Data Innovation Jobs in Mumbai

Procurement Team Lead Location: Mumbai Work Type: Full-Time About Ninjacart At Ninjacart, we re reimagining how India s agri-supply chain works. As the country s leading agri-platform, we harness the power of technology, data, and innovation to organize and optimize the movement of fresh produce from farms to consumers plates. Over the past six years, our made-for-India technology and India-first solutions have disrupted traditional systems, empowering farmers, traders, and retailers while creating efficiency, transparency, and fairness across the agri commerce ecosystem. Our mission is to build the digital network for global agri commerce, solving challenges like information asymmetry, payment inefficiencies, and distribution gaps while helping buyers and sellers discover each other seamlessly. Backed by Walmart Group, Tiger Global, Accel, Syngenta, and other world-class investors, Ninjacart has raised over $350 million and is proudly recognized among Top 25 Startups to Work For. At Ninjacart, we re a high-energy, results-driven community that values ownership, innovation, and collaboration. We move fast, think big, and solve real problems at scale. About the Role As a Procurement Team Lead, you ll play a key role in ensuring product availability, optimizing cost structures, and building long-term vendor relationships. You will manage sourcing, planning, and procurement strategies that drive profitability, minimize waste, and ensure high service levels across categories. Key Responsibilities Supply Planning & Inventory Management: Ensure 100% fill rates for assigned SKUs by identifying reliable supply sources, monitoring stock levels, and maintaining optimal inventory with minimal wastage. Cost Optimization: Track and analyze price trends across markets to inform sourcing decisions. Identify and implement cost-saving initiatives to improve margins across the supply chain. Vendor Management: Identify, onboard, and manage vendors through effective price negotiations, reconciliations, and credit cycle management. Monitor vendor performance, develop scorecards, and build long-term partnerships to strengthen loyalty and performance. Stakeholder Collaboration: Work closely with Category, Supply Chain, Finance, and Quality teams to ensure seamless coordination and timely decision-making across functions. 2+ years of experience in vendor management, preferably in Fruits & Vegetables (F&V), Grocery, or E-commerce sectors. Bachelor s degree in Engineering from a Tier 2, 3, or 4 institution. Strong negotiation, pitching, and problem-solving skills with a sharp business acumen. Highly self-motivated, agile, and adaptable in a fast-paced, evolving environment. Strong interpersonal skills and a data-driven approach to decision-making. At Ninjacart, you don t just work you create impact at scale. You ll have the autonomy to lead, the platform to innovate, and the opportunity to make a difference in one of India s most vital industries. Be a Ninja. Power the future of agri-commerce. Qualification : Bachelors degree in Engineering from a Tier 2, 3, or 4 institution

Position Title: Senior Vice President Data, AI & Cloud Location: Mumbai Department: Technology Role Overview We are seeking a visionary technology leader to serve as Senior Vice President Data, AI & Cloud, responsible for architecting and executing our enterprise-wide data, AI/ML, and cloud strategy. This is a transformative leadership role that combines deep technical expertise with strong business acumen to drive innovation, operational efficiency, and intelligent decision-making across the organization. You will lead platform modernization, enable large-scale AI/ML adoption, and optimize cloud infrastructure, all while building a culture where data and AI are embedded in everyday decision-making. The ideal candidate will be both a strategic thinker and a hands-on technologist capable of translating cutting-edge developments like generative AI and LLMs into practical enterprise applications. Key Responsibilities Strategic Leadership Define and implement a cohesive strategy across Data, AI/ML, and Cloud aligned with enterprise objectives. Drive AI democratization by embedding intelligence in core workflows and decision systems. Champion a data-driven, innovation-first culture across both business and technology teams. AI Advocacy & Adoption Act as the internal evangelist for AI leading awareness, education, and enablement initiatives. Partner with cross-functional teams (product, credit, operations, etc.) to co-create impactful AI solutions. Translate advanced AI technologies (LLMs, generative AI, agentic workflows) into scalable enterprise applications. AI/ML Delivery & Innovation Lead end-to-end development and deployment of AI/ML solutions across key areas: credit scoring, collections, fraud detection, automation, and customer insights. Promote the adoption of