Climate Change Modeling Jobs in Bengaluru

Data Scientist I Job Type: Full-Time Category: Data Science Location: Bangalore About Bright Money Bright is a mission-driven consumer fintech company helping Americans get out of debt and build stronger financial futures powered by data science and machine learning. Our mobile platform provides personalized tools for credit building, debt paydown, budgeting, and loan refinancing. With 300,000+ users, 100,000+ reviews, and support from top-tier investors like Sequoia, Falcon Edge, and Hummingbird, Bright is one of the fastest-growing fintech startups in the U.S. We ve raised $90M+ in equity and debt funding to date. We're proud to be building a global-first, data-driven consumer tech company from India, for the world. About the Role As a Data Scientist I, you will be part of a high-impact team using data and machine learning to power Bright s core financial products. You ll work on problems that directly improve users financial outcomes modeling behavior, predicting intent, and enabling smarter, automated experiences. This is a hands-on role for someone with strong fundamentals in ML, statistics, and programming, and a desire to turn data into real-world product impact. Key Responsibilities Design and build predictive models using core concepts of machine learning, statistics, and probability. Analyze large-scale user and transactional data to extract insights and inform strategy. Collaborate cross-functionally with product managers, engineers, and business stakeholders to define and solve problems. Deploy ML models into production environments, ensuring scalability, stability, and performance. Tune, evaluate, and interpret model results to maximize business value and user outcomes. Document methodologies and workflows for reproducibility and team collaboration. Stay current with AI/ML advancements and experiment with new techniques as appropriate. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Strong grasp of ML and statistical concepts (e.g., regression, classification, hypothesis testing, probability distributions). Proficiency in Python or R, and experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with model deployment tools and frameworks (e.g., Docker, Flask/FastAPI, MLflow). Understanding of how to implement and monitor models in a real-world production environment. Awareness of modern AI techniques including transformers, LLMs, and generative AI. Strong problem-solving skills, curiosity, and ability to communicate complex ideas clearly. Exposure to cloud platforms like AWS, GCP, or Azure is a plus. Bonus Points For Experience with deep learning and advanced neural network architectures. Understanding of MLOps best practices (CI/CD for ML, monitoring, retraining pipelines). Personal projects, open-source contributions, or research publications in AI/ML. What You ll Work On Model user behavior and financial patterns to power intelligent product features. Analyze complex transaction datasets to surface actionable insights. Build and deploy ML systems that personalize savings and debt management strategies. Apply deep learning, reinforcement learning, and LLMs to real-world fintech use cases. Collaborate with engineering and product teams to launch data-powered experiences in the Bright app. Experiment with cutting-edge AI technologies to innovate in consumer finance. At Bright, you ll go beyond theory you ll use data to change lives. This is your chance to build meaningful, scalable machine learning systems that empower users to take control of their financial future. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field

Assistant Risk Modelling Manager Location: Bengaluru Department: Risk & Modelling About OneSavings Bank (OSB) Group OneSavings Bank (OSB) Group is a specialist lending and retail savings group listed on the London Stock Exchange and a member of the FTSE 250. Headquartered in Chatham, Kent, OSB is regulated by the Prudential Regulation Authority and the Financial Conduct Authority. OSB focuses on niche lending markets offering high growth and strong risk-adjusted returns, including: Buy-to-Let and commercial mortgages Residential development finance Specialist residential lending and secured funding lines We operate under trusted brands such as Kent Reliance, CCFS, InterBay Commercial, Prestige Finance, and Heritable Development Finance. Retail savings are primarily sourced through Kent Reliance via branches, online, and postal channels. Our offshore delivery and support operations are handled by OSB India, with offices in Bengaluru and Hyderabad. About OSB India Pvt Ltd OSB India, a wholly owned subsidiary of OSB Group, plays a critical role in delivering operational and customer support services. Since 2004, OSB India has focused on service excellence, process efficiency, and continuous improvement for the group s UK operations. Role Overview As the Assistant Risk Modelling Manager, you will support capital and impairment reporting, provide deep data insights, and contribute to strategic projects. This role involves analysis, stakeholder collaboration, and ensuring regulatory and internal compliance. Key Responsibilities Lead and support monthly IFRS9 impairment and IRB RWA reporting with trend analysis and insights Provide analytics to support collections and help define operational priorities Drive and deliver strategic projects, managing timelines and stakeholders Assist with IFRS9 engine code changes, conduct impact assessments, and challenge trends Identify process and model weaknesses and develop mitigating solutions Produce clear, insightful commentary for credit and audit committees, including regulatory teams Ensure compliance with model execution and operational risk requirements Maintain adherence to Finance, Risk Management, and Data Governance Policies Build strong working relationships with UK stakeholders and capture clear requirements Complete all mandatory compliance training and attestations Experience Required Minimum 7+ years in a related role in retail or mortgage finance Extensive hands-on experience in SAS, SQL, and advanced Excel Proven ability to generate and present detailed analytical and reporting outputs Experience with impairment/capital modelling processes (preferred) Comfortable managing priorities, leading tasks, and collaborating with international teams Technical & Functional Skills Expert in SAS and SQL for data analysis and reporting Working knowledge of IFRS9 (impairment) or IRB (capital) frameworks Understanding of probability/statistics in a financial risk context (preferred) Core Competencies Strong analytical thinking and problem-solving skills Effective communication skills, both written and verbal Ability to deliver clear, actionable reports to senior stakeholders Self-motivated with a proven ability to learn new technical skills and tools This role is an exciting opportunity to work at the intersection of data, risk, and strategy within a dynamic and growing financial group. If you have a strong analytical mindset and are looking to influence real business decisions, we'd love to hear from you.

Job Title: Mechanical Design Engineer Location: Bengaluru Experience Required: 2 to 4 years Minimum Qualification: Bachelor of Engineering (BE) Key Skills Mechanical Product Design 3D Modeling (NX or SolidWorks) Engineering Drawing & Documentation Prototyping & Testing FEA & Tolerance Stack-Up Analysis DFMEA & Risk Assessment Cross-functional Collaboration Supplier & Manufacturing Support Job Summary We are looking for a talented and detail-oriented Mechanical Design Engineer to support the development of innovative mechanical products from concept through to production. The ideal candidate will have 2 4 years of hands-on experience in mechanical design, a strong grasp of engineering principles, and a passion for problem-solving and continuous improvement. Key Responsibilities Support mechanical design efforts for new product development from concept to launch. Create detailed 3D models, engineering drawings, and Bills of Materials (BOMs) using NX or SolidWorks. Build and test prototypes to validate design concepts and performance. Collaborate closely with electrical, software, industrial design, and manufacturing teams. Evaluate material choices, manufacturing processes, and cost implications during the design phase. Perform tolerance stack-up analyses, finite element analysis (FEA), and other engineering calculations. Participate in and support design reviews, DFMEA sessions, and risk assessments. Liaise with suppliers and contract manufacturers to ensure design integrity through production. Maintain accurate documentation in line with engineering change control and regulatory requirements. Contribute to continuous improvement initiatives and intellectual property (IP) development. Qualification : Bachelor of Engineering (BE)

Position: Equity Research (Content/Editorial) - Manager Location: Bengaluru About Groww At Groww, we re a passionate team committed to making financial services accessible to every Indian. Our mission is to empower millions of customers by providing a multi-product platform that enables them to take charge of their financial journey. Customer obsession is at our core every product, design, and algorithm is built with the customer s needs and convenience in mind. At Groww, we believe in a culture of ownership, integrity, and the constant drive to challenge the status quo. Our Vision We believe every individual deserves the knowledge, tools, and confidence to make informed financial decisions. Groww s long-term vision is to be the most trusted financial partner for millions of Indians, offering a diverse range of financial services through a cutting-edge platform. Our Core Values Radical Customer Centricity Our customers are at the heart of everything we do. Ownership-Driven Culture We take responsibility and accountability in all we do. Simplicity We simplify complex financial concepts for better accessibility. Long-Term Thinking We focus on sustainable growth and future impact. Transparency We maintain openness in every decision, interaction, and process. Role Overview We re looking for an Equity Research Lead who can build and lead a team responsible for conducting in-depth analysis on macroeconomic developments, industries, companies, and policies. This role is key in providing high-quality, insightful content that will help over 1.5 crore Groww investors make informed investment decisions. As the manager of this team, you will also drive strategy, foster a culture of excellence, and ensure that your research is communicated effectively across multiple platforms, from reports to social media content. Key Responsibilities: Equity Research: Lead comprehensive research on companies, sectors, and industries, including financial statement analysis, valuation models, and competitive benchmarking. Market & Economic Analysis: Monitor macroeconomic trends, policy changes, and market movements to understand their impact on the equity markets. Content Creation: Produce high-quality research content across various formats, including reports, blogs, videos, and social media posts to effectively communicate findings. Team Leadership: Lead and mentor a team of equity research analysts, fostering a culture of continuous learning and high performance. Client Engagement: Work closely with engagement teams to ensure that your research is effectively communicated and aligns with client needs. Strategic Input: Contribute to the broader research strategy and help shape the direction of Groww s research approach. Compliance: Ensure that all research activities meet regulatory requirements and internal compliance standards. Qualifications: Experience: 3+ years of proven experience in equity research, with a strong track record of delivering high-quality insights. Education: Bachelor's degree in Finance, Economics, or a related field. A Master s degree and/or CFA charterholder is highly preferred. Skills: Strong analytical skills, including proficiency in financial modeling and data analysis tools. Excellent written and verbal communication skills; ability to present complex ideas clearly and engagingly. Leadership experience in managing and motivating teams. Deep understanding of the Indian financial markets and regulatory landscape. Awareness of industry best practices and emerging trends in equity research. Join India s fastest-growing financial services company and be part of a team that's reshaping the financial landscape. Work in a culture of transparency, collaboration, and continuous growth. Lead a passionate team and help millions of users make better investment decisions every day. If you are passionate about equity research and want to make an impact in a fast-growing fintech company, we d love to hear from you. Qualification : Bachelor's degree in Finance, Economics, or a related field. A Masters degree and/or CFA charterholder is highly preferred

Position: Senior/General Manager Corporate Development Location: Bangalore Department: Zetwerk Corporate About Zetwerk Zetwerk is the world s largest global manufacturing network for custom manufacturing, transforming digital designs into high-quality physical products. From simple steel pipes to complex aerospace components, we serve a broad range of industries from traditional sectors like Oil & Gas, Infrastructure, and Aerospace to modern ones such as Renewables, EVs, and Consumer Electronics. Through a network of 1,000+ manufacturing partners, Zetwerk offers advanced capabilities like CNC machining, 3D printing, plastic injection molding, and die casting supported by our proprietary Manufacturing Operating System (ZISO) that delivers real-time tracking, quality assurance, and end-to-end transparency. Why Join Zetwerk We are transforming the future of manufacturing with technology at our core. At Zetwerk, you ll work with ambitious, innovative teams and industry leaders, helping shape how the world builds. We offer you the platform to grow your career, make a tangible impact, and thrive in a collaborative, inclusive culture. Role Overview We are looking for a strategic and driven Senior/General Manager Corporate Development to join our high-performing team. You will lead initiatives that drive Zetwerk s long-term growth ranging from M&A evaluation to partnership development, international expansion, and IPO preparedness. This is a high-impact role with direct visibility to leadership and the opportunity to help shape Zetwerk s future. Key Responsibilities Mergers & Acquisitions (M&A): Identify and evaluate acquisition opportunities aligned with Zetwerk s strategic goals Conduct in-depth market research, financial modeling (DCF, comparables, ROI), and scenario analysis Lead due diligence across legal, financial, tax, and operational domains Create investment memos and board-level presentations Corporate Strategy & Development: Monitor industry trends and competitive landscapes to propose new strategic initiatives Assess expansion into adjacent markets (geographic or technological) Support post-deal integration, performance tracking, and synergy realization Collaborate with cross-functional teams and external stakeholders on deal structuring IPO & Strategic Finance Support: Drive IPO readiness initiatives including internal process improvement, governance, and documentation Assist with investor communications, benchmarking, and capital markets analysis Coordinate with finance, legal, and compliance teams to ensure audit and disclosure readiness Experience: 6 14 years in Corporate Development, M&A, Investment Banking, Private Equity, or related roles Education: MBA with CA/CFA/Engineering background preferred (flexible for exceptional candidates) Skills: Advanced financial modeling and valuation expertise Strong analytical, communication, and presentation skills Ability to lead multiple high-impact projects simultaneously Understanding of regulatory and compliance frameworks What Zetwerk Offers A high-growth environment with unparalleled learning and leadership opportunities A culture that values innovation, ownership, and collaboration Career advancement in a rapidly growing company redefining manufacturing Competitive compensation and performance-linked rewards A chance to be part of a once-in-a-lifetime journey building a world-class business Shape the future of global manufacturing with Zetwerk. Apply now and be part of the revolution. Qualification : MBA with CA, CFA, or Engineering preferred

Electrical System Installation (ESI) Engineer Experience: 3 12 Years Location: Bangalore Role Overview: We are looking for an experienced Electrical System Installation Engineer / Technical Leader to support electrical harness design and installation projects, primarily in aerospace programs such as Airbus A320. This role requires managing design synchronization, modification processes, and ensuring compliance with Airbus design standards and processes. The candidate will work closely with cross-functional teams and design offices to deliver consistent, high-quality electrical system installations. Key Responsibilities: Coordinate and synchronize design activities with various design offices and project teams (e.g., DDMS projects) Manage the complete modification process from Change Request initiation to drawing delivery Establish and maintain design-related processes, methods, and tools to ensure full consistency and coherence Provide accurate and timely reporting to the Head of Project Support system installation design, follow-up, and validation checks Create and maintain drawing sets for Harness Design, Installation, VKE, Equipment Installation, Heater Installation, VU/VE Design Ensure compliance with Airbus installation rules and processes throughout the project lifecycle Qualifications: 3 to 12 years of hands-on experience in Electrical System Installation with strong DMU skills for harness modeling and installation analysis within A320/SA projects Good understanding of Airbus-specific tools and processes including Configuration Management, EHI Concept Design, Electrical Bracket Positioning, IP and UID proposals Experience in system installation design and support activities (design follow-up, installation checks) Knowledge of Functional Electrics (FE) including Configuration Management, Design, RDR & DQN instructions, and support on delivery checks is a plus Familiarity with Design Organization Approval (DOA) is advantageous Technical Skills: Expertise in Catia V5, VPM, PDMLink, PASS SSI / CCD, TAKSY, AIRINA, IPM4Legacy, and other Airbus customized tools Proficient in MS Office applications (Word, PowerPoint, Excel)

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Business Intelligence Manager | Power BI | Data Analytics | SQL | Bangalore Location: Bangalore, India Department: Business Analytics & Insights Reports To: Director, Business Analytics & Insights Experience Required: 5+ years in Business Intelligence or Data Analytics Industry: SaaS / Revenue Lifecycle Management About Conga: At Conga, we empower businesses to drive transformational revenue growth by aligning their teams, processes, and technology. Our revenue lifecycle management platform simplifies the complexity of order configuration, fulfillment, and contract renewals through a unified data model and automation. Our culture is defined by the Conga Way a values-based framework that shapes our decision-making, teamwork, and innovation. Position Overview Business Intelligence Manager: We re seeking an experienced Business Intelligence (BI) Manager to join our team in Bangalore. In this critical role, you will lead the transformation of large and complex datasets into actionable insights using Power BI, drive data governance, and automate reporting processes to support strategic decision-making across the organization. Key Responsibilities: Power BI Expertise: Build and optimize advanced Power BI dashboards and reports using DAX and complex data modeling. Team Leadership: Manage and mentor BI developers and analysts, ensuring high-quality and scalable insights delivery. SQL & Data Warehousing: Leverage SQL (preferably with Snowflake) for data transformation and efficient report querying. Automation: Streamline reporting processes using Power Automate and related tools, improving efficiency and accuracy in executive and board-level reporting. Data Governance: Implement data quality, security, and governance standards to ensure reliable analytics. Documentation: Maintain clear and complete documentation of BI solutions, data flows, and reporting logic. Stakeholder Collaboration: Translate business requirements into technical specifications and collaborate with the enterprise data team to enhance existing models and analytics solutions. Qualifications: Minimum 5 years of experience in BI, analytics, or data reporting roles, with at least 2 years leading a team. Proficiency in Power BI, DAX, and SQL. Experience working with Snowflake or other cloud data platforms. Strong understanding of customer retention, renewals, or customer success metrics. Familiarity with Power Automate or similar automation tools is a plus. Demonstrated experience in data governance, data quality control, and standardization across reporting environments. Bachelor s or Master s degree in Engineering or a related technical field. A technical degree with an MBA is preferred. Excellent communication skills capable of presenting technical insights to both business and technical audiences. Join a forward-thinking SaaS company leading the charge in revenue lifecycle management. Work in an inclusive, values-driven environment with opportunities for career development and innovation. Be part of a culture where clarity, collaboration, and customer-centricity drive everything we do. Qualification : Bachelors or Masters degree in Engineering or a related technical field. A technical degree with an MBA is preferred.

Data Engineer (Python/Dataiku/Spark/SAS DI) Location: Bangalore Type of Employment: Full-Time Experience Required: 3 to 5 years Job Overview: We are looking for a passionate Data Engineer with expertise in Python, Dataiku, Spark, or SAS DI to join our dynamic team. In this role, you will collaborate with clients to build data pipelines that support their Data and Analytics journey. As a member of our team, you will be responsible for driving data engineering initiatives, developing and implementing ETL solutions, and optimizing data workflows for efficiency and scalability. Key Responsibilities: Data Engineering Initiatives: Collaborate with clients to define and implement data engineering initiatives based on business needs. ETL Development: Design and develop data integration solutions using tools like Python, Dataiku, Spark, and SAS DI. Develop and maintain automated data pipelines for real-time and batch data ingestions. Performance Tuning: Conduct performance tuning and optimize queries and data models to enhance performance and scalability. Database Design: Design and implement database objects such as tables, views, schemas, and stored procedures. Ensure data quality and consistency across the data warehouse. Collaboration: Work closely with cross-functional teams to translate business requirements into technical solutions and communicate effectively with clients across multiple regions. Troubleshooting: Troubleshoot and resolve data-related issues while ensuring the quality and integrity of the data. Project & Technical Leadership: Act as the technical lead or single point of contact (SPOC) for the client and internal teams, ensuring smooth project delivery. Essential Skills: Data Engineering Tools: Experience with Python, Dataiku, Spark, and SAS DI. SQL Proficiency: Strong SQL experience for extracting data from various databases and performing data analysis. ETL Development: Expertise in designing and developing ETL processes to integrate data from diverse sources into a data mart layer. Data Modeling: Understanding of data modeling concepts, including relational and dimensional modeling. BI Knowledge: Basic understanding of Business Intelligence (BI) tools and analytics needs. Communication Skills: Excellent communication skills to understand business requirements and translate them into technical solutions. Desirable Skills: Data Analysis: Strong analytical skills to perform data analysis, especially for banking products data. BI Tools: Experience with MicroStrategy or Power BI for reporting and dashboarding. Qualifications: 3+ years of experience designing and developing scalable data integration solutions. Familiarity with data analytics and reporting needs. Technical certifications that align with your continuous learning aspirations. Qualities: Strong problem-solving skills with a systematic approach to resolving issues. Ability to influence and implement change confidently. Excellent team player who works effectively in cross-functional teams. Strong communication and presentation skills, capable of interacting with clients and presenting ideas persuasively. Fluent in English, both written and spoken, for effective communication. Opportunity to work with cutting-edge data engineering tools and technologies. Be a key player in building and optimizing data pipelines for clients data and analytics needs. Competitive salary, benefits, and a dynamic, innovative work culture.

Position: Data Integration Developer (Snowflake & DBT) Location: Bangalore Employment Type: Full-time Experience Required: 5 to 7 years Purpose of the Position: This role seeks candidates who are passionate about data and motivated to address the organization's analytics challenges. As a Data Integration Developer (Snowflake & DBT), you will play a crucial role in assisting our clients with their data and analytics journey. Your responsibilities will include building robust data pipelines, enhancing data consistency, and developing the necessary infrastructure to support analytics platforms. Key Responsibilities: Technical Expertise: Develop and optimize ETL processes using Snowflake capabilities. Build and maintain advanced data models and ETL processes using DBT (Data Build Tool). Ensure efficient data transformation and integration within the data warehouse. Collaboration: Work closely with data analysts, engineers, and stakeholders to understand business requirements and translate them into technical solutions. Facilitate effective communication and collaboration across teams. Quality Assurance: Implement and oversee data quality checks and testing procedures. Ensure data accuracy, consistency, and compliance with governance policies. Documentation and Reporting: Create and maintain comprehensive documentation for ETL processes and project workflows. Provide regular updates and reports on project progress and performance metrics. Compliance and Security: Ensure all data engineering activities comply with data governance and security policies. Implement measures to protect data integrity and confidentiality. Essential Skills: Proficient in SQL: Skilled in writing efficient queries on large datasets, including CTE and database table design. Snowflake Expertise: Experience with Snowflake or other database technologies, including SQL tuning. ETL Development: Skilled in developing and optimizing ETL processes using Snowflake and other tools. DBT Experience: Familiar with DBT Core/DBT Cloud and fundamental data modeling concepts (3NF, Star, Snowflake). Data Analysis and Profiling: Experienced in data analysis and profiling tasks. Qualifications: Overall Work Experience: More than 5 years of experience, with at least 2-3 years of experience in Snowflake and DBT. Education: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus). Key Qualities: Decision Making: Ability to influence and implement change with confidence and sound decisions. Problem-Solving: Tackles problems head-on with a logical, systematic, and practical approach; follows up with developers. Communication: Ability to consult, write, and present persuasively. Team Collaboration: Works effectively in self-organized, cross-functional teams. Apply now and become an integral part of our innovative team working on cutting-edge data integration solutions! Qualification : Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus).

Job Title: Pre-Sales Technical Project Manager Digital Transformation Location: Bangalore Experience: 12 18 Years Job Overview We are seeking a highly skilled and experienced Pre-Sales Technical Project Manager with 12-18 years of experience to lead the proposal efforts for Digital Transformation projects. The ideal candidate will possess a strong technical foundation, deep understanding of enterprise solutions, and significant expertise in managing pre-sales activities, including proposal development, solution architecture, and client engagement. You will play a critical role in designing innovative solutions, managing the pre-sales process, and ensuring successful outcomes for complex, enterprise-level projects. Key Responsibilities RFI/RFP Management: Lead and coordinate RFI/RFP responses, ensuring the development of competitive, customized solutions that meet client needs and demonstrate our capabilities. Pricing & Financial Models: Develop and validate pricing models, including presumptive scenarios for various service offerings, ensuring alignment with client requirements and organizational objectives. Risk Identification & Mitigation: Identify potential risks during the solutioning and transition stages and implement effective strategies to mitigate these risks. Change Management Governance: Design and define change management governance models to facilitate smooth project transitions and minimize operational disruptions. Cross-Functional Collaboration: Engage with key teams Legal, Risk & Compliance, IT Infrastructure, Operations, and Finance to ensure alignment on contractual documents (NDAs, MSAs, SOWs, LOEs, etc.) and compliance with organizational and regulatory standards. Knowledge Management: Maintain a dynamic repository of templates, case studies, and other materials to improve efficiency and share knowledge across teams. Required Skills & Experience Experience: 12-18 years of experience in managing Digital Transformation projects, with at least 7-10 years focused on pre-sales or solutioning roles in IT services or consulting. Pricing & Financial Expertise: Proven experience in building pricing models, conducting financial projections, and performing cost-margin analyses. Contractual Knowledge: Familiarity with contractual documents such as NDAs, MSAs, SOWs, and LOEs. Ability to work closely with legal and compliance teams to ensure proper documentation and alignment. Risk Management: Strong analytical skills with the ability to foresee potential risks during the solutioning and transition phases and proactively address them. Communication & Collaboration: Excellent verbal and written communication skills, with the ability to manage stakeholder relationships and collaborate cross-functionally across various teams. Technical & Business Alignment: Ability to bridge the gap between technical and business teams, ensuring alignment of solutions to meet both business objectives and technical requirements. Tool Proficiency: Proficiency in tools such as ChatGPT, Microsoft Excel, financial modeling platforms, and proposal documentation tools. This is an exciting opportunity for a talented Pre-Sales Technical Project Manager to make a significant impact by leading the charge on Digital Transformation proposals and solutioning. If you're a results-driven professional who thrives in a fast-paced, collaborative environment, we invite you to apply!

Job Title: Data Scientist Location: Bengaluru Experience: 4+ Years About Linarc: Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered. Built for general contractors, construction managers, and trade partners, Linarc offers a next-generation platform that delivers unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability, empowering teams to deliver projects faster, smarter, and with greater control. Join us in shaping the future of construction tech. If you thrive in a dynamic, fast-growing environment and want to make a significant impact, Linarc is the place for you. This is a full-time position based in Bengaluru. Roles and Responsibilities: Data Analysis & Modeling: Develop and implement machine learning models to address complex business problems. Build predictive models and algorithms to forecast customer behavior, product usage, and business outcomes. Conduct statistical analysis and hypothesis testing to uncover key insights and trends. Data Engineering & Processing: Clean, preprocess, and transform large-scale datasets from multiple sources. Design and optimize data pipelines for both real-time and batch processing. Business Insights & Reporting: Collaborate with business teams to define key performance indicators (KPIs). Develop dashboards and reports to effectively communicate findings and business performance. Present actionable insights and recommendations to stakeholders and leadership teams. Product Improvement: Partner with product managers to integrate data-driven insights into product features. Monitor model performance and continuously improve accuracy and scalability. Run A/B tests to evaluate the impact of product changes and optimize user experience. Research & Development: Stay updated with the latest developments in machine learning, artificial intelligence, and data science. Explore and implement new techniques and tools to drive innovative solutions and improve outcomes. Qualifications: Minimum Experience: 3 years of professional experience in Data Analytics, Data Science, AI, or Machine Learning. Technical Expertise: Deep analytical expertise in applying statistical solutions to business problems. Experience with exploratory data analysis of large datasets using tools like SQL, Hive, Spark, or similar. Proficiency in machine learning and deep learning tools such as Scikit-learn, TensorFlow, PyTorch, and familiarity with techniques like Neural Networks, Gradient Boosting, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, Clustering, etc. Experience working with visualization tools such as Tableau and Power BI. Business & Innovation: Demonstrated ability to innovate solutions and solve business problems using data science techniques. Desirable Additional Experience: 4+ years of experience in data science or machine learning in a product-focused environment. Experience working with relational or document databases. Proficiency in C, Python, PyTorch, Java, JavaScript, Node.js, React.js, or Vue.js. Strong knowledge of hypothesis testing and regression analysis. Experience in a SaaS product environment. Educational Qualifications: Bachelor s/Master s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

Job Overview Join our collaborative and creative group of AI scientists and machine learning engineers as a Senior AI Scientist! In this role, you'll be instrumental in designing, building, and deploying machine learning models in AI-native applications within our Virtual Expert Platform (VEP). You'll directly impact our customers across QuickBooks, TurboTax, Mailchimp, and Credit Karma, developing AI solutions that enhance customer success by blending AI and human expertise. You'll work on some of the most exciting challenges, from forecasting, capacity planning, optimization, and variance analytics, to recommendation systems and decision systems. The solutions you create will be a key part of multi-billion-dollar services like QuickBooks Live and TurboTax Live. Responsibilities Data Analysis & Modeling: Perform hands-on data analysis and build machine learning models using large datasets. Apply data mining, machine learning (both supervised and unsupervised) to improve algorithms related to relevance and personalization. Collaboration: Work closely with product managers, software engineers, and designers to design experiments and develop minimum viable products (MVPs) that leverage AI technologies. Feature Creation & Refinement: Develop features from raw data, continuously refining models to enhance performance. You'll be experimenting with different features and applying your intuition to make improvements. A/B Testing & Optimization: Run A/B tests, collect data, perform statistical analysis, and assess the impact of your optimizations. Communicate the results to both peers and leaders. Product & Service Innovation: Collaborate with business planners to propose innovative AI-driven products and services. Ensure that AI s power is fully integrated into new services. Infrastructure Collaboration: Work with infrastructure architects to streamline systems and improve data governance for agile and responsive data manipulation. Research & Thought Leadership: Introduce cutting-edge academic or industry research to Intuit leadership to solve complex problems and fuel new business opportunities. Mentorship & Community Building: Serve as an advisor and mentor, helping to grow and nurture a vibrant AI practice within the organization. Qualifications Education: MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field. Experience: 5+ years of experience building AI systems using data mining algorithms and statistical modeling techniques, including: Clustering, Classification, Regression, Decision Trees, Neural Networks, Support Vector Machines, Anomaly Detection, Recommender Systems, Sequential Pattern Discovery, Text Mining, and more. 2+ years of experience in a lead or management role within AI/Data Science. Technical Skills: Proficient in Python and familiar with version control systems like Git/GitHub. Experience with distributed computing and distributed databases (e.g., Hadoop, NoSQL, Hive, Pig). Strong understanding of mathematical concepts and the ability to apply them to create original solutions. Preferred: PhD in a related field. Proven experience working with large-scale machine learning techniques and datasets. Deep experience with Hadoop and related programming environments. Strong problem-solving skills and the ability to communicate complex ideas to both technical and non-technical stakeholders. Soft Skills: Excellent communication skills and experience influencing at an executive level. Strong interpersonal skills for collaborating with technical teams and making impactful presentations to diverse stakeholders. This is an exciting opportunity to be part of a highly innovative team at the forefront of AI and machine learning. You'll be solving complex, high-impact problems that directly influence customer experiences across multiple industries. The role offers the chance to lead cutting-edge AI projects while mentoring a talented team and driving the development of transformative AI-powered solutions. Qualification : MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.

Your Impact As a Data Science Analyst at McKinsey, you will collaborate closely with the Insights & Analytics (IA) group and consulting teams to solve analytically complex client problems in the marketing domain. You will apply advanced analytical and modeling techniques, drawing insights through statistical techniques and predictive modeling to guide marketing efforts. Your primary responsibility will be client service, with an additional focus on knowledge development within the team. Key activities will include: Performing statistical analysis and modeling to support marketing-related client engagements. Developing and refining statistical models aimed at optimizing pricing strategies and promotional activities. Providing guidance to teams on analytics projects, particularly on technique and modeling-related issues. Supporting the development and maintenance of McKinsey s proprietary marketing techniques and contributing to other knowledge development initiatives. Coaching and mentoring new hires by sharing your business, technical, and functional expertise. Delivering high-quality, client-ready end products on time, with attention to detail and performing quality checks as required. Your Growth You will be a key part of McKinsey s Growth, Marketing & Sales (GM&S) team, based in either Gurgaon or Bengaluru, primarily supporting the Insights & Analytics (IA) group of GM&S. This team leverages McKinsey's decades of experience in marketing and sales to help leading companies improve pricing, promotions, assortments, and performance management. The GM&S Solutions team blends cutting-edge software, tailored services, and deep expertise to provide clients with a comprehensive view of their commercial and financial performance. By integrating various data sources into a central data warehouse, the team enables clients to make informed decisions using advanced analytics. McKinsey Solutions fosters innovation in areas such as design thinking, mobile, and social, helping to reshape the consulting model toward asset-based solutions. This is a growing area within McKinsey, with a vibrant ecosystem of alliances, strategic acquisitions, and the development of new products and services that redefine how McKinsey works with clients. As part of McKinsey Solutions, you ll be part of a team of more than 1,000 dedicated professionals, including over 800 analysts and data scientists, working on impactful, innovative solutions. Your Qualifications and Skills Mandatory: Master s degree in Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or an MBA with a strong quantitative background. 2+ years of relevant work experience in analytics, business intelligence, or advanced analytics with an analytics firm. Proficiency in statistical programming software such as Python, and comfortable working with large datasets. Familiarity with R and SQL is also preferred. Experience in handling large volumes of data, including data manipulation, data cleansing, and data matching using tools like R, SQL, and Excel VBA. Strong analytical and problem-solving skills, with the ability to break down complex issues, identify root causes, and recommend actionable solutions. Knowledge of forecasting, regression analysis, and segmentation methodologies. Experience with modeling techniques, including logistic regression, linear regression, cluster analysis, CHAID, and similar approaches. Industry experience in consumer goods, telecom, or retail is a plus. Ability to thrive in a dynamic and evolving environment where priorities change frequently, and methodologies are often challenged. Capacity to work efficiently under pressure and meet tight deadlines. Qualification : Masters degree in Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or an MBA with a strong quantitative background.

Company Overview At Intuit, we re on a mission to power prosperity for people and communities around the globe. With products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, we serve over 100 million customers worldwide. Our goal is simple ensure everyone has the opportunity to thrive financially. We re constantly innovating, finding new ways to help people manage their finances better, and we need a passionate, skilled Full Stack Engineer to help us revolutionize the future of finance with AI-driven experiences. Job Title: Full Stack Engineer - AI Development At Intuit, our AI team is pushing the boundaries of what's possible in financial technology. We re building cutting-edge solutions that deliver personalized, proactive insights to millions of users. As a Full Stack Engineer on our team, you ll play a pivotal role in creating the infrastructure and applications that bring these AI innovations to life. This is a unique opportunity to work with the latest AI technologies while building impactful web applications for TurboTax, QuickBooks, and beyond. Responsibilities: Develop High-Performance Applications Design, develop, and deploy consumer-facing web applications that integrate seamlessly with our AI models and services. Ensure that applications are scalable, modular, and secure, delivering high-quality experiences to millions of users. Collaborate with Cross-Functional Teams Work closely with data scientists, machine learning engineers, and product managers to transform complex algorithms and data into intuitive, user-friendly interfaces. Contribute to the development of AI platforms and tools for model training, deployment, and monitoring. Backend System Design Build and maintain robust backend systems to support the AI-powered features across Intuit's portfolio. Take ownership of the end-to-end product lifecycle, including resolving defects/bugs and working on post-release patches. Champion Best Practices Promote best practices in software development, including thorough code reviews, unit testing, and documentation. Stay up-to-date with the latest trends in AI, web development, and cloud technologies. UI/UX & Prototypes Design and develop web, software, and mobile applications with a focus on accessibility, internationalization, and user experience. Contribute to the architecture and design of projects to ensure scalability and performance. Qualifications: Educational Background BS/MS in Computer Science or equivalent field. Technical Expertise 5+ years of experience in full-stack software development with a strong focus on JavaScript, HTML, CSS, and backend frameworks such as Node.js, Python/Django, or Java/Spring. Proficiency with modern web technologies and architectures such as React, Angular, Vue.js, and RESTful APIs. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL and NoSQL) and data pipelines. Programming & Frameworks Strong experience with Kotlin/Java and web technologies. 4+ years of experience with APIs (creating and consuming) using REST or GraphQL. Experience with UI frameworks like React, Angular, and JavaScript in a single-page architecture. Experience with unit testing and Test-Driven Development (TDD). Data Management & Systems Familiarity with Postgres, Data Lakes, Kafka, and schema modeling will be a plus. Solid foundation in writing scalable web applications that follow best practices in accessibility, internationalization, and instrumentation. Collaboration & Communication Strong communication skills with the ability to work effectively in a cross-functional team. Ability to contribute to both individual work and team-based projects in an Agile environment. Bonus Points: AI/ML Expertise Experience with machine learning frameworks like TensorFlow or PyTorch and AI/ML model deployment. Contributions to open-source projects related to AI or web development. Experience with data visualization tools and techniques to present AI insights effectively. Join Intuit and become part of a forward-thinking team that is shaping the future of financial technology. You ll have the opportunity to work on innovative AI-driven projects that have the potential to impact millions of people s financial lives. Here, your contributions matter, and you ll be empowered to build scalable, secure, and high-performance systems that drive true change. Qualification : BS/MS in computer science or equivalent

Job Title: Application Security Engineer About PhonePe Group PhonePe is India s leading digital payments company with 500 million registered users and 37 million merchants, covering over 99% of India s postal codes. Building on its leadership in digital payments, PhonePe has expanded into financial services, including insurance, mutual funds, stock broking, and lending. It has also ventured into adjacent tech-enabled businesses such as Pincode for hyperlocal shopping and Indus App Store, India s first localized app store. The PhonePe Group is a portfolio of businesses aligned with the company s vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services. Culture At PhonePe, we empower our people and trust them to do the right thing. We create an environment that enables you to give your best every day, from day one. If you are passionate about building technology that impacts millions, ideating with the brightest minds, and executing with purpose and speed, PhonePe is the place for you! Job Description We are looking for a skilled Application Security Engineer to join our team and strengthen our security posture. You will proactively identify and mitigate vulnerabilities across our web applications, APIs, and mobile apps. The ideal candidate will have a strong background in penetration testing, secure code review, and security automation. Roles & Responsibilities (What You Will Do) Penetration Testing: Perform penetration testing on web applications, APIs, and mobile apps, providing in-depth vulnerability analysis and remediation guidance. Secure Code Review: Conduct both manual and automated secure code reviews, primarily in Java, Python, and JavaScript. Security Automation: Develop security automation solutions using Python to streamline testing, improve coverage, and reduce manual effort. Collaborate with Development Teams: Work closely with development teams to ensure timely resolution of security issues within fast-paced release cycles. Threat Modeling: Create and maintain threat models, applying threat modeling techniques to proactively identify and mitigate design-level security risks. Security Education: Foster a security-first mindset by educating developers on secure coding practices, common vulnerabilities, and attack vectors. Effectively communicate security findings to stakeholders. What Makes You a Great Fit Experience: 1-5 years of experience in application security, penetration testing, or related fields. Penetration Testing Expertise: Strong penetration testing expertise with tools like Burp Suite, OWASP ZAP, semgrep, MobSF, Jadx-GUI, and other mobile security testing frameworks. DevSecOps Knowledge: Experience integrating security into the SDLC and familiarity with DevSecOps tools. Secure Coding Knowledge: Proficiency in secure coding principles, OWASP Top 10, CWE, and exploit techniques. Scripting Skills: Strong scripting skills (Python preferred) for security automation. Communication Skills: Excellent communication and stakeholder management abilities. Continuous Learning: Passion for continuous learning and staying updated on security trends. Certifications (Optional): Certifications like OSCP, OSWE, CRTP, or a proven Bug Bounty track record and/or CTF participation are a plus. PhonePe Full-Time Employee Benefits Insurance Benefits: Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance. Wellness Program: Employee Assistance Program, Onsite Medical Center, Emergency Support System. Parental Support: Maternity and Paternity Benefits, Adoption Assistance Program, Day-care Support. Mobility Benefits: Relocation Benefits, Transfer Support Policy, Travel Policy. Retirement Benefits: Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment. Other Benefits: Higher Education Assistance, Car Lease, Salary Advance Policy. Why Work at PhonePe Working at PhonePe is a rewarding experience. With great people, a work environment that thrives on creativity, and the opportunity to take on roles beyond your defined job description, PhonePe offers a chance to grow your career in an innovative, dynamic company.

When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys. Innovate With Ansys, Power Your Career. Summary / Role Purpose The Senior Application Engineer is responsible for leveraging their experience, subject matter expertise, and customer-relationship skills to assist in growing our software business by proactively helping customers deploy ANSYS technology to deliver on their key business initiatives. This role is focused on the Automotive Industry for applications like crashworthiness, occupant, and pedestrian safety. Key Duties and Responsibilities Collaborate with Sales to create solutions to complex customer problems using LS-DYNA and other Ansys structural simulation software. Support Automotive customers in developing methods for crash and safety-related simulation. Present ANSYS value proposition to executive-level audiences. Lead high-profile business development projects and analysis of complex technical problems. Provide best practices to help customers derive more value from ANSYS solutions. Participate in internal corporate initiatives for product enhancement, consulting, and training. Minimum Education / Certification Requirements and Experience BS in engineering or a related technical discipline. Minimum 5 years of experience in automotive crash-related simulation. Knowledge of LS-DYNA and other Ansys tools. Understanding of Euro-NCAP, G-NCAP, and Bharat N-CAP simulation implementations. Experience in durability, full vehicle crash simulation, dummy positioning, airbag modeling. Strong fundamentals in Structural Mechanics, FEA, Non-Linear Materials, and Dynamics. Strong project management skills, ability to work with cross-functional teams. Preferred Qualifications and Skills MS or PhD in Engineering is preferred. Customer service mindset with a passion for excellence. Ability to travel up to 25%. At Ansys, We Operate as ONE Ansys We fuel new ideas, build relationships, and help each other realize our greatest potential. Our Commitments: Amaze with innovative products and solutions. Make our customers incredibly successful. Act with integrity. Ensure employees thrive and shareholders prosper. Our Values: Adaptability: Be open, welcome what s next. Courage: Move forward passionately. Generosity: Share, listen, serve. Authenticity: Be you, make us stronger. Our Actions: We commit to audacious goals. We work seamlessly as a team. We demonstrate mastery. We deliver outstanding results. Inclusion is at Our Core We believe diverse thinking leads to better outcomes. We are committed to creating a workplace where diversity, inclusion, equity, and belonging thrive. Welcome What s Next in Your Career at Ansys At Ansys, you will work alongside visionary leaders to change the world with innovative technology. We push the limits of world-class simulation technology, empowering our customers to turn their design concepts into successful, innovative products faster and at a lower cost. At Ansys, it s about learning, discovery, and collaboration. It s about the "what s next" as much as the "mission accomplished." It s about forging innovation in an environment built on respect, autonomy, and ethics.

Role Purpose: IT Business Analyst We are seeking an IT Business Analyst to join our growing team, supporting Vodafone in delivering high-profile internal and customer-facing projects. This role offers the opportunity to work on significant and often market-leading projects, providing analytical and commercial insight to drive solutions that align with Vodafone s strategic goals. The IT Business Analyst will work closely with senior stakeholders from both business and technical teams to ensure the delivery of cutting-edge IT solutions and exceptional customer experiences. The ideal candidate will be well-versed in business analysis tools and techniques, capable of capturing, documenting, and managing business needs while assessing the business architecture impact of proposed changes. Key Responsibilities Stakeholder Management & Collaboration: Build and maintain trusted relationships with key project stakeholders, including Project Managers and Solution Architects, providing regular updates and escalating issues as needed. Requirements Gathering & Documentation: Use appropriate business analysis tools and techniques to capture, document, and communicate business requirements effectively throughout the project lifecycle. Impact Assessment: Assess the impact of proposed changes on existing processes, organisation, and technology. Provide impact assessments to project scope and deliverables, ensuring traceability of requirements. Business Design & Architecture: Document and communicate business design, ensuring the clarity of impacted stakeholders and business sponsors. Use Business Architecture methods to identify and articulate the people, process, and technology impacts of each project. Project Leadership: Lead the analysis effort on projects, developing the initial project concept, challenging assumptions, prioritising business needs, and driving the requirements process while keeping the customer at the core. Continuous Improvement: Actively identify opportunities for process improvement and contribute to evolving team capabilities. Share project and business knowledge to help grow the team s expertise. Risk & Issue Management: Keep the Analysis and Design Senior Manager informed of any risks, issues, or resource changes, ensuring smooth project delivery. Communication & Collaboration: Maintain open communication with internal teams, external stakeholders, customers, suppliers, and peers. Promote the value of business analysis activities and how they fit into the project delivery lifecycle. Key Skills & Experience Business Analysis Expertise: Proven experience with a range of business analysis tools and techniques, including requirements gathering, business process modeling, and business impact assessments. Stakeholder Management: Strong communication, influencing, and negotiation skills with the ability to engage effectively at senior management levels. Project Management Collaboration: Experience working within structured project management environments and collaborating with Project Managers and Solution Architects. Business Architecture Knowledge: Familiarity with Business Architecture methods to assess people, process, and technology impacts. Adaptability & Proactivity: Ability to work in a fast-paced, customer-focused environment, adapting to evolving priorities and business needs. Continuous Improvement: Experience in identifying and implementing process improvements to enhance business analysis practices.

About the job At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Responsibilities Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products. Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures,metrics, advocating for changes where needed for product development. Minimum qualifications: Master's degree in Statistics or Economics, a related field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference. Preferred qualifications: Experience translating analysis results into business recommendations. Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). Experience selecting tools to solve data analysis issues. Experience articulating business questions and using data to find a solution. Knowledge of structural econometric methods. Qualification : Master's degree in Statistics or Economics, a related field, or equivalent practical experience.

General Summary: Qualcomm is the industry leader in integrated chipsets that power advanced mobile devices. We are expanding our expertise in wireless technologies and advanced multimedia capabilities to continue delivering high-performance multimedia systems with low power consumption and competitive cost, while maintaining strong feature differentiation. Join Qualcomm India s Multimedia Systems Team and work at the cutting edge of performance modeling, system architecture, and evaluation of camera, video, and computer vision hardware IPs. This role offers the chance to collaborate on image signal processors (ISP), video codec hardware, and advanced algorithms for computer vision and image/video processing. Key Responsibilities: As part of the Systems and R&D team, your responsibilities may include the following: Design and maintain transaction-accurate/static models for multimedia IPs. Perform performance validation and debugging for pre- and post-silicon platforms. Conduct architecture analysis for system performance optimization. Define use-case flows for multimedia applications. Understand product features and assess their impact on system performance. Collaborate with the product marketing team to recommend feature support configurations for specific system setups. Minimum Qualifications: Bachelor s degree in Electrical Engineering, Computer Science, or a related field with 4+ years of relevant experience, or Master s degree with 3+ years of experience. Strong analytical and problem-solving skills with implementation experience. Solid understanding of SoC infrastructure (NoC, Memory Controller, DDR, QoS, MMU). Systems mindset with a focus on power and performance optimization. Experience in performance modeling/verification and debugging system performance issues. Proficiency in C, SystemC, and familiarity with UNIX/Win/Linux computing platforms. Preferred Qualifications: Background in system architecture, hardware IP micro-architecture, or embedded software/firmware. Experience in image/video signal processing. Knowledge of image sensor technology and codec standards. Educational Requirements: Required: Bachelor s degree in Computer Science or Electrical & Computer Engineering. Preferred: Master s degree in a related field. Qualification : Bachelors in Computer science or Electrica