Data Modeling Techniques Jobs in Bengaluru

Senior Backend Engineer Market Making Location: Bangalore Experience: Senior-level Education: Advanced degree in Computer Science, Mathematics, or a related field About FalconX FalconX is a pioneering team of operators, investors, and builders transforming institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX simplifies the fragmented digital asset market. Our platform provides seamless access, liquidity, and trading tools for institutional clients, enabling strategies from start to scale. Team Overview The Quant Team at FalconX is divided into three verticals: Services: Focused on complex pricing, risk management methodologies, and execution for our OTC desks. Options Market Making (MM): Provides market-making for derivatives, either as a service or as business owners. D1 Team: Quantitative traders providing market-making services while managing discretionary risk for linear products. Role Overview As a Senior Backend Engineer on the Market Making team, you will develop and enhance backend systems that provide critical tools, insights, and infrastructure for pricing, risk management, and trading operations. You will work closely with traders, quants, product managers, and trade operations teams to deliver robust, scalable, and high-performance applications. Key Responsibilities Build and maintain backend infrastructure to support pricing and risk management methodologies for complex and new products. Develop fundamental models in support of the quant team s three verticals. Collaborate with cross-functional teams including design, product management, traders, and quants to deliver scalable and efficient solutions. Solve technically challenging problems of high scope and complexity. Contribute to innovative products in the crypto derivatives space, such as correlation exotics and missing data volatility pricing. Ensure high-quality, maintainable code with strong testing, monitoring, and documentation practices. Required Qualifications Advanced degree in Computer Science, Mathematics, or related field. Proficiency in Python, with experience in a low-level language (C/C++/Rust) preferred. Familiarity with distributed systems and scalable architectures. Understanding of derivative products and risk management frameworks. Strong grasp of data structures, algorithms, and design patterns. Excellent problem-solving skills, with a detail-oriented and collaborative mindset. Strong communication skills and ability to work in a fast-moving, agile environment. Comfortable contributing to early-stage product development in a startup setting. Bonus / Preferred Qualifications Experience with exotic products and derivatives. Risk management and portfolio management experience. Knowledge of numerical methods, optimization, and modeling techniques. Familiarity with frontend frameworks such as React. Help make crypto assets a successful asset class for institutional investors. Provide critical tools and infrastructure that shape trading strategies and pricing models. Collaborate with top talent in trading, quant research, and technology. Work on some of the most innovative products in the crypto derivatives space. Qualification : Advanced degree in Computer Science, Mathematics, or a related field

Analytics Engineer Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, used by over 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to build an API-first world, simplifying every step of the API lifecycle and enabling teams to create better APIs, faster. Founded in Bengaluru, Postman is headquartered in San Francisco, with offices in Boston, New York, and Bengaluru. We are privately held, backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. The Opportunity We are seeking an Analytics Engineer to join our Data Team and help strengthen the foundation of our modern data stack. In this role, you will own critical transformation pipelines, design scalable data models, and ensure that our analytics environment is performant, reliable, and future-ready. You will operate with a high degree of independence, driving projects from design through production, while implementing best practices in dbt, semantic layers, medallion architecture, and lakehouse paradigms. Key Responsibilities Take ownership of large portions of our dbt project (3k+ models), ensuring scalability, maintainability, and adherence to best practices. Design and implement robust data models, including dimensional modeling, incremental strategies, and Slowly Changing Dimensions (SCDs). Establish and enforce dbt test coverage, automated quality checks, and CI/CD pipeline standards using GitHub Actions. Profile and optimize SQL queries and warehouse performance for efficiency and cost reduction. Build and refine our semantic layer, ensuring consistent business logic across Looker, Redash, and downstream tools. Collaborate with analysts and business partners to define metrics and deliver self-serve data assets. Document models, lineage, and transformation logic to make data discoverable and usable across the company. Contribute to shaping team standards and playbooks, collaborating with analysts on modeling and transformation best practices. Stay ahead of modern data stack innovations, including dbt metrics layer, universal semantic layers, data contracts, and observability. Enabling Self-Serve Analytics & AI Build transformations that empower business stakeholders and analysts to explore data confidently. Ensure metric definitions are consistent, discoverable, and reusable across BI tools. Prepare clean, structured, and accessible datasets for AI-driven initiatives like conversational analytics and anomaly detection. Partner with Data Science & ML teams to provide reliable pipelines that accelerate experimentation and AI/ML deployment. About You 3 5 years of experience in analytics engineering roles. Advanced SQL skills (query optimization, performance tuning). Strong proficiency in dbt Core: models, macros, snapshots, sources, and custom materializations. Solid background in data modeling techniques (Kimball, SCD handling, incremental pipelines). Practical experience with semantic layers and BI integration (LookML, dbt metrics, or equivalent). Familiarity with Medallion architecture and modern lakehouse approaches. Hands-on experience with Redshift; exposure to Databricks is a plus. Proficiency with GitHub and CI/CD pipelines for analytics code. Strong fundamentals in data quality, governance, and lineage tracking. Flexible schedule with a hybrid work model. Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend. Access to wellness programs, team-building events, and donation-matching initiatives. An inclusive, collaborative culture where everyone can thrive and grow. Our Values Curiosity: Explore and innovate fearlessly. Transparency: Communicate openly about successes and failures. Focus: Set clear goals aligned with a bold vision. Inclusion: Every voice matters. Excellence: Deliver the best products and experiences together.

Job Title: Lead Associate Software Engineering (Database Developer) Location: Bengaluru Type: Full-Time Level: Senior Database Developer About BetaNXT BetaNXT is shaping the future of connected wealth management infrastructure, delivering real-time data capabilities that improve advisor productivity, reduce operational costs, and enhance the investor experience. Leveraging the combined power of Beta, Maxit, and Mediant, our solutions tackle complex integration challenges and modernize platforms for scalability, agility, and growth. We help wealth management firms turn legacy platforms into differentiating assets. About the Role We are looking for a Senior Database Developer to join our Product Engineering team as a Lead Associate Software Engineering. In this role, you will play a critical part in designing, developing, and optimizing enterprise-grade database solutions to support our next-generation wealth management platform. This position is ideal for a detail-oriented and performance-focused database professional who thrives in a collaborative Agile environment and is passionate about building scalable, reliable data systems. Key Responsibilities Design, develop, and maintain complex SQL queries, stored procedures, triggers, and database scripts. Analyze and optimize database performance, ensuring scalability and efficiency. Develop and maintain SSRS reports, support ETL processes, and collaborate on SSIS packages. Work closely with application developers to ensure seamless database integration and data flow. Perform in-depth data analysis to support business and product requirements. Partner with QA teams to validate data integrity and support testing cycles. Conduct unit testing and developer-level validation to ensure quality before release. Participate in daily Scrum meetings and Agile ceremonies to coordinate development efforts. Troubleshoot and resolve complex technical issues related to data and performance. Document all development work to support maintainability and knowledge sharing. Required Qualifications & Experience Experience: 7+ years of hands-on experience in SQL database development in enterprise environments. Technical Skills: Advanced SQL development skills, including writing and optimizing complex queries and stored procedures. Proficiency in T-SQL (preferred), with acceptable expertise in PL/SQL or equivalent SQL dialects. Experience with SSRS (SQL Server Reporting Services), SSIS, and ETL processes. Strong data modeling, data analysis, and database design capabilities. Hands-on experience in performance tuning and query optimization techniques. Working knowledge of AWS services such as S3, SSM, and DynamoDB is a plus. Soft Skills & Collaboration Strong problem-solving and analytical thinking skills. Excellent verbal and written communication skills. Ability to work collaboratively across cross-functional Agile teams. Highly organized, detail-oriented, and self-motivated. Contribute to a platform backed by industry innovation and 11 technology patents. Help shape the future of real-time data and wealth management systems at scale. Collaborate with a high-impact, global engineering team in a dynamic, fast-paced environment. Thrive in a company culture that values growth, curiosity, and collaboration.

Job Title: Senior Data Business Partner Location: Bengaluru Department: Data & Analytics Experience: Senior-level Company: OSB India (Offshore subsidiary of OSB Group) About OSB India: OSB India (OSBI) is a wholly owned offshore subsidiary of OSB Group, a leading UK financial services provider. Established in 2004, OSBI delivers exceptional customer support and operational services to the Group s UK brands. Known for driving process excellence, innovation, and functional efficiencies, OSBI is a key strategic arm supporting the Group s long-term goals. Role Overview: We are looking for a Senior Data Business Partner to bridge the gap between business and data analytics. In this role, you will collaborate with business leaders to identify analytical needs, design data-driven solutions, and drive adoption of data across the organization. This is a high-impact role requiring strong analytical acumen, stakeholder management skills, and a passion for delivering insights that support strategic decision-making. Key Responsibilities: Build trusted relationships with business stakeholders to understand their data needs and priorities. Collaborate cross-functionally to translate complex business challenges into data solutions. Lead in-depth analysis using market-standard algorithms and modelling techniques. Ensure adherence to Data Governance standards, policies, and controls. Deliver timely, accurate, and well-documented data content and insights. Advise on analytics delivery planning across projects and business functions. Enable self-service analytics by training business users on available tools and platforms. Advocate and implement innovations in AI, Machine Learning, and data analytics. Partner with Data Engineering and Architecture teams, ensuring adherence to technical standards and best practices. Present findings and strategic insights to senior management and governance forums. Mentor team members on analytical approaches and best practices. Promote a culture of continuous improvement, innovation, and high-quality data usage. Champion the use of central data repositories, relational models, and the Data Warehouse to deliver consistent and reliable BI outputs. Identify risks related to data or projects and escalate when necessary. Support internal training efforts to improve data literacy across departments. Ensure compliance with Risk Management and Data Governance policies. Stay current on industry trends, tools, and technologies to enhance analytics capability. Candidate Profile: Qualifications: Bachelor s or Master s degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field. Certifications in data analytics, data science, or relevant tools/platforms are a plus. Experience: 6+ years in a business-facing data analytics role, ideally within financial services or technology. Strong experience in data analysis, modelling, and data storytelling. Proven ability to work with senior business stakeholders and executive teams. Experience in mentoring and leading analytics professionals. Demonstrated expertise in translating business needs into actionable insights. Technical Skills: Proficiency in tools such as Power BI, Tableau, SQL, Python/R, or Excel for data analysis. Familiarity with data warehousing, ETL processes, and relational databases. Understanding of data governance, risk, and compliance frameworks. Exposure to AI/ML applications in business contexts is a strong advantage. Behavioral Competencies: Excellent communication and presentation skills. Strong business acumen with the ability to drive value from data. Strategic thinking with a problem-solving mindset. Collaborative, adaptable, and proactive. At OSBI, we believe in empowering individuals to grow both personally and professionally. Whether you re early in your career or a seasoned expert, we provide an inclusive and supportive environment to help you thrive. Be a part of a connected organization where your contributions make a difference and your career is a journey, not a destination. Qualification : Bachelors or Masters degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field

Product Manager Data Warehouse & Business Intelligence Location: Bangalore Company: Mahindra First Choice About Mahindra First Choice Mahindra First Choice is a pioneer in India s multi-brand used car segment. With a strong focus on innovation, data-driven decision-making, and cutting-edge technology, we are transforming the automotive ecosystem and delivering seamless customer experiences. Our commitment to excellence fuels our drive to create scalable, impactful solutions across the value chain. Role Overview We are looking for a strategic and technically strong Product Manager to lead our Data Warehouse and Business Intelligence (BI) initiatives. Based in Bangalore, this role will own the vision, development, and optimization of enterprise-wide data products. You will play a critical role in enabling data-led decisions, working closely with engineering, analytics, and business teams to drive measurable outcomes. Key Responsibilities 1. Product Strategy & Roadmap Define the vision, strategy, and long-term roadmap for Data Warehouse and BI products. Align product goals with overall business strategy through collaboration with senior leadership. Stay abreast of emerging technologies and industry trends to drive innovation in data architecture and analytics. 2. Development & Execution Partner with engineering, data science, and analytics teams to build scalable, high-performance data platforms. Prioritize product features and enhancements based on impact, feasibility, and business value. Lead cross-functional teams to ensure timely and efficient delivery of data solutions. 3. Business Intelligence & Analytics Oversee the development of interactive BI dashboards, reports, and self-service tools to empower business users. Collaborate with business stakeholders to identify critical metrics and create meaningful data visualizations. Champion data quality, consistency, governance, and accessibility across all platforms. 4. Stakeholder Management Serve as the single point of contact for data needs across Sales, Marketing, Operations, Finance, and other departments. Communicate roadmaps, progress updates, and outcomes clearly and effectively to stakeholders at all levels. Gather continuous feedback to refine products and enhance user experience. 5. Performance Monitoring & Optimization Define and track KPIs to assess product adoption, usage, and business impact. Analyze system performance and user engagement to identify areas for improvement. Drive initiatives to increase data platform efficiency and reliability. Qualifications & Skills Required Bachelor s degree in Computer Science, Engineering, Business, or a related field (Master s preferred). 7+ years of experience in product management, specifically in data warehousing, business intelligence, or analytics. Deep understanding of data architecture, ETL processes, and data modeling. Hands-on experience with BI tools like Tableau, Power BI, or Looker. Strong SQL skills and familiarity with cloud platforms (AWS, Azure, GCP). Proven track record of managing complex, cross-functional data projects in fast-paced environments. Ability to translate business needs into scalable, data-driven solutions. Preferred Experience in automotive, mobility, or e-commerce domains. Familiarity with machine learning concepts and advanced analytics techniques. Soft Skills Strong communication, presentation, and stakeholder engagement skills. Analytical mindset with a focus on delivering business value through data. Effective leadership and cross-functional collaboration. High attention to detail and ability to manage multiple priorities. At Mahindra First Choice, you ll join a fast-growing, innovation-led organization at the forefront of transforming the used car market in India. This is a unique opportunity to shape our data landscape and make a real impact on business outcomes. If you're passionate about unlocking the power of data, we d love to meet you. Qualification : Bachelors degree in Computer Science, Engineering, Business, or a related field (Masters preferred)

Position: Workato Developer Location: Remote/Hybrid | Bengaluru, IND We're seeking a highly skilled Workato Developer to join our team. If you have deep expertise in automation, APIs, and data integration, you'll be responsible for designing, developing, and maintaining robust integration and automation solutions using the Workato platform. Your work will be crucial in streamlining business processes and enhancing system interoperability. What You'll Do: Integration Development: Design, develop, and implement seamless integrations between various systems using the Workato platform, ensuring data consistency and accuracy across all platforms. Automation: Create and manage powerful automation workflows to optimize business processes, significantly reduce manual tasks, and improve overall operational efficiency. API Management: Work with RESTful and SOAP APIs to build integrations that connect both cloud and on-premises applications, enabling smooth and efficient data exchange. Workflow Orchestration: Design and implement end-to-end workflows that span multiple systems, ensuring smooth data flow and comprehensive process automation. Data Transformation: Develop and manage complex data transformations, mappings, and logic to ensure accurate data migration and synchronization across diverse systems. Monitoring & Troubleshooting: Proactively monitor the performance of integrations and automations, identifying and resolving issues quickly to ensure continuous reliability and optimal performance. Collaboration: Work closely with business analysts, IT teams, and other stakeholders to thoroughly understand integration requirements and translate them into effective technical solutions. Documentation: Create and maintain comprehensive technical documentation for integration designs, workflows, data mappings, and any custom scripts or configurations. Continuous Improvement: Stay updated with the latest Workato features, integration patterns, and best practices. Provide valuable recommendations to enhance existing integrations and workflows. What You'll Bring: Experience: 3+ years in integration development, with at least 1-2 years of hands-on experience specifically with Workato. Workato Expertise: Strong understanding of Workato platform capabilities, including connectors, recipes, triggers, and actions. API Proficiency: Proven experience with RESTful and SOAP APIs, including API design, development, and management. Data Integration: Solid knowledge of data integration best practices, ETL processes, and data synchronization techniques. Cloud & SaaS: Familiarity with major cloud platforms (e.g., AWS, Azure, Google Cloud) and common SaaS applications (e.g., Salesforce, NetSuite, ServiceNow). Problem-Solving: Strong problem-solving skills with the ability to troubleshoot complex integration issues. Scripting: Proficiency in scripting languages (e.g., JavaScript, Python) used in automation and integration contexts. Integration Concepts: Excellent understanding of system integration concepts, including data formats (JSON, XML), messaging patterns, and error handling. Collaboration & Communication: Ability to work effectively both independently and within a collaborative team environment. Strong communication skills to translate business requirements into technical solutions. Attention to Detail: Meticulous attention to detail and a strong commitment to delivering high-quality, reliable integrations. Education: Bachelor s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Preferred Qualifications: Certifications: Workato Automation Pro or equivalent certification. Other Platforms: Experience with other integration platforms like MuleSoft, Zapier, or Dell Boomi. Databases: Knowledge of database systems (e.g., SQL, NoSQL) and data modeling concepts. Agile Development: Familiarity with Agile development practices and tools like Jira or Confluence. Enterprise Systems: Experience in developing integrations for ERP, CRM, and other enterprise systems.

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

Financial Data Analyst Location: Bengaluru, India Employment Type: Full-time Department: Global Operations About Commure Commure develops AI-driven healthcare technology that reduces administrative burden for providers, enabling more patient-centered care. Our solutions cover clinical documentation, revenue cycle management, patient engagement, and more serving over 250,000 clinicians nationwide and rapidly scaling. Role Overview We are seeking a Financial Data Analyst to ensure the accuracy and integrity of revenue transaction data ingested from various Electronic Health Record (EHR) systems into our financial databases. This role combines quality assurance, data analysis, and a solid grasp of healthcare revenue cycles and compliance. Key Responsibilities Data Verification: Validate revenue transactions from EHR systems against ingested data. Quality Assurance: Develop and execute test plans, document discrepancies, and track defects in data ingestion processes. Mathematical Analysis: Use mathematical techniques to confirm financial data accuracy and integrity. Process Improvement: Collaborate with development teams to enhance data ingestion workflows and QA methods. Documentation: Maintain thorough records of QA tests, data mappings, and findings; prepare reports for stakeholders. Cross-Functional Collaboration: Work with IT, finance, and operations teams to ensure consistent data quality. Compliance: Adhere to HIPAA and other relevant regulatory standards, staying current with best practices in healthcare data handling. Qualifications Bachelor s degree in Information Systems, Computer Science, Mathematics, Healthcare Informatics, or related field. Minimum 3 years of experience in quality assurance or data analysis. Familiarity with healthcare revenue cycles and compliance standards. Advanced Microsoft Excel skills (VLOOKUP, pivot tables, macros), with experience in automation and data modeling preferred. Experience with data visualization tools such as Tableau or Power BI. Strong statistical, mathematical, and analytical abilities. Proficient in SQL and comfortable working with large datasets. Experience with automated QA/testing frameworks and methodologies. Clear communicator able to convey complex data insights to varied stakeholders. Willingness to work night shifts aligned with US time zones (EST to PST). Mission-Driven: Make a tangible impact by transforming healthcare through technology. Strong Investor Support: Backed by leading investors like General Catalyst, Sequoia, and Y Combinator. Rapid Growth: Both companies have achieved 500%+ YoY growth, with ongoing Series D funding. Comprehensive Benefits: Flexible PTO, health coverage, parental leave (subject to location). Qualification : Bachelors degree in Information Systems, Computer Science, Mathematics, Healthcare Informatics, or related field.

Solution Architect Industrial Agents Location: Bengaluru Team: Global Strategic Services Architecture Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader transforming industrial operations with cutting-edge AI and data solutions. Our key offerings including Cognite Atlas AI and Cognite Data Fusion (CDF) help industrial companies solve complex problems, improve efficiency, and make data-driven decisions at scale. Recognized as the 2024 Microsoft Energy & Resources Partner of the Year and the 2022 Technology Innovation Leader for Global Digital Industrial Platforms, we are reshaping the future of digital transformation across sectors like Oil & Gas, Manufacturing, Chemicals, Pharma, and Energy. Our Values Impact: We focus on delivering meaningful, real-world outcomes. Ownership: We take responsibility, embrace inclusivity, and step outside our comfort zones. Relentless: We pursue innovation with energy and integrity never ruthless, always responsible. Role Overview As a Solution Architect Industrial Agents, you will lead the design and development of advanced AI agent frameworks built on Cognite Data Fusion, Atlas AI, and cutting-edge generative AI technologies. You ll enable clients to deploy intelligent agents that autonomously manage and optimize complex industrial systems. This role requires deep expertise in AI, multi-agent systems, and data integration, with a focus on building repeatable, scalable, and production-ready solutions. You ll work closely with engineering, product, customer success, and global delivery teams to ensure successful implementations that create real customer value. What You'll Do Architect robust, scalable solutions that integrate Cognite platforms with AI agent frameworks. Design multi-agent systems using technologies like LangChain to solve real-world industrial problems. Lead the development of Retrieval-Augmented Generation (RAG) systems and intelligent prompt engineering. Implement and optimize vector databases (e.g., Pinecone, Weaviate, Faiss) for advanced semantic search and retrieval tasks. Guide data modeling and integration using Python, SQL, REST APIs, and Cognite s SDKs. Provide technical leadership and mentor engineers across AI and platform teams. Work with cross-functional teams to define requirements, develop prototypes, and launch production-ready solutions. Stay ahead of AI trends especially in generative AI, agent orchestration, reinforcement learning, and time series analysis. Collaborate with product and delivery teams to shape Cognite s evolving AI product suite. What You Bring 10+ years in software engineering, including 5+ years in AI and 2+ years in generative AI or intelligent systems. Proven hands-on experience with multi-agent systems (especially using LangChain or similar frameworks). Strong grasp of RAG architecture, knowledge graphs, and graph databases (e.g., Neo4j, RDF). Proficiency in Python (must-have), and optionally JavaScript or Java. Experience in vector database architecture, embedding creation, and high-performance similarity search. Deep understanding of LLMs, fine-tuning techniques, and prompt engineering. Familiarity with cloud environments (AWS, Azure), CI/CD, Docker, and Kubernetes. Strong communication and stakeholder management skills. Experience with time series forecasting models (e.g., LSTMs, ARIMA, Prophet) and real-time anomaly detection. Industrial domain experience is a plus but not required. Why Join Cognite Be part of a global team of 70+ nationalities driving the industrial AI revolution. Enjoy a flat organizational structure with direct access to leadership and decision-makers. Thrive in a modern, collaborative, hybrid work environment based in Bengaluru. Work on some of the world s most ambitious digital transformation projects. Join a culture of ownership, creativity, and continuous innovation. If you re passionate about shaping the future of industrial AI through intelligent agent systems, we want to hear from you. Cognite welcomes applicants from all backgrounds and identities.

Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience Required: 4 6 Years Education: B.E./B.Tech or equivalent Open Positions: 10 About the Role This is an exciting opportunity to apply your technical expertise while mentoring junior data scientists, influencing technical strategies, and ensuring the highest quality of data-driven decision-making. Key Responsibilities Data Science & Analytics Translate business problems into testable hypotheses and develop proofs of concept. Build and deploy predictive models and machine learning solutions using Python, SQL, and cloud platforms. Use advanced statistical techniques, data mining, and visualization to derive insights from structured and unstructured data. Collaborate with stakeholders to deliver actionable insights and ensure analytical solutions are effectively communicated to both technical and non-technical audiences. Design experiments, conduct hypothesis testing, and create data-driven narratives to support decision-making. Technical Leadership Guide and mentor junior data scientists on best practices, project design, and technical execution. Conduct code reviews, ensure quality documentation, and uphold software development standards (version control, refactoring, collaborative coding). Share emerging trends and best practices in the field to foster team-wide learning. Actively participate in peer learning, technical sessions, and team knowledge-sharing. Project Management Break down complex data science projects into smaller tasks, assign responsibilities, and monitor execution. Balance business impact with execution timelines to deliver pragmatic solutions over theoretical perfection. Create and maintain documentation using standardized frameworks (e.g., CRISP-DM). Required Skills Technical (Must-Have) Advanced proficiency in Python and SQL. Expertise in Probability & Statistics, hypothesis testing, and predictive modeling. Solid hands-on experience with Machine Learning (regression, classification, clustering, etc.). Strong data visualization skills with tools like Tableau, Power BI, and libraries such as matplotlib, seaborn. Experience with cloud platforms (Azure, AWS, or GCP) and modern development tools. Non-Technical (Must-Have) Strong communication skills: Ability to present technical findings to non-technical stakeholders. Project planning, risk management, and delivery tracking experience. Leadership qualities: Mentorship, peer collaboration, and driving process improvements. Excellent written communication for documenting scientific approaches and writing whitepapers. Preferred Skills (Good to Have) Advanced Technical Skills Expertise in areas like NLP, Deep Learning, Reinforcement Learning, Graph ML, or Time Series Forecasting. Hands-on deployment experience using MLOps tools and advanced cloud-native services. Solutioning Acumen Ability to break down complex business challenges and match them with the most effective technical solutions. What Makes You a Great Fit You are a problem solver with a deep understanding of machine learning applications. You thrive in a collaborative environment and excel at mentoring others while growing your own skills. You are motivated by impact and have the ability to translate raw data into strategic insights. Perks & Benefits Opportunity to work on cutting-edge, enterprise-scale problems. Be a part of a collaborative, intellectually curious team. Mentorship and career development support. Access to advanced tools, resources, and cloud technologies.

Data Scientist II Join the Meesho Tech Team Location: Bangalore, Karnataka | Department: Technology Empower the Future of E-Commerce with Meesho We are looking for an experienced Data Scientist II to join our Avengers-like Data Science team at Meesho. As part of our mission to revolutionize e-commerce in India, we solve complex problems related to fraud detection, inventory optimization, and localized platform experiences that impact millions of users daily. As a mid-level Data Scientist, you ll partner with stakeholders across teams to create data-driven strategies, improve platform performance, and lead initiatives that enable better business outcomes for resellers and end users across Bharat. What You ll Do Design and build predictive models and machine learning solutions using large-scale data Conduct experiments and extract insights from high-volume structured and unstructured data Enhance product usability and surface new growth opportunities through advanced analytics Analyze reseller behavior to deliver personalized product recommendations Design effective discount programs to increase reseller sales performance Identify customer preferences to help resellers better serve their buyers and drive revenue Uncover supply chain inefficiencies and support SLA adherence through data insights Forecast seasonal and regional demand to optimize key business metrics Mentor junior data scientists and contribute to team knowledge-sharing What You ll Need Bachelor s or Master s degree in Computer Science, Data Science, or a related technical field 2 4 years of experience in a Data Scientist role, ideally within a fast-moving B2C tech environment Strong knowledge of Machine Learning algorithms, Neural Networks, and data modeling techniques Hands-on experience with SQL, Python, and R for data manipulation and analysis Strong understanding of statistics, linear algebra, and A/B testing methodologies Demonstrated ability to turn business problems into data science solutions Experience working with product and engineering teams to deliver scalable systems Preferred Qualifications Prior experience solving personalization or recommendation engine problems Familiarity with Big Data technologies like Apache Spark, Hadoop, or Amazon Redshift About Meesho Meesho is India's top-rated e-commerce workplace, revolutionizing online commerce for the next billion users. We empower over 1.75 million sellers through an inclusive, technology-driven platform that offers zero-commission selling, the lowest logistics costs, and access to a massive customer base across every serviceable pincode in India. Our Mission Democratizing Internet Commerce for Everyone Meesho (Meri Shop) aims to help 100 million small businesses succeed online. With relatable merchandise and localized user experiences, we re building a truly inclusive digital shopping ecosystem for underserved markets in India. Our Culture and Benefits Meesho fosters a high-performance and people-first culture. Our workplace philosophy is shaped by 11 guiding principles ("Mantras") and practices like Reflections, Listen or Die, and a robust Internal Mobility Program. Our Total Rewards Include: Competitive compensation packages including performance-based equity Comprehensive wellness through our MeeCare Program covering medical, mental, and financial well-being Flexible leave policies and parental support benefits to ensure work-life balance Relocation support, salary advances, and learning & development assistance Fun, collaborative culture with team engagement events, gifts, and recognition programs We are not just building a company; we re creating a movement. If you re driven by data and inspired to make a difference, come be a part of Meesho s journey to redefine e-commerce in India. Apply today and let's build the future of commerce, together. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or a related technical field

Data Scientist with GenAI-2 Location: Bengaluru, India Company: Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) Company Overview Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. Job Description Key Responsibilities: Research, design, develop, and modify computer vision and machine learning algorithms and models, leveraging technologies such as Caffe, Torch, or TensorFlow. Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops, and prototyping initiatives. Help build a high-impact ML/AI team by supporting recruitment, training, and development of team members. Serve as an evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations, and/or other channels. Design integrations of and tune machine learning and computer vision algorithms. Research and prototype techniques and algorithms for object detection and recognition. Use Convolutional Neural Networks (CNN) for performing image classification and object detection. Familiarity with Embedded Vision Processing systems. Work with open-source tools & platforms for statistical modeling, data extraction, and analysis. Construct, train, evaluate, and tune neural networks. Mandatory Skills: Proficiency in Java, C++, Python. Experience with Deep Learning frameworks such as Caffe, Torch, TensorFlow. Experience with image/video vision libraries like OpenCV, Clarifai, Google Cloud Vision. Expertise in Supervised & Unsupervised Learning. Development of feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, random forest) on big data computation platforms (Hadoop, Spark, HIVE, Tableau). Familiarity with technologies such as Tableau, Hadoop, Spark, HBase, Kafka. Experience: 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence. Experience in creating and applying Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross-functional teams. Experience with cloud services like AWS, Microsoft, IBM, and Google Cloud. Experience with Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems, or similar fields. Nice to Have: Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience. About Wipro Wipro is building a modern digital transformation business with bold ambitions. Join a team that values reinvention of yourself, your career, and your skills. Wipro is a place that empowers you to design your own career reinvention, evolve, and grow. Applications from people with disabilities are explicitly welcome. Qualification : BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience.

Data Engineer, Product Analytics Location: Bangalore, India Full Time Company: Meta Meta is looking for an experienced Data Engineer to join our Product Analytics team. In this role, you will work on some of the most extensive data sets in the world, crafting experiences for billions of people and millions of businesses. Your technical expertise and analytical mindset will help shape data solutions across Meta to drive user experience optimization, growth, and strategy. You'll work alongside software engineers, data scientists, and product managers to tackle the most interesting data challenges at a scale few companies can match. Key Responsibilities: Conceptualize and own the data architecture for multiple large-scale projects, balancing design and operational cost-benefit tradeoffs. Design and contribute to frameworks that improve logging data efficacy, working with data infrastructure teams to resolve issues. Collaborate with engineers, product managers, and data scientists to understand data needs and represent insights meaningfully. Define and manage Service Level Agreements (SLAs) for all data sets in allocated areas of ownership. Implement and maintain security models based on privacy requirements and ensure safeguards are followed to ensure data quality. Design, build, and launch sophisticated data models and visualizations that support multiple use cases across various products. Address complex data integration challenges using optimal ETL patterns, frameworks, and techniques from structured and unstructured data sources. Optimize existing processes, pipelines, dashboards, and systems to enhance the development of data artifacts. Influence product and cross-functional teams to identify data opportunities that will drive impact. Mentor junior team members by providing constructive feedback and receiving feedback to grow as a team. Minimum Qualifications: Bachelor s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience. 4+ years of experience in roles focused on data engineering, data analysis, or similar positions, working with SQL, ETL, data modeling, and programming languages (e.g., Python, C++, Scala). Experience with SQL, ETL processes, and data modeling, along with at least one programming language (e.g., Python, C++, C#, Scala). Preferred Qualifications: Master's or Ph.D. degree in a STEM field (Science, Technology, Engineering, Mathematics). About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, we have revolutionized how people connect. Our apps, including Messenger, Instagram, and WhatsApp, empower billions worldwide. Now, Meta is moving beyond 2D screens towards immersive experiences like augmented and virtual reality, building the next evolution in social technology. When you join Meta, you help shape the future of digital connection, taking us beyond screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : Bachelors degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.

Senior Machine Learning Engineer Location: Bengaluru, India Company: Chevron Experience Required: 5 10 Years Department: AI/ML Engineering Work Mode: Hybrid / Global Operations Support About the Role Chevron is actively seeking a Senior Machine Learning Engineer to join our cutting-edge AI team. You will be responsible for designing, building, and optimizing advanced machine learning systems that power transformative applications in artificial intelligence. In this role, you will develop self-learning applications and refine AI systems using robust engineering, statistics, and software design practices. Key Responsibilities Study and transform data science prototypes into production-ready systems Design scalable and robust machine learning systems Research and implement modern ML algorithms and tools Develop ML applications based on business and technical requirements Select appropriate datasets, data pipelines, and data representation techniques Run experiments and evaluate results to fine-tune models Perform statistical analysis and ML performance optimization Train and retrain models as new data becomes available Extend and customize existing ML libraries and frameworks Stay up to date with the latest ML research and trends Required Qualifications 5 10 years of proven experience as a Machine Learning Engineer or in a similar role Hands-on experience with Azure Machine Learning and MLOps Strong skills in data structures, data modeling, and software architecture Deep knowledge of math, probability, statistics, and algorithm design Proficient in programming languages: Python, R Familiarity with ML frameworks and libraries such as Keras, PyTorch, scikit-learn Excellent analytical and problem-solving skills Strong communication and teamwork abilities Working Hours Chevron supports international teams. Work hours are scheduled to align with global collaboration: Work Days: Monday to Friday Shift Options: 8:00 AM 5:00 PM or 1:30 PM 10:30 PM IST Opportunity to work on impactful ML/AI solutions at enterprise scale Flexible work culture with global exposure Advanced tools, infrastructure, and data at your fingertips Professional growth in a forward-thinking, innovation-driven environment Equal Opportunity Statement Chevron is an equal opportunity employer and adheres to inclusive hiring practices. All qualified candidates will receive consideration without regard to race, gender, age, religion, nationality, sexual orientation, disability, or any other protected status. Chevron also participates in E-Verify as required by law in applicable jurisdictions. Apply Today

Lead Data Engineer | ThoughtWorks | Bangalore, India Location: Bangalore, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks At ThoughtWorks, we're a global technology consultancy that integrates strategy, design, and engineering to drive digital innovation. For over 30 years, we've worked alongside our clients to deliver solutions that challenge the status status quo. With a diverse and inclusive team, we empower each other to grow through shared learning, fostering an environment where innovation thrives. Our commitment to a cultivation culture is key to our success, and we re looking for a Lead Data Engineer to join our Bangalore team and lead transformative projects. Job Overview As a Lead Data Engineer at ThoughtWorks, you will be responsible for designing, developing, and operating modern data architectures that meet client business objectives. You will lead and manage data engineering projects end-to-end, from strategic planning to hands-on coding, ensuring the delivery of scalable and efficient data solutions. Working with cutting-edge technologies, you ll collaborate with stakeholders, clients, and cross-functional teams to implement data-driven strategies that address complex business challenges. Key Responsibilities Project Leadership: Lead and manage data engineering projects from inception to completion, including goal-setting, scope definition, and ensuring on-time delivery in collaboration with cross-functional teams. Data Architecture & Solution Design: Collaborate with clients to design modern data architecture and implement end-to-end solutions that meet key business objectives. Create intricate data processing pipelines to address complex business problems. Stakeholder Collaboration: Work closely with stakeholders to understand business objectives and identify opportunities to leverage data and data quality improvements. Data Modeling & Governance: Develop data models using modern modeling techniques and implement them using appropriate technologies. Ensure compliance with data governance, security, and privacy requirements. Scalable Implementations: Partner with data scientists to design scalable implementations of their models, ensuring the solutions are robust and efficient. Clean, Iterative Code: Write clean, modular code based on TDD (Test-Driven Development) and implement continuous delivery practices to support and operate data pipelines. Technology Guidance: Advise clients on distributed storage and computing technologies, selecting the best options to fit their business needs. Data Quality Strategy: Define and incorporate data quality strategies into daily work processes to ensure high standards and compliance. Job Qualifications Technical Skills: Proven experience in data engineering and system design, with a focus on building Big Data architecture and data pipelines within distributed systems. Deep knowledge of data modeling and hands-on experience with modern data engineering tools and platforms. Strong programming skills, with expertise in building scalable, high-quality data pipelines using languages like Python, Java, Scala, or others. Experience with distributed storage platforms (e.g., Hadoop, Amazon S3, etc.) and distributed processing platforms (e.g., Spark, Flink). Experience working with SQL, NoSQL, data lakes, and other data storage technologies. Familiarity with data visualization techniques and ability to communicate insights effectively across varying audiences. Professional Skills: Stakeholder Management: Strong ability to liaise between clients and other key stakeholders, ensuring trust and buy-in throughout projects. Adaptability & Resilience: Comfortable handling ambiguity and finding innovative solutions to complex challenges. Leadership & Mentorship: Experienced in coaching and mentoring team members, fostering a culture of professional growth and accountability. Risk & Conflict Management: Skilled in managing risks and resolving conflicts, driving projects forward despite challenges. Relationship Building: Natural at cultivating strong relationships with clients, stakeholders, and internal teams to create new opportunities. What You Bring to the Team Leadership: A proven track record in leading high-performance teams and supporting colleagues in their professional development. Curiosity & Innovation: A passion for data and technology and a willingness to continually learn and push the boundaries of what's possible. Collaboration: Ability to work closely with cross-functional teams and stakeholders to design and implement innovative data solutions. At ThoughtWorks, we believe in giving you the autonomy to carve out your unique career path, while providing support through development programs and a vibrant culture of learning. You ll work on exciting projects with a diverse team, solve complex challenges, and make an impact at a global scale. Join ThoughtWorks and be part of a global community of innovators. Together, we turn curiosity into action and creativity into impactful solutions.

Analytics Lead/Architect Location: Bengaluru, Karnataka, India Job Category: Consulting Job Type: Regular Employee Role: Individual Contributor Job Description: As a BI Architect, you will work on both offshore and onsite client projects. Your responsibilities will involve working with Oracle BI Applications, OAC (Oracle Analytics Cloud), and ODI (Oracle Data Integrator) implementations. You will engage with clients to understand their requirements, lead technical designs, and oversee system and integration testing using Oracle methodologies. You will also contribute to PreSales, the creation of Go-to-Market (GTM) strategies, and take the lead in developing IP/solution accelerators. Additionally, you will be responsible for owning the technical delivery of large, complex projects. Responsibilities: Lead Oracle BI Applications, OAC, and ODI implementations. Interact with clients to understand and gather business requirements. Oversee technical design, development, and system/integration testing. Contribute to PreSales activities and the creation of Go-to-Market (GTM) strategies. Lead the development of IP/solution accelerators. Own the technical delivery of large and complex projects. Required Skills: BI (Business Intelligence) expertise. Experience with Oracle Data Integrator (ODI). This position offers the opportunity to work on cutting-edge analytics technologies and deliver impactful solutions in a collaborative and dynamic environment. If you have significant experience in Oracle BI and ODI implementations, and enjoy leading large, complex projects, we would love to hear from you.

Position: Data Integration Developer Talend Location: Bangalore Employment Type: Full-time Experience Required: 4 to 7 years Overview: We are seeking a Data Integration Developer with strong expertise in Talend to join our growing data engineering team. This role is ideal for professionals who are passionate about designing and building robust, scalable ETL/ELT pipelines and integrating enterprise data across cloud and on-premise platforms. You will work closely with data architects, business analysts, and reporting teams to support data transformation, integration, and analytics efforts. Key Responsibilities: ETL/ELT Solutions Development: Design, develop, and deploy scalable ETL/ELT processes using Talend Data Integration (on-prem and cloud). Data Transformation & Integration: Implement data transformation using stored procedures and other data processing techniques. Report Development Support: Collaborate with reporting teams to support dashboard/report creation using tools like MicroStrategy and Power BI. Documentation & Data Governance: Create detailed pipeline documentation, configurations, and data workflows. Performance Optimization: Monitor pipeline performance, identify bottlenecks, and troubleshoot data integration issues. Essential Skills: Hands-on experience with Talend Suite (Talend Data Integration, Talend Cloud) Experience with Snowflake and writing Stored Procedures Knowledge of ETL/ELT design, data warehousing, and data modeling Familiarity with JSON, XML, CSV data formats Experience with data quality frameworks and job monitoring/scheduling tools Proficiency in Agile methodology and tools like JIRA Desirable Skills: Experience with reporting tools such as MicroStrategy and Power BI Skills in scripting languages: Python, Java, or Shell Understanding of cloud platforms (AWS, GCP, Azure) and related data services Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field Minimum of 3+ years of Talend development experience Qualities We Value: Strong verbal and written communication skills Experience in Agile and cross-functional team environments Problem-solving mindset and ability to work under minimal supervision Quick learner with a passion for data and process improvement Work with modern cloud data integration and enterprise tools Collaborate with global clients and expert teams Be part of cutting-edge data platform transformation initiatives Apply today and be part of our mission to deliver next-gen, data-driven insights. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Job Title: Data Analyst Location: Bengaluru Company: LoadShare Networks About LoadShare Networks At LoadShare, we re building India s largest intra-city logistics marketplace. Founded in 2017, we are a Series C startup backed by a strong set of investors (Tiger Global, Matrix Partners, BII, Stellaris, BeeNext, Filter Capital), focused on building a profitable and impactful business. We work with all major enterprise clients covering a wide range of intra-city use cases, including: Quick Commerce: Blinkit, Zepto, BBNow Food Delivery: Swiggy, Zomato Hyperlocal: Apollo, Licious Grocery: Reliance, Spencers, ONDC eCommerce: Flipkart, Amazon, Meesho, ShipRocket Bike Taxi: Uber, Ola Scale & Reach: Delivering over 500K orders per day across food, e-commerce, grocery, etc. Operating in 500+ towns nationwide with a fleet of 20K+ riders. Our tech platform powers 1M+ shipments daily. Role Overview As a Data Analyst at LoadShare, you will be an integral part of our Data team, responsible for designing, developing, and maintaining analytics reports and dashboards that measure, monitor, and alert the business regarding operations and product metrics. You ll work closely with internal teams to troubleshoot data issues, build ETL pipelines, and contribute to process improvements and innovation. Key Responsibilities Analyze, design, and develop analytics reports and dashboards to track key business metrics, providing insights into operational performance. Use your strong SQL skills to troubleshoot data issues in complex workflows and work with product and tech teams to resolve them. Build and maintain ETL pipelines to support data movement and integration across systems. Create ad-hoc reports as requested, ensuring timely and accurate delivery. Present findings and actionable recommendations to both business and non-technical stakeholders using effective storytelling techniques. Collaborate with product, business, and tech teams to understand the business domain and deliver insightful reports and dashboards that support business growth and optimization. Continuously improve data models, ensuring data is accessible and accurate for decision-making across the organization. Work on in-house technology projects to bring innovation and process improvements. Job Requirements Technical Skills: Strong proficiency in SQL and experience with writing and tuning SQL scripts. Around 1-2 years of experience coding in Python (experience in web scraping is a plus). Experience in data modeling, data warehousing, and building ETL pipelines. Familiarity with Business Intelligence (BI) tools such as Zoho Analytics, Metabase, Redash, Tableau, or Power BI. Collaboration: Ability to partner effectively with product, business, and tech teams to understand the business needs and develop reports and dashboards that support business growth. Communication: Strong communication skills, both written and verbal, with the ability to present complex data and insights to both technical and non-technical stakeholders. Problem-Solving: Proactive in identifying data issues, troubleshooting, and providing solutions that improve data integrity and usability. Key Skills SQL, Python, ETL Pipelines Data Modeling, Data Warehousing BI Tools: Zoho Analytics, Metabase, Redash, Tableau, Power BI Data Analysis & Reporting Communication & Collaboration

Job Title: Business Intelligence (BI) Lead Life Sciences Sector About the Role: As the BI Lead, you will spearhead and develop Business Intelligence (BI) projects within the team, focusing on constructing an analytical data layer, developing custom BI reporting solutions, monitoring platform performance, and enabling self-serve reporting for Regional Business Units (RBU) and Global Business Units (GBU). Your primary responsibility is to deliver high-quality contributions to client projects in the life sciences sector. These tasks will range from basic analysis and problem-solving to assisting in the creation of more complex solutions. You ll demonstrate a comprehensive understanding of pharmaceutical data assets, including IQVIA, CRM, and MCM data, as well as country-specific variations. Key duties include training and upskilling Business Units (BUs) to use the self-serve layer effectively for report and dashboard creation, assessing data requirements for decision-making, and ensuring data accuracy. You ll work closely with engineering and data platform teams to improve data availability and reliability, while collaborating on client proposals and solution strategies. Additionally, you will contribute to documentation and specifications, design presentations, and actively engage in the consulting methodologies and life sciences market to continuously grow your knowledge. Key Responsibilities: Lead BI projects, including building and maintaining an analytical data layer, and developing BI solutions for reporting and visualization. Deliver high-quality, timely contributions to life sciences client projects, ranging from basic analysis to complex solutions. Utilize pharmaceutical data assets (IQVIA, CRM, MCM) and understand regional data variations. Train Business Units (BUs) to efficiently use the self-serve reporting layer for creating reports and dashboards. Assess data requirements, identify suitable data sources, ensure data accuracy, and perform necessary transformations for decision-making. Establish and track business metrics, and perform in-depth process analysis to identify areas for improvement. Collaborate with engineering and data platform teams to enhance data availability and reliability. Review and analyze client requirements, contribute to proposal development, and create tailored client solutions. Create detailed documentation, including specifications and quantitative/qualitative analyses. Present client deliverables within established frameworks, adapting presentations to audience needs. Stay engaged in consulting methodologies, life sciences market trends, and professional development opportunities. Manage project-based responsibilities under the guidance of senior consultants and directors. Desired Candidate Profile: Proficiency in SQL and BI platforms, particularly Power BI (Spotfire knowledge is a plus). Extensive experience with data transformation/ETL, data modeling, and a strong understanding of data platforms and ETL processes. Hands-on experience with Power BI, including the creation of reports, dashboards, and visualizations, and experience in environments such as Salesforce, Snowflake, or Azure. Skilled in migrating SSRS reports/Tabular reports to Power BI Paginated Reports. Advanced knowledge of Power Query M and experience building sophisticated DAX queries. Experience implementing static and dynamic Row Level Security, along with extensive knowledge in dataset design, data cleansing, and aggregation. Understanding of relational database structures, principles, and practices. Solid SQL skills, including the ability to write complex queries and create SQL views for custom datasets. Strong proficiency in Excel, PowerPoint, and Access, with VBA knowledge considered a plus. Proven ability to build relationships with multiple stakeholders (BI engineers, Data Engineers, Consulting teams, Product Managers). Familiarity with Software Development Life Cycle (SDLC) and Agile methodologies. Experience with technical project execution, including proposal writing, creating BRD, PDD, SDD, and user documentation. Excellent verbal and written communication skills. Previous experience in application or implementation support is required. Strong problem-solving skills and a macro-level approach to research and analytics. Good to Have: Experience with other BI technologies (e.g., Tableau, Looker Studio, ThoughtSpot). Knowledge of Python/R. Experience with Microsoft Power Platform tools (e.g., PowerApps, Power Automate). Hands-on experience with Canvas App Configuration, Canvas App Functions, Power Portals, Power Automate Desktop, and custom connectors. Familiarity with Azure services, AI builder, Virtual Agents, and SharePoint list customization. Microsoft Power Platform certification is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. 6-8 years of relevant experience. Demonstrated collaborative approach, working effectively across teams to achieve objectives. Knowledge of core business processes and their impact on decision-making and growth. Familiarity with consulting methodologies, tools, and techniques. Up-to-date with current industry trends and insights into competitors and marketplace dynamics. Proficiency in time management, Scrum methodologies, and agile working practices. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field.

Data Scientist - Global Sugar and Ethanol Production Company Description: Louis Dreyfus Company is a leading merchant and processor of agricultural goods, active across the entire value chain from farm to fork. We operate a broad range of business lines, leveraging our global reach and extensive asset network to serve customers and consumers worldwide. As a matrix organization spanning six geographical regions and ten platforms, we are present in over 100 countries and employ approximately 18,000 people globally. Job Description: We are seeking an experienced Data Scientist to join our team, focusing on managing and analyzing global Sugar and Ethanol production data. This role involves integrating large datasets, applying statistical estimation methods, and developing interactive dashboards to support data-driven decision-making. You will work closely with cross-functional teams to generate insights that enhance business strategies and identify risks in production trends. Main Responsibilities: Manage and estimate global Sugar and Ethanol production and associated risks. Integrate large datasets from various sources and perform feature engineering to improve data quality and usability. Apply statistical methods and estimation techniques to analyze production trends and assess risks. Develop and maintain interactive dashboards to visualize key metrics and insights. Present findings and recommendations to stakeholders through detailed reports and presentations. Collaborate with cross-functional teams to ensure data-driven decision-making across the organization. Experience: Minimum of 3 years of experience in data science, preferably within the commodities sector. Advanced proficiency in Python programming, with expertise in libraries such as Pandas, NumPy, and Scikit-learn. Strong understanding of data integration and feature engineering techniques. Experience in statistical analysis and modeling. Proficiency in data visualization tools such as Dash. Excellent communication and presentation skills. Ability to work independently and as part of a team. Qualifications: Master s degree in economics, applied statistics, or a related field. A Ph.D. is a plus. Fluency in English, both oral and written. Experience working in a commodities-related field is preferred. Qualification : Masters degree in economics, applied statistics, or a related field. A Ph.D. is a plus.