Data Science Positions FOR Freshers Jobs in Gurgaon

Job Title: Software Support Executive Location: Gurugram Employment Type: Full-Time Experience Required: Fresher Salary: 1.92 LPA Position Overview: We are looking for a motivated and detail-oriented Software Support Executive to join our team in Gurugram. This is an excellent opportunity for fresh graduates who are eager to begin their career in IT support and customer service. Key Responsibilities: Provide first-level technical support to users for software-related queries Manage and resolve support tickets in a timely manner Troubleshoot and analyze issues related to software functionality and performance Escalate complex issues to the development or technical teams when necessary Document support interactions and solutions for future reference Communicate effectively with users to ensure clear understanding and resolution Required Skills: Basic knowledge of SQL for querying and troubleshooting Understanding of software ticketing systems and support workflows Good problem-solving and analytical skills Strong verbal and written communication Ability to learn quickly and work in a fast-paced environment Preferred: Internship or academic exposure to software support or SQL is a plus Familiarity with helpdesk tools like Jira, Freshdesk, or Zendesk

Position: Infrastructure Engineer - SQL, Oracle, Sybase Location: Gurgaon Department: IT / Infrastructure Employment Type: Full-Time Company: GSPANN Technologies Job Description: GSPANN is looking for a skilled Infrastructure Engineer with deep expertise in SQL, Oracle, and Sybase databases. The successful candidate will design, optimize, and maintain enterprise database environments ensuring high performance, robust security, and data integrity. Role and Responsibilities: Design, implement, and manage enterprise databases using MySQL, Oracle Database, and Sybase platforms. Optimize database performance by employing techniques such as indexing, partitioning, and query optimization. Troubleshoot and resolve query-related and performance issues to maintain smooth database operations. Implement database backup, recovery, and disaster recovery processes to safeguard data. Develop and maintain database security policies, managing user roles, permissions, and access controls. Collaborate with development teams to understand database requirements and deliver efficient solutions. Document database architectures, configurations, operational procedures, and technical protocols. Monitor database performance and scalability to ensure reliability and efficiency. Evaluate emerging database technologies and incorporate updates as needed. Provide guidance on process accountability, data monitoring, and exception handling to improve data quality. Work with cross-functional teams to optimize business processes through automation and simplification. Utilize data conversion tools and techniques to assist with data migration and transformation initiatives. Skills and Experience: Bachelor s or Master s degree in Computer Science, Information Technology, or a related discipline. Relevant certifications in Oracle, MySQL, or Sybase are preferred. 6 to 8 years of experience in infrastructure engineering with hands-on expertise in MySQL, Oracle, and Sybase databases. Strong SQL programming skills and deep understanding of database management system principles. Proven experience in query debugging, performance tuning, and troubleshooting. Excellent analytical, problem-solving, and communication skills. Familiarity with data migration and transformation processes and tools. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related discipline.

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).

Prompt Engineer (Software Engineer) Analyst Location: Gurgaon, India (On-site) Function: Content Engineering Experience: 0-1 years About GlobalLogic GlobalLogic, a Hitachi Group Company, is a leading digital engineering partner to some of the world s largest and most innovative companies. Since 2000, we have driven the digital revolution, creating cutting-edge digital products and experiences that transform businesses and industries globally. At GlobalLogic, we prioritize a culture of caring, continuous learning, and balance, fostering an environment where creativity and innovation thrive. Role Overview As a Prompt Engineer, you will focus on designing, developing, and optimizing prompts for natural language understanding systems, especially conversational AI and chatbots. This role requires a strong foundation in Python, data science, and natural language processing, combined with hands-on experience in prompt engineering, deep learning models, and relevant AI frameworks. Key Responsibilities Design and develop effective prompts for conversational AI and NLU systems. Collaborate with engineers and data scientists to integrate and refine prompts. Analyze user behavior and model outputs to enhance prompt quality and response accuracy. Optimize algorithms to improve prompt generation efficiency and effectiveness. Continuously update knowledge on NLP advancements and apply innovative techniques. Test and evaluate prompts for quality, relevance, and user experience improvement. Work cross-functionally to ensure seamless integration of prompts into products. Identify and resolve prompt-related challenges to boost conversational AI performance. Qualifications Bachelor s degree in Artificial Intelligence, Machine Learning, or related field (B.Tech freshers welcome). Strong programming skills in Python and experience with databases and data science methodologies. Proven knowledge of NLP, prompt engineering, and conversational AI or chatbot systems. Familiarity with deep learning concepts including transformers, GANs, VAEs, and large language models (LLMs). Proficiency with AI frameworks such as TensorFlow, PyTorch, and spaCy. Ready to work on-site with rotational shifts (5 working days, 2 weekly offs). Immediate joining preferred. Inclusive, caring culture fostering acceptance and collaboration. Robust learning and development opportunities to accelerate your career growth. Meaningful work on innovative projects shaping the future of AI and digital experiences. Work-life balance with flexible arrangements and supportive policies. A high-trust, ethical organization valuing integrity and transparency. Qualification : Bachelors degree in Artificial Intelligence, Machine Learning, or related field

Job Title: Computer Vision Researcher (3D) AI & Deep Learning | Spyne (Gurgaon) Location: Gurgaon, India | Work Mode: Full-Time, Onsite | Experience: 1 3 Years Keywords: Computer Vision Jobs India, Deep Learning Researcher, GAN Engineer, AI Research Jobs, ML Engineer, Generative AI Careers About Spyne Spyne is transforming the future of automotive retail with next-gen Generative AI. From AI-powered car visuals to a full-stack ecosystem for online vehicle commerce, we re enabling dealerships to create, price, and market inventory faster and smarter. Backed by $16M Series A funding from top VCs like Vertex Ventures and Accel Rapid expansion across the US and EU markets Achieved 5x revenue growth in 15 months aiming for another 3-4x in 2025 Leading the GenAI wave with AI-driven sourcing, pricing, CRM, and Agentic AI tools Role Overview: Computer Vision Engineer / Researcher We re hiring a passionate Computer Vision Engineer (3D) to join our Research & AI Product team. You ll work on state-of-the-art deep learning models especially GANs to develop and deploy scalable image processing and enhancement pipelines across automotive, e-commerce, food, and real estate domains. You ll play a pivotal role in building innovative AI-powered products that impact millions of images and videos, optimizing workflows for global businesses. Key Responsibilities Research & Experimentation Stay up to date with cutting-edge publications in AI, Computer Vision, and Deep Learning. Prototype innovative approaches from top-tier conferences (CVPR, NeurIPS, ICCV). AI Model Development & Deployment Train, fine-tune, and deploy models for image enhancement, segmentation, and classification using PyTorch/TensorFlow. Work on GAN Architectures Develop and optimize Generative Adversarial Networks (GANs) for image inpainting, background removal, super-resolution, and 3D scene generation. Scalable AI Infrastructure Collaborate with MLOps and Data Engineering teams to build robust AI pipelines on cloud platforms (AWS, GCP, Azure). Cross-Team Collaboration Work closely with Product Managers, Software Engineers, and Data Scientists to align AI capabilities with business goals. Mentorship & Guidance Contribute to a culture of innovation by mentoring junior researchers and participating in peer reviews. Requirements & Qualifications Education & Experience B.Tech / M.Tech in Computer Science, Artificial Intelligence, or related field (Tier 1 or Tier 2 institute preferred) 1 3 years of hands-on experience in Computer Vision, AI model development, and Deep Learning Technical Skills Deep Learning Frameworks: Strong expertise in PyTorch or TensorFlow Generative Models: Proven experience with GANs for real-world use cases Programming: Proficiency in Python, plus experience in C++ or C# Image Processing Libraries: OpenCV, PIL, NumPy, Scikit-image Cloud Platforms: Hands-on experience deploying models on AWS, GCP, or Azure Research Mindset: Ability to implement novel ideas from AI research papers into practical solutions Soft Skills & Work Ethic Strong analytical and problem-solving capabilities Excellent communication and collaboration skills Comfort in a high-performance, office-first environment (5 days/week) Familiarity with Agile, Git, Jira, and collaborative development tools At Spyne, we empower careers not just fill positions. People-First Culture: Supportive team, open communication, and trust Career Acceleration: Fast growth with performance-based promotions and ownership opportunities Health & Insurance Benefits: Comprehensive GMC, GPA, GTLI coverage for employees and families Continuous Learning: Access to LinkedIn Learning, in-house mentorship, and AI research projects Work from Office Advantage: Real-time innovation, mentorship, and collaboration at our Gurugram HQ Competitive Salary + Equity: High-impact role with potential for stock options If you're excited to work on groundbreaking AI + 3D computer vision products, thrive in a startup environment, and want to shape the future of AI-powered automotive retail, we want to hear from you. Apply now and be part of Spyne s journey as we redefine how the world sees and sells cars! Qualification : B.Tech / M.Tech in Computer Science, Artificial Intelligence, or related field (Tier 1 or Tier 2 institute preferred)

Job Title: Product Manager (LLMs & AI) Location: Gurgaon, Haryana Experience: 3-7 years Department: Product Management Employment Type: Full-Time About Spyne At Spyne, we are redefining how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea using AI-powered visuals to help dealers sell online faster has grown into a full-fledged AI-first automotive retail ecosystem. Backed by $16M in Series A funding from Vertex Ventures, Accel, and other top investors, we are scaling rapidly: Expanded across US & EU markets. Launched industry-first AI-powered Image & 360 solutions. Achieved 5X revenue growth in 15 months, with a goal for 3-4X growth this year. We are now rolling out an end-to-end GenAI Automotive Retail Suite and expanding into the US market to bring our AI-driven products to 3,000-4,000 dealers. What We Are Looking For We are looking for an experienced Product Manager to lead the development of Large Language Model (LLM)-powered applications and AI agents. This role will focus on harnessing the power of LLMs (e.g., OpenAI s GPT, Claude, or similar models) to create advanced, context-aware conversational agents and automation systems. As a Product Manager (LLMs & AI), you will work on defining and delivering AI solutions that transform the user experience, streamline processes, and unlock new business opportunities for Automotive dealers and buyers. This is a critical role in shaping Spyne s product strategy, translating user needs into AI-driven solutions, and collaborating with cross-functional teams to deliver innovative, AI-powered products. Product Strategy & Vision: Define and execute the roadmap for LLM-powered applications and AI agents, aligning with market trends and user needs. AI Innovation: Explore cutting-edge applications like chatbots, decision-support systems, and automation tools. Research & Experimentation: Collaborate with engineers and data scientists to fine-tune and deploy LLMs for real-world use cases. AI Advancements: Stay updated on emerging capabilities like multi-turn dialogue, in-context learning, and fine-tuning techniques. AI Agent Development: Build context-aware AI agents that integrate seamlessly into user workflows. Automation Solutions: Develop AI-driven tools for automating tasks like email responses, scheduling, and data extraction. User Experience & Adoption: Convert user pain points into intuitive AI-driven solutions with explainable outputs. Seamless AI-Human Interaction: Ensure smooth AI adoption by refining user interfaces and interactions. Cross-Functional Collaboration: Work closely with Engineering, Data Science, and Design teams to prototype and scale LLM-based features. AI Market Positioning: Collaborate with Sales and Customer Success teams to position AI capabilities as a key differentiator. Performance Metrics: Define and track KPIs such as accuracy, response time, and user engagement. Continuous Optimization: Enhance AI model efficiency and user satisfaction through iterative improvements. What You Must Have 1 3 years of product management experience in AI, SaaS, or data-driven products. Proven experience building or scaling LLM-powered applications (e.g., GPT, Claude). Strong familiarity with fine-tuning, prompt engineering, context management, and model evaluation. Ability to communicate AI concepts to non-technical stakeholders. Hands-on experience with Figma, Jira, and LLM APIs (OpenAI, Anthropic, Hugging Face). Data-driven mindset with a strong grasp of AI product metrics. Thrive in fast-paced, ambiguous environments. Strong Culture: A supportive and collaborative work environment that encourages innovation. Transparency & Trust: High levels of autonomy and trust in decision-making. Competitive Salary & Equity: Stock options for top performers. Health Insurance: Comprehensive coverage for employees and their dependents, including GMC, GPA, and GTLI coverage. Dynamic Growth Environment: Join a fast-paced, high-growth setting that will accelerate your professional development. Shape the Future of AI-Powered Automotive Retail If you're passionate about AI and want to play a key role in transforming the automotive retail experience, join Spyne and help us define the future of AI-powered automotive retail!

Job Title: Senior Product Manager SaaS & Logistics Tech | Gurgaon, Haryana Location: Gurgaon, Haryana, India Job Type: Full-time Department: Product Management Industry: SaaS | Logistics & Supply Chain Technology Company: Shipsy About Shipsy Shipsy is a fast-growing global SaaS company transforming logistics and supply chain operations through intelligent automation and end-to-end visibility. Our platform enables enterprises to streamline freight and delivery management, optimize costs, and enhance customer experience all while driving sustainable logistics practices. We serve over 190+ global businesses, facilitating the movement of 2+ million shipments daily, and are rapidly expanding across the Middle East, Southeast Asia, and Europe. With regional headquarters in Dubai and strong momentum in revenue, team growth, and customer base, we are poised for continued global scale. Backed by top investors like Sequoia Capital and InfoEdge, our team consists of experts from institutions like MIT Media Lab, IITs, and top-tier companies like Microsoft, Samsung Research, and Morgan Stanley. Role Overview: Senior Product Manager As a Senior Product Manager, you will play a strategic role in shaping the roadmap and evolution of Shipsy's platform. You ll work cross-functionally with Engineering, Sales, Customer Success, and Design to define product vision, drive feature development, and deliver scalable logistics solutions that generate measurable impact for our enterprise clients. This is a high-impact position that requires a mix of business acumen, customer empathy, and a strong product mindset in the SaaS and supply chain domain. Key Responsibilities Own end-to-end product lifecycle from ideation to launch to iteration for core features of the Shipsy platform. Collaborate with customers and internal stakeholders to gather insights and define user stories, requirements, and acceptance criteria. Deeply understand customer workflows and business needs to ensure product solutions align with measurable outcomes. Drive platform adoption by designing intuitive, value-driven experiences that address pain points and unlock efficiencies. Prioritize features using data, customer feedback, and market trends to inform product strategy and decision-making. Work closely with Engineering to ensure timely and high-quality delivery of product features. Identify and track key performance metrics for product performance, adoption, and ROI. Serve as a customer advocate, proactively capturing feedback and channeling it into continuous product improvements. Requirements & Qualifications 4+ years of Product Management experience in SaaS, logistics tech, or enterprise software environments. Strong understanding of B2B workflows, supply chain processes, or logistics platforms. Exceptional analytical and problem-solving skills; ability to translate complex business needs into clear, executable solutions. Excellent communication and stakeholder management skills. A strong sense of ownership, curiosity, and passion for building scalable, customer-centric products. Bachelor s degree in Engineering, Computer Science, or Business; MBA is a plus. What Makes This Role Exciting Be a part of a high-growth company driving transformation in a trillion-dollar industry. Work alongside top-tier talent in a collaborative, agile, and innovation-focused environment. Influence the roadmap of a platform used by global leaders like Reliance, UPS, Zepto, DTDC, and Burger King. Access professional development programs, international mobility options, and unique employee perks such as a scholarship program. Join Us at Shipsy If you are passionate about solving real-world problems, influencing product direction, and working in a fast-paced, purpose-driven SaaS company, then Shipsy is the right place for you.

Principal Engineer - Backend (Java) Location: Gurugram, Haryana, India Employment Type: Full-time About ixigo ixigo is a leading technology company in the Indian travel space, enabling smarter travel decisions for millions of users through AI, machine learning, and data science innovations. Founded in 2007 by Aloke Bajpai and Rajnish Kumar, ixigo powers platforms like ixigo, ConfirmTkt, and AbhiBus, helping travelers plan, book, and manage their journeys across rail, air, bus, hotels, and more. As of 2022, ixigo was named among the Top 10 Most Downloaded Travel Apps worldwide, according to data.ai. Headquartered in Gurugram, ixigo also has offices in Bangalore and Hyderabad. Job Description As a Principal Engineer at ixigo, you will play a critical role in the design, planning, development, and deployment of our software applications. You will be responsible for building highly scalable, multi-tier, and distributed server software applications, ensuring their performance, stability, and overall quality. This role requires you to lead, own, and drive projects from concept to deployment, working closely with product managers, designers, and quality teams. If you're a hands-on engineer with a passion for building impactful products and solving complex problems, this is the role for you! Key Responsibilities Product Development: Design, develop, and architect features for existing applications, ensuring scalability, performance, and reliability. Own product modules end-to-end, ensuring that features are delivered on time, with high quality and performance. System Architecture & Performance: Design and implement highly scalable, multi-tier, distributed server applications with a focus on performance, scalability, and availability. Identify, troubleshoot, and resolve issues related to performance, stability, and memory management, using tools like Instruments and Shark. Collaboration: Collaborate with cross-functional teams including Tech, Design, and Quality to build and launch products that meet business objectives. Work directly with developers and product managers to conceptualize, build, test, and release new features. Continuous Improvement: Continuously evaluate new technologies and frameworks to maximize development efficiency and performance. Ensure that best practices are followed across the development life cycle, from design to release and maintenance. Qualifications Required Skills Experience: 5-8 years of professional experience in backend development. Expertise in Java/J2EE technologies. Technical Proficiency: Strong understanding of Java/J2EE, design patterns, and advanced data structures. Proficient in working with relational databases like MySQL or Postgres. Experience with MongoDB, Web services, and REST APIs. Performance & Scalability: Solid experience in designing systems for performance, scalability, and availability. Skilled in memory management, multithreaded programming, and performance optimization using tools like Instruments and Shark. Additional Skills (Good to Have): Familiarity with Python, NodeJS, Redis, and ElasticSearch is a plus. Experience with e-business or e-commerce applications is highly desirable. Experience working in the travel industry or with internet companies will be an advantage. Education: Undergraduate degree in Computer Science, Engineering, or related fields (preferably from IITs/Top RECs). Behavioral Traits Strong leadership skills with the ability to manage and mentor junior engineers. Ability to work effectively in a fast-paced, dynamic, and informal startup environment. High energy level, self-motivation, and a commitment to driving team goals. Excellent problem-solving and communication skills. Strong interpersonal skills and the ability to work in a collaborative team environment. Impactful Work: Lead critical product features that impact millions of travelers. Innovation Culture: Work in a dynamic environment that fosters innovation, creativity, and collaboration. Career Growth: Accelerate your career in a fast-growing tech company. Competitive Compensation: Attractive salary and benefits package. Work-Life Balance: A supportive and flexible work environment. Qualification : Undergraduate degree in Computer Science, Engineering, or related fields (preferably from IITs/Top RECs).

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!

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.

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.

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.

Position: Java Engineer - Studio Engineer Job Overview: At BlackRock, technology has always been at the core of what we do. Our technologists continue to shape the future of the industry through innovative solutions. As part of the Aladdin Data team, we focus on evolving our platform to deliver exponential scale, powering the future growth of Aladdin. The Studio Engineers at BlackRock build and design large scale data storage, computation, and distribution systems, working on next-generation technologies. About this Role: We are seeking Java engineers who enjoy innovating and tackling complex problems. You will be part of a multi-disciplinary squad, involved from the inception of projects, working on architecture, development, deployment, and maintenance of studio products and services. Engineers in this role will collaborate with product managers to deliver solutions that improve platform performance and scalability, all while maintaining a collaborative work environment and adhering to industry-leading standards. Responsibilities: Collaborate with program and product managers to expand product offerings based on business demands. Design, develop, deploy, and maintain studio products and services, while iterating on design processes. Drive user engagement and adoption while working towards improving platform performance and scalability. Work closely with various teams to ensure effective deployment and maintenance of the products. Provide production support for applications when necessary and troubleshoot complex performance issues. Create user documentation to maintain development and operations continuity. Contribute to the upkeep of UX and design standards in the studio. Required Qualifications: BA/BS in Computer Science or equivalent practical experience. 10+ years experience delivering medium to large scale enterprise solutions. Experience architecting and building scalable distributed applications. Proficiency in Java, Python, SQL, and Linux. Experience with Event Driven Architecture, Microservices, and Cloud technologies. Familiarity with object-oriented design patterns. Experience with dev ops tools like Git, Maven, Jenkins, Gitlab CI, Azure DevOps. Experience with Agile development methodologies and tools. Ability to troubleshoot and fix performance issues across codebases and database queries. Excellent written and verbal communication skills. Passion for learning and implementing new technologies in a fast-paced environment. Preferred Skills: Experience with Perl and C++. Familiarity with UI/UX stack. Experience supporting large-scale, complex analytics requirements. 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 promotes collaboration and flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may have different requirements based on their roles and responsibilities. About BlackRock: At BlackRock, our mission is to help more people experience financial well-being. We are dedicated to investing in our employees and fostering an environment where colleagues feel welcomed, valued, and supported. Our employees contribute to global growth, helping strengthen businesses, finance infrastructure, and facilitate innovation. We offer development opportunities and benefits to help our employees thrive. Qualification : BA/BS in Computer Science or equivalent practical experience

Position: Advanced Data Analytics - Single Security (Credit Focus) Job Overview: At BlackRock, technology and innovation are essential to delivering world-class financial solutions. The Advanced Data Analytics team within Aladdin Financial Engineering (AFE) is focused on developing the next generation of data content and governance solutions for single security analysis, specifically in the Credit space. This role offers the opportunity to work with cutting-edge technologies to deliver impactful analytics in Mortgage, Structured & Credit Products. About Aladdin Financial Engineering (AFE): Join a team of over 300 modelers and technologists in AFE within BlackRock Solutions, responsible for research and development of Aladdin s financial models. AFE spans a wide range of financial products and provides investment insights to portfolio and risk management professionals. The models developed and supported by AFE cover equities, fixed income, commodities, derivatives, and private markets. Role Description: The Advanced Data Analytics team within AFE Single Security is responsible for building and maintaining data content in the Credit space. The team uses emerging technologies and statistical/mathematical methodologies to create predictive models and classification solutions. As a member of this team, you will focus on: Building and enhancing Credit Derived Data Content. Ensuring robust Model & Data Governance practices. Developing and maintaining Credit Model & Analytics solutions. Experience/Qualifications/Skills: Experience with Scala programming. Knowledge of ETL, data curation, and analytical jobs using distributed computing frameworks like Spark. Experience working with large enterprise databases such as Snowflake, Cassandra, and cloud-managed services like Dataproc and Databricks. Familiarity with financial instruments such as Corporate Bonds and Derivatives. Knowledge of regression methodologies and building tools for Data Governance. Python knowledge is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Math, Economics, or a related field. 3-6 years of relevant experience in data analytics and financial products. 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 enables a culture of 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. Certain business groups may require more time in the office due to their roles. 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. By investing in our employees, we create a supportive environment where everyone can thrive professionally and personally, with ample opportunities for growth and development. Qualification : Bachelors/master's in computer science with a majorin Math, Econ, or related field

Position: Alpha Gen Product Engineer Job Overview: At BlackRock, we are seeking Software Engineers who thrive in innovative environments and enjoy solving complex challenges. This is an opportunity to work with cutting-edge technology and impact the financial markets through our Aladdin investment operating system, which powers decision-making for thousands of users worldwide. The Alpha Gen Technology group (AGT) is focused on enabling market-leading performance for BlackRock's investment teams. Join a team of innovators to work on next-generation technology in the quantitative and investment space. About Aladdin and Aladdin Engineering: Aladdin is BlackRock s investment operating system, used by financial institutions worldwide. It integrates sophisticated risk analytics, portfolio management, trading, and operations tools into one platform. The Aladdin Engineering group develops and maintains this platform, building tools that manage trillions in assets and support millions of financial instruments. Your Role and Impact: As an Alpha Product Engineer in the Alpha Gen Platform team, you will develop a cloud-first platform used for both quantitative research and production systems. You will be involved in the full lifecycle of the platform, from design and architecture to development, implementation, production support, and maintenance. Your Responsibilities: Build a groundbreaking, high-quality Alpha Gen platform to meet the data and quantitative needs of research and production. Prototype new alpha-enabling technology. Migrate large amounts of critical data to cloud-native data stores like Snowflake and Azure Blob Storage. Understand and address scale challenges in data access and persistence in ingestion pipelines. Work with modern data lakes, structured file formats, containers, and orchestration ecosystems. Partner with other engineering teams at BlackRock to integrate with Aladdin. Qualifications and Skills: 8+ years of proven experience in software engineering. Excellent coding skills in Python; knowledge of Scala or Java is a plus. Experience with distributed technologies like Spark, Dask, or Kubernetes. Desire to build expertise in cloud-native technologies and applications deployed to cloud infrastructure. Familiarity with agile practices, test automation, pipelines, release management, and deployment strategies. Good understanding of the modern data ecosystem Snowflake, Apache Iceberg, Parquet formats, object stores (S3, Azure Blob Storage), and orchestration systems (Airflow, Prefect). A curiosity and passion to learn new technologies. Strong interpersonal skills to work effectively in a collaborative team environment. A deep understanding of the modern data and quantitative ecosystem. How to build a platform that enables alpha generation at scale. Experience with Aladdin the investment platform used to manage over $15 trillion in global assets. How to apply enterprise integration patterns and data science technology to enable alpha generation. 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 supports collaboration while offering flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may require more time in the office. About BlackRock: BlackRock is dedicated to helping people experience financial well-being. Our clients rely on us to support their financial goals, including saving for retirement, funding education, and growing their businesses. We invest in our employees by fostering an environment where they feel welcomed, valued, and supported with networks, benefits, and development opportunities to thrive.

Position: Junior Technical Product Strategist - Cash Management Group About the Role: BlackRock is one of the world s leading asset management firms, offering a wide range of investment management, risk management, and advisory services. The Cash Management Group, part of the Global Cash Management team, manages Prime and Government Money Market and Ultra-Short Duration Mutual Funds and Separate Accounts, focusing on capital preservation, liquidity, and yield. The team uses a risk-controlled framework to deliver investment returns based on credit, interest rate trends, and relative value opportunities. Business Unit Overview: The Cachematrix Technical Product Strategy team is part of the Global Cash Management group and works with the Cachematrix Liquidity Management platform, a SaaS-based product that powers custom trading solutions for leading financial institutions worldwide. This platform provides seamless integration with core cash management systems or operates as a stand-alone system. Your Responsibilities: Analysis and Solution Definition: Collaborate with stakeholders to gather and document business requirements. Create and maintain Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), and Business Process Requirements (BPRs). Develop and execute test strategies for User Acceptance Testing (UAT) and provide feedback for improvements. Technical Recommendation and Testing: Identify, document, report, and track defects and issues. Manage issue reporting and triage, providing timely escalation as needed. Project Execution and Support: Offer business and platform support to ensure smooth platform operations. Oversee vendor data to maintain data integrity, verify accuracy, and ensure reconciliation. Set up and oversee client data extracts for seamless integrations. Build and maintain reports, including ad-hoc and automated reports, to support business needs. Communication: Deliver support and training demos to stakeholders and document operating models and handoff processes. Manage stakeholder communication between business and development teams. Preferred Experience: 1-3 years of experience as a Business Analyst or UAT Tester. Bachelor s degree in Business Administration, Information Technology, or a related field. Strong understanding of the software development lifecycle (SDLC) and testing methodologies. Excellent analytical and problem-solving skills. Familiarity with Agile & Scrum methodologies. Industry knowledge of financial services and processes. Experience with JIRA, Confluence, Miro, Visio, Aha or similar tools. Proficiency in SQL for querying and data analysis. Experience with data visualization and business intelligence tools such as Power BI, Tableau, Adobe Analytics, or similar platforms is preferred. Familiarity with programming languages like Python is a plus. Qualification : Bachelors degree in Business Administration, Information Technology, or a related field.

Description Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 125 years. We embrace research and science -- bringing creative ideas, products and services to advance the health and well-being of people. Every day, our more than 130,000 employees across the world are blending heart, science and ingenuity to profoundly change the trajectory of health for humanity. Janssen India, the pharmaceutical division of Johnson & Johnson India, is dedicated to addressing and solving some of the most important unmet medical needs of our time in India, in oncology, immunology, neuroscience and analgesia, dermatology, infectious diseases and metabolic diseases. Driven by a strong dedication to the health and well-being of patients, Janssen India brings innovative products, services and solutions to people throughout the world. Janssen recognizes the impact of serious conditions on people s lives, and aims to empower people through disease awareness, education and access to quality care in six therapeutic areas. Job Description: Johnson & Johnson is recruiting for Zonal Medical Advisor Immunology, Medical Affairs located in Delhi/ Bengaluru/ Hyderabad, India. The position reports to the TA Lead Immunology, Johnson & Johnson Innovative Medicine, India. Position overview: Be a therapeutic area scientific expert where you will be scientific face of the company engaging in interactions with Key Opinion Leaders(KOL) discussing treatment trends, clinical trial data of our molecules and seeking insights that support the medical strategy. Key Responsibilities: Primary scientific face of the organization to KOL s for Immunology therapy area, responsible for: Identification, mapping and profiling of KOL s of the given geography and therapy area on an ongoing basis Engagement of identified KOL s through medical affairs initiatives in alignment with the overall franchise plan Represent the TA for medical & scientific affairs on all relevant cross functional teams and internal and external initiatives. Gathering customer insights and conveying them back to the franchise team Receiving and processing scientific information request received from Healthcare Professionals(HCP) Scientific resource for the sales team of the given therapy area responsible for regular training and flow of latest medical developments in the given field This is a highly collaborative role that requires excellent communication and influencing skills with all internal stakeholders to develop and implement medical strategy, to shape the external scientific landscape that can enable the fastest access to new products/indications for our patients, medical staff and the greater community. The position will require 70-80% travel for interaction with customers and various stakeholders. Qualifications Medical graduate (MD/ MBBS/ BDS /MDS) or Pharmaceutical university Degree ( PharmD or PhD) Minimum of 0-3 years experience in pharmaceutical/healthcare industry Good understanding of medical affairs function Understanding of local regulatory policy and industry's code of practice related to drug registration, pharmaceutical promotion and clinical research. Johnson & Johnson offers an unusual experience to professionals looking for an opportunity to work with hardworking people who share your real passion for caring in an environment that empowers you to drive your own career. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Qualification : Medical graduate (MD/ MBBS/ BDS /MDS) or Pharmaceutical university Degree ( PharmD or PhD)

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field

Job Title: Controller - Grains Trading, Marketing & Distribution (India) Company: Louis Dreyfus Company Company Overview: Louis Dreyfus Company (LDC) is a leading global merchant and processor of agricultural goods, actively engaged across the entire value chain from farm to fork. With operations in over 100 countries and employing approximately 18,000 people globally, LDC leverages its extensive network to serve customers and consumers worldwide. The company is structured as a matrix organization and operates in diverse business lines, contributing significantly to the agricultural and food processing industries. Job Description: As a Controller for the India Grains Trading, Marketing & Distribution division, you will be responsible for independently handling the financial controlling processes for the India operations. Your role will involve managing annual budgeting, improving efficiency through automation, coordinating with the commercial and execution teams, and ensuring accurate position and P&L reporting. You will be expected to maintain a strong analytical focus and reduce the transactional nature of the role, aiming for continuous improvement and data-driven decision-making. Key Responsibilities: Annual Budgeting & Financial Planning: Lead the annual budgeting process, including data compilation, analysis, and reporting in both front-end and back-end systems. Work closely with regional and central teams to ensure timely submission of the budget for approval. Position & P&L Management: Coordinate with the commercial and execution teams to manage and improve position and P&L reporting. Ensure all reporting is accurate, timely, and aligned with company policies. Cost Monitoring & Service Contracts: Review and monitor all types of costs and service contracts on an ongoing basis. Work towards improving cost efficiencies and ensuring that expenses are controlled in line with company guidelines. Currency Exposure Management: Monitor and report currency exposure, ensuring it is controlled as per company policies and practices. Manage daily FX exposure calculations and reconcile commercial trades with currency hedges in coordination with the finance platform. MIS & Analytical Tools Development: Develop and maintain Management Information Systems (MIS) and analytical tools to provide accurate, real-time, and user-friendly information for decision-making. Provide regular updates to management with a focus on volume, margins, headcount, G&A costs, and other critical metrics. Position Exposure & Trade Management: Manage platform position exposure, including data extraction, analysis, and reporting. Reconcile daily position movements with traders' trade tickets and trade recap files, ensuring accurate alignment of positions. Collaboration with Sales & Marketing Teams: Coordinate with marketing and sales teams to align on volumes, margins, and other financial aspects. Support the development of budget plans and forecasts as per regional and central guidelines. Reporting & Compliance: Ensure timely and accurate reporting of budget vs. actuals, monthly MIS, and weekly credit risk reports. Provide detailed justification for any discrepancies or movements in financial positions. Process Improvement & Automation: Drive improvements in the financial controlling process by identifying opportunities for automation and deep dives into existing workflows. Reduce transactional work and focus on enhancing the analytical aspects of the role. Qualifications & Skills: Experience: 6-8 years of experience in financial controlling, with a focus on commodities, trading, or agricultural products. Education: MBA in Finance or Chartered Accountant (CA). Industry Experience: Preference for candidates with experience in the FMCG or food processing industries. Key Skills: Strong financial analytical skills and experience with position management, cost control, and budgeting. Proficiency in financial reporting tools and systems. Knowledge of currency exposure management and FX hedging. Ability to collaborate across teams (commercial, marketing, sales) and manage stakeholder relationships effectively. Communication Skills: Excellent written and verbal communication skills in English. Ability to relate well to people at all levels of the organization and effectively manage cross-functional teams. Proficiency in Systems: Experience with financial software and tools used for managing positions, trade tickets, and MIS. Strong Excel skills for data analysis and reporting. Additional Information: Key Attributes: Proactive and driven, with a focus on continuous improvement. Strong attention to detail and ability to work under pressure. Capable of working with global teams and navigating complex, matrix-style organizations. Qualification : MBA Finance or CA

Job Summary: Associate, Technical Application Support Location: Gurgaon, India Department: Operations Group Division: S&P Global Market Intelligence Role Overview: As an Associate in Technical Application Support, you will be a key technical consultant supporting S&P Global s Channels Data Delivery solutions. You will work closely with global product specialists, sales teams, and external customers to deliver high-quality technical assistance around product deployment, configuration, performance tuning, and troubleshooting. Your expertise will bridge customer environments and our data delivery products, ensuring smooth integration into mission-critical workflows. Key Responsibilities: Provide deep technical support for Channels Data Delivery products, including Xpressfeed Loader deployment and configuration. Assist with sizing, deployment, troubleshooting, and performance tuning in client environments. Partner with pre- and post-sales teams to support client needs and opportunities. Drive innovation by proposing automation and efficiency improvements in support processes. Monitor evolving product features, participate in strategy discussions, and contribute to product testing. Act as the voice of the customer by relaying feedback for product enhancements. Support client implementations, upgrades, migrations, and ongoing technical operations. Who You Are: Education: Degree in Computer Science, Information Systems, or equivalent experience. Experience & Skills: Strong troubleshooting and problem-solving skills with attention to detail. Hands-on experience with software deployments, Windows/Linux OS, and SQL querying. Familiarity with cloud environments (AWS, Azure, or Google Cloud), especially AWS EC2 and RDS/Aurora. Comfortable leading client-facing technical discussions. Preferred: Knowledge of finance, capital markets, and database administration (SQL Server, Oracle, PostgreSQL). Experience with FTP, proxies, network and security protocols, and data integration techniques. Familiarity with Agile/SCRUM and product development lifecycle. What You ll Gain: A dynamic role interacting directly with clients and global teams on enterprise-level financial data products. Exposure to the evolving landscape of financial markets and technology-driven data solutions. Opportunities for career growth through continuous learning, skill development, and cross-functional collaboration. Access to competitive benefits supporting your health, well-being, and financial future. About S&P Global Market Intelligence: S&P Global Market Intelligence provides trusted data, insights, and technology solutions that empower customers to make informed business decisions. Our team is dedicated to excellence, integrity, and innovation in delivering essential intelligence to global markets. Qualification : Degree in Computer Science, Information Systems, or equivalent experience.