LLMs and generative AI to power personalization and intelligent decisioning systems. Institutionalize MLOps, Infrastructure-as-Code (IaC), and model observability practices. Data Platform & Governance Overhaul and modernize data architecture with real-time, scalable, cloud-native solutions. Establish and enforce robust data governance, data quality, privacy, and compliance practices (aligned with RBI and other regulatory norms). Cloud Infrastructure & Optimization Architect and maintain a secure, scalable, cost-optimized AWS environment. Implement best-in-class DevOps, Infrastructure-as-Code, and monitoring practices using tools like Terraform, Kubernetes, and Cloud-native observability suites. Team & Capability Building Build and lead high-performing teams across Data Engineering, ML Engineering, and Cloud Operations. Mentor and inspire talent to drive innovation and cross-functional collaboration. Technology Stack AI/ML: Python, TensorFlow, PyTorch, MLflow, LangChain, LLMs, Agentic Workflows Cloud (AWS): S3, EKS, ECR, Lambda, CloudWatch, CloudTrail, IAM, SageMaker, Bedrock Databases: RDBMS, Amazon Redshift, MongoDB DevOps & Infrastructure: Terraform, Kubernetes, CI/CD tools, ETL pipelines Desired Candidate Profile 12+ years of progressive experience in data engineering, AI/ML, and cloud infrastructure roles, with at least 5 years in a leadership capacity. Proven success in leading data platform modernization and delivering enterprise-scale AI solutions in regulated industries preferably financial services. Deep hands-on expertise with Python, ML frameworks (TensorFlow, PyTorch), MLOps tools (MLflow), and generative AI platforms (LangChain, LLMs). Strong understanding of financial data, credit models, risk analytics, and compliance requirements (including RBI regulations). Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field

Position Title: Senior Manager Generative AI & Innovation Lead Location: Mumbai Department: Data Science, AI & Innovation Job Summary We are looking for a forward-thinking and execution-focused Generative AI & Innovation Lead to drive AI-led transformation in the lending industry. In this high-impact role, you will be responsible for identifying, prototyping, and scaling cutting-edge generative AI solutions that enhance efficiency, improve customer experiences, and streamline business processes across the organization. This position is ideal for a passionate innovator who understands the rapidly evolving AI landscape and can bridge the gap between advanced technologies and real-world business needs particularly in financial services. Key Responsibilities Strategic Innovation Leadership Lead AI innovation initiatives by identifying high-impact generative AI use cases across the lending value chain. Develop and own the roadmap for generative AI adoption aligned with key business objectives. Act as a catalyst for organization-wide transformation through AI-powered solutions. Technology & Ecosystem Awareness Stay on top of the latest advancements in LLMs, multimodal AI models, and agentic frameworks. Evaluate enterprise platforms such as AWS Bedrock, Azure OpenAI, Google Vertex AI, and open-source alternatives. Build internal awareness of emerging technologies and their potential applications. Competitive & Market Intelligence Benchmark AI adoption in financial services and lending industries. Analyze competitor strategies and identify whitespace opportunities and unmet customer needs. Use Case Development & Experimentation Collaborate with business, data science, and tech teams to prioritize and validate high-impact use cases. Rapidly design and develop proof-of-concepts (POCs) with measurable success metrics. Scale validated solutions into production with focus on usability, scalability, and business ROI. Agile & Lean Execution Foster a fail-fast, learn-fast culture with cost-efficient experimentation. Promote lean innovation and lead internal evangelism for AI-driven transformation. Cross-functional Collaboration Partner with engineering, data science, product, compliance, and legal teams for ethical, scalable deployment. Ensure adherence to governance standards, including explainability, fairness, and regulatory compliance. Qualifications & Experience Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus. 2+ years of experience in AI/ML, with at least 1 year hands-on in Generative AI. Proven track record of leading innovation or AI-driven initiatives, preferably in lending or financial services. Deep understanding of the lending lifecycle, including underwriting, collections, risk models, and regulatory frameworks. Hands-on experience with LLMs (e.g., GPT, Claude, Mistral, LLaMA), embedding models, prompt engineering, and vector databases. Familiarity with cloud platforms (AWS, Azure, GCP) and orchestration tools like LangChain, Haystack. Excellent communication, leadership, and stakeholder management skills. Preferred Skills Experience with synthetic data generation, document AI, conversational AI, or autonomous agents. Understanding of ethical AI, privacy laws, and compliance standards in financial services. Exposure to startups or intrapreneurial roles in launching new AI products or platforms. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus

Engineering Manager Experience: 10+ Years Location: Mumbai Type: Full-Time About Fynd Fynd is India s largest omnichannel retail platform and a multi-platform technology company at the forefront of AI, ML, big data, and retail innovation. Serving over 2,300 brands, we offer a unified system that empowers businesses to streamline online and offline sales, manage inventory, enhance store operations, and elevate customer engagement. Role Overview We re looking for a dynamic Engineering Manager who can lead by example writing scalable, performant code while mentoring high-performing teams. Beyond traditional engineering leadership, we value individuals who embrace AI as a development accelerator, using tools like GitHub Copilot, Cursor, and ChatGPT to enhance productivity across coding, testing, and documentation. As an Engineering Manager at Fynd, you ll take ownership of end-to-end architecture, build web applications, and manage teams across backend and frontend technologies. You ll also play a key role in shaping our cloud-native infrastructure on AWS. Key Responsibilities Lead, mentor, and grow a team of backend and frontend engineers, encouraging innovation and ownership. Architect, design, and deliver scalable backend systems using Node.js and Python. Build responsive and secure frontend applications with React.js, ensuring seamless integration with backend services. Leverage AI tools (e.g., GitHub Copilot, GPT-4, Cursor) to accelerate development cycles scaffolding, testing, debugging, and documenting code. Manage cloud infrastructure on AWS including Lambda, EC2, S3, RDS, API Gateway, etc. Design and optimize databases with MongoDB and PostgreSQL, ensuring performance and reliability. Define and implement engineering best practices across CI/CD, code reviews, testing, security, and deployment. Collaborate cross-functionally with product managers, designers, and DevOps to ship impactful features. Proactively monitor system performance, troubleshoot production issues, and ensure high system availability. Stay on top of emerging technologies and trends to drive continuous improvement within the team and the organization. Requirements Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 10+ years of hands-on software development experience, including 3+ years in engineering leadership. Expertise in Node.js, Python, and React.js. Strong experience in MongoDB, PostgreSQL, and scalable data modeling. Proven track record in cloud-native architecture and microservices, with hands-on AWS experience. Familiarity with DevOps practices, CI/CD pipelines, Docker, and Kubernetes. Excellent problem-solving skills and ability to make sound technical decisions. Strong communication, mentorship, and team-building skills. Experience in leading engineering teams in high-growth, fast-paced environments. Growth: We re growing fast across products, markets, and technologies. As a part of Fynd, you ll have opportunities to lead new initiatives, expand into leadership roles, and be part of a company that invests in your growth. Flex University & Learning Wallet: Access in-house courses to upskill or pursue external certifications with full reimbursement your learning is our priority. Culture: Team bonding, events, and celebrations are part of our rhythm weekly, quarterly, and annual. Wellness: Comprehensive Mediclaim for you, your spouse, kids, and parents. Access to licensed therapists to support mental health and work-life balance. Work Culture We work from our Mumbai office 5 days a week to foster collaboration and team synergy. If you re excited to build, lead, and innovate at the intersection of tech and AI we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Employer Branding & Events Senior Associate Location: Mumbai Experience: 2 4 Years Type: Full-Time About Fynd Fynd is India s largest omnichannel platform and a multi-platform tech company at the cutting edge of retail innovation. We specialize in AI, ML, big data, image editing, and learning technologies enabling over 2,300 brands to manage online/offline sales, inventory, and customer engagement with ease. As a company, we re not just transforming the retail space we re also building a thriving culture that reflects innovation, inclusion, and impact. Role Overview We re looking for a creative and detail-oriented Senior Associate Employer Branding & Events to help bring Fynd s culture to life. This role blends event management, social media storytelling, and vendor operations to shape how people experience and perceive Fynd both inside and out. You ll craft experiences that energize employees, build an authentic online presence, and ensure operational excellence behind every activation. If you love creating engaging moments, managing multiple moving parts, and driving culture through storytelling, we d love to hear from you. Key Responsibilities Event Management & Employee Experience Plan and execute internal events, L&D sessions, workshops, and celebrations. Partner with co-working spaces (e.g., WeWork) for curated monthly activations like flea markets and creative sessions. Handle end-to-end logistics: budgeting, vendor coordination, sourcing, and on-site execution. Gather post-event feedback and amplify moments across internal and external channels. Social Media & Employer Branding Own and execute content strategies for LinkedIn and Instagram (Life at Fynd). Collaborate with designers, freelancers, and team members to create authentic, engaging content. Monitor performance metrics, report monthly insights, and build a vibrant digital employer brand. Actively engage with the online community by responding to comments and DMs. Vendor & Procurement Management Source and manage vendors for merchandise, events, gifting, and activations. Oversee procurement: from POs and quality checks to invoicing and payments. Maintain inventory of company goodies and ensure accurate distribution and stock tracking. Podcast Coordination Fynd Cast Support scheduling, guest coordination, and production logistics for our internal podcast, Behind Closed Doors. Work with editors and freelancers to ensure timely episode rollouts. Track performance analytics and optimize for future content strategies. Internal Communication & Engagement Create new joiner announcements and employee-facing designs using Canva. Plan and support engagement activities to close onboarding cohorts memorably. Assist in the backend coordination of learning and development sessions. Reporting & Presentation Compile event recaps, social media reports, and feedback summaries. Build polished presentation decks to showcase outcomes, insights, and recommendations to leadership. What You ll Need Must-Have Qualifications 2 4 years of hands-on experience in event planning, social media, and vendor management. Bachelor s degree in Marketing, Media & Communication, or related disciplines (preferred). Proficiency in Canva, Google Workspace (Docs, Sheets, Slides), and social scheduling tools like Meta Business Suite or Later. Strong skills in performance analytics and reporting. Excellent communication and stakeholder management abilities. Strong organizational skills, attention to detail, and the ability to juggle multiple priorities. A self-starter mindset with creativity, ownership, and initiative. Nice to Have Experience in podcast production or guest coordination. Exposure to employer branding and employee engagement programs. Familiarity with onboarding or internal communication best practices. Growth We foster a culture of curiosity, creativity, and continuous learning. Flex University: In-house learning opportunities. Learning Wallet: Reimbursement for external courses and certifications. Culture Weekly and quarterly engagement activities. Annual events and celebrations that bring our people together. Wellness Mediclaim coverage for you, your parents, spouse, and kids. Access to licensed therapists to support mental well-being and productivity. Work Culture: We work from our Mumbai office 5 days a week, promoting collaboration, creativity, and a vibrant team environment. If you re ready to shape how people experience work at Fynd this is your stage. Qualification : Bachelors degree in Marketing, Media & Communication, or related disciplines (preferred)

Sr. Manager Business Collaboration Location: Mumbai Experience: 2 8 Years Company: Tata Communications Employment Type: Full-Time About Tata Communications At Tata Communications, we are redefining global connectivity through innovation and intelligence. From Cloud and Mobility to Internet of Things (IoT), Unified Collaboration, Security, Media, and Network Services, we are building the next generation of digital infrastructure to support the New World of Communications. Role Overview We are seeking a Senior Manager Business Collaboration to lead and grow our Unified Collaboration product portfolio. This role will be responsible for product strategy, lifecycle management, GTM planning, and driving profitable growth. You will define the product roadmap, manage cross-functional development, and ensure exceptional customer experiences through product enhancements and digital journeys. This is a tactical and strategic role with direct influence on mid-term business outcomes, driving revenue, profitability, and competitiveness in the Unified Collaboration space. Key Responsibilities Product Ownership: Define product requirements and manage development from concept to launch. Own the product roadmap, delivery, and enhