of new products or research methods. Experience with digital advertising measurement methods and technologies Proven excellence in working with structured and unstructured data-sets, statistical software such as R as well as data extraction tools such as Hive, python and/or SQL is a must Experience with field experiments, experimental design, survey sampling, and/or panel data Preferred Qualifications Advanced degree in a quantitative field or an MBA About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity and Affirmative Action Qualification : Bachelors degree in Business, Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Sociology or similar

Job Title: Agri Research Intern (Fresher) Location: Gurugram, Haryana, India Department: Procurement Job Type: Full-Time | On-Site About FarMart FarMart is reimagining the food supply chain by building a modern, digital-first platform that connects farmers, food businesses, and consumers. Our scalable sourcing solutions, asset-light processing, and tech-enabled distribution channels aim to make food systems more resilient, transparent, and efficient. Backed by top-tier investors like General Catalyst, Matrix Partners, and Omidyar Network, FarMart has impacted 3.2 million+ farmers and 2,000+ food businesses globally. Position Overview We are seeking a motivated Agri Research Intern to join our team and support agri-commodity research initiatives. This is a fantastic opportunity for freshers to gain real-world exposure to agriculture markets, commodity analysis, and data-driven decision-making within a high-growth agri-tech company. Key Responsibilities Market Research Conduct research on crops, livestock, and agri-products. Analyze supply-demand trends, price movements, and trade patterns. Gather data from surveys, industry reports, and online databases. Data Analysis & Reporting Build and maintain commodity market databases. Prepare insightful research reports and presentations. Offer actionable recommendations to support strategic decisions. Industry Monitoring Stay updated on agricultural policies, innovations, and market shifts. Track competitor activities and global market dynamics. Cross-Functional Collaboration Work with marketing, trading, and finance teams to meet internal research needs. Assist in planning market entry and expansion strategies. Documentation & Communication Document methodologies and findings with clarity. Present research outcomes effectively to internal teams and management. Qualifications Bachelor s degree in Agriculture, Economics, Statistics, Business, or a related field (Master s degree is a plus). Strong analytical and research skills. Proficiency in Excel, and exposure to tools like SPSS or Tableau is a plus. Excellent communication and organizational skills. Knowledge or keen interest in agricultural markets and commodity trading. Key Competencies Analytical Thinking Interpret data to make informed recommendations. Research Proficiency Strong attention to data accuracy and sourcing. Communication Skills Present findings clearly and effectively. Adaptability Comfortable with dynamic market environments. A flat, transparent culture and a dynamic, informal workspace. Steep learning curve with high-impact work from day one. Opportunities to innovate and take ownership of your projects. Collaborative work with industry-leading professionals and teams. Be part of an agri-tech revolution transforming India's food system. Apply now and be part of FarMart s mission to revolutionize food value chains! Qualification : Bachelors degree in Agriculture, Economics, Statistics, Business, or a related field (Masters degree is a plus).

Product Analyst - Team Lead (Risk) Location: Gurugram, Haryana (On-site) Company: Paytm India s Leading Mobile Payments & Financial Services Platform About Paytm Paytm is India s pioneer in mobile payments and financial services distribution, transforming commerce for millions of small businesses. Our mission is to empower half a billion Indians by bringing them into the mainstream economy using innovative technology. About the Team The Credit Risk Product Team plays a critical role in lending by developing efficient, scalable, and compliant risk assessment models. The team partners with data scientists, engineers, and business stakeholders to refine underwriting processes through advanced analytics and machine learning optimizing loan performance and minimizing defaults. Role Overview We are looking for a detail-oriented Product Analyst to lead credit risk initiatives. In this role, you will implement and optimize credit risk policies while ensuring compliance with regulatory requirements. You will work closely with data scientists, product managers, and credit teams to enhance underwriting models and risk decision frameworks. Key Responsibilities Analyze credit risk across multiple credit products, such as credit cards, merchant loans, and personal loans. Collaborate with business teams to understand and implement credit risk policies on the platform. Monitor and evaluate the performance of risk policies; provide actionable feedback to Product and Policy teams. Leverage alternative data sources, machine learning models, and traditional credit assessments to improve risk evaluation. Conduct testing, scenario analysis, and policy resilience measurement. Track key risk indicators (KRIs) and generate insights for management. Ensure compliance with regulatory guidelines and internal risk frameworks. Work with product and technology teams to embed risk-based decision-making into lending workflows. Qualifications 1 2 years of relevant experience, preferably in fintech or banking. Strong proficiency in SQL and Python for data analysis and manipulation. Basic understanding of APIs and streaming platforms like Kafka is a plus. Excellent analytical, problem-solving, and communication skills. Ability to thrive in a fast-paced, dynamic environment and collaborate cross-functionally. Educational background: B.Tech from reputed institutes like NIT, BITS, or equivalent. Be part of India s largest fintech lending ecosystem with 500+ million users and 21+ million merchants. Work in a fun, energetic environment designed to help you reach your full career potential. Unique opportunity to shape India s largest digital lending story and drive financial inclusion.

Senior Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 6-8 Years About FinBox FinBox is a cutting-edge fintech company that is reshaping how financial services are provided to businesses and consumers. Since our launch in 2017, we ve developed some of the most innovative technologies in the financial services space, enabling lenders such as Banks, NBFCs, and large enterprises to create and launch credit products in just days. As a Series A-funded company, we are expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build the best-in-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set new standards in the era of digital finance. We've helped our clients disburse billions of dollars in credit, covering a wide range of unsecured and secured products like personal loans, business loans, mortgages, and education loans. We ve made a significant impact, supporting over 100 companies and serving millions of customers every month. Why You Should Join FinBox: Innovative Environment: We foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what s possible in fintech. Impactful Work: Your work will directly influence millions of lives by making credit more accessible to individuals and businesses. Growth Opportunities: As a Series A-funded startup, we offer numerous opportunities for professional development and career advancement. Collaborative Culture: Be part of a diverse, inclusive team of experts who are passionate about making a difference and supporting each other. Role Overview: As a Senior Data Scientist at FinBox, you will work at the intersection of data and business, helping to deliver impactful solutions in the lending space. You will be responsible for analyzing large datasets, extracting meaningful insights, and applying advanced data science techniques to improve products and drive business results. Key Responsibilities: Data Analysis & Insights Generation: Analyze big data to produce actionable insights that directly contribute to product improvements and business outcomes. Model Building & Experimentation: Develop and deploy algorithms to extract useful information from large datasets. Use statistical analysis and machine learning techniques to create predictive models. Data Visualization & Reporting: Create interactive dashboards and visualizations to help monitor key metrics and inform stakeholders. Automate report generation using data visualization tools. Collaborate with Teams: Work closely with business teams to translate customer requirements into problem definitions and develop algorithmic solutions to address business challenges. Data Processing & Pre-processing: Gather, clean, and preprocess relevant data for insight generation and model building. Present Complex Results: Distill complex analysis into simple, clear visualizations and explanations for stakeholders at all levels. Apply Data Science Techniques: Use techniques such as exploratory data analysis (EDA), regression analysis, decision trees, clustering, survival analysis, and more. Continuous Improvement: Apply iterative analytics to steer the continuous improvement of products and algorithms. Who You Are: Analytical Thinker: You have strong analytical skills and a passion for deriving actionable insights from complex data. Technical Proficiency: Proficient in Python, R, SQL, and Excel. Familiarity with AWS and Git is highly preferred. Data Science Knowledge: Solid understanding of statistical concepts, machine learning models, and algorithms. Knowledge of data science tools and techniques for large-scale data analysis. Data Visualization Expert: You can create clear and impactful visualizations to communicate findings effectively. Problem Solver: You thrive on tackling ambiguous problems and developing innovative solutions that directly impact the business. Collaborative: You enjoy working in a team environment and are able to translate technical concepts into business-friendly language for diverse audiences. Desired Qualifications: 6-8 years of experience in data science with a focus on machine learning and statistical modeling. Expertise in Python, R, SQL, and Excel for data analysis and visualization. Experience with AWS, Git, and other cloud-based technologies. Solid understanding of statistical concepts, machine learning algorithms, and model deployment. Experience with data visualization tools and creating dashboards. Ability to effectively communicate complex results to non-technical stakeholders. Innovative Culture: At FinBox, we love disruption and creativity. Here, you can take ownership and contribute ideas that directly impact our product and the industry. Global Impact: Work on high-impact projects with global customers, improving access to credit for millions. Career Growth: FinBox offers a fast-paced, dynamic environment where you can rapidly grow your career. Collaboration & Diversity: Join a team of talented, passionate people who value collaboration and diverse perspectives. If you re ready to make a real difference in fintech and enjoy solving complex problems with data science, apply now to be part of the FinBox team!

Job Title: Associate Data Scientist - Social Media Analytics About this Role: Join Gartner s Social Media Analytics team, where you will help generate actionable insights from social media and internal/external Gartner data. This role is perfect for someone passionate about learning new technologies, text analytics, and working with unstructured data. As an Associate Data Scientist, you'll analyze data, draw recommendations, and visualize insights for research, using NLP, Machine Learning, and Deep Learning techniques. You will work closely with stakeholders to optimize data mining and improve the accuracy of insights generated. What You ll Do: Execute High-Impact Data Science Projects: Translate research objectives into actionable data and facts using social media and Gartner's internal/external data. Ad-hoc Modeling and Analytical Insights: Provide modeling and analytical insights to inform strategic and operational initiatives. Analyze Unstructured Data: Use advanced data science techniques to analyze unstructured text data, identifying insights and patterns. Interpret and Apply Findings: Align findings with business objectives and translate them into actionable business insights. Solve Business Challenges: Leverage Data Science, ML, and NLP to address pressing business challenges. Stakeholder Interaction: Collaborate with internal and external stakeholders to refine and improve findings. Data Science Driven Initiatives: Drive initiatives with some guidance while building strong domain expertise. Multi-tasking & Agility: Handle different projects in a fast-paced environment with strict SLAs and tight turnaround times. What You ll Need: Education: A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science. Experience: 1-3 years of hands-on AI/ML experience, especially in Text Mining, NLP, and text analytics. Technical Skills: Expertise in Python (Pandas, Numpy, scikit-learn), SQL, TensorFlow, and other data science tools. Familiarity with AWS/Azure environments for training, testing, or deploying models. Machine Learning & NLP Knowledge: Ability to train, fine-tune, or apply ML, Deep Learning, LLMs, and NLP models. In-depth knowledge of NLP concepts and application experience. Data Preparation Skills: Expertise in data cleaning, normalization, and preparation for model training or inference. Analytical Mindset: Strong ability to identify patterns in unstructured datasets and provide actionable insights. Communication Skills: Strong written and verbal communication with the ability to structure clear, concise, and meaningful communication. Critical Thinking & Problem-Solving: Strong analytical skills and the ability to think independently to solve complex problems. Eagerness to Learn: A passion for learning about new technologies in the IT industry, Data Science, and Machine Learning. Research Techniques Understanding: Robust understanding of primary and secondary research methods. What We Offer: Flexible Hybrid Work Environment: Flexibility to work virtually when productive and meet colleagues in person for engaging, purposeful collaboration. Professional Growth: Gartner offers world-class benefits, competitive compensation, and tremendous rewards for top performers. Inclusive Work Culture: Diverse teams from various backgrounds and an environment that values collaboration and team success. Recognition as a Top Workplace: Gartner is consistently recognized as a great place to work worldwide. Join Gartner and contribute to world-class insights while developing cutting-edge technologies in the data science domain. We offer opportunities to grow, thrive, and make an impact! Qualification : A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science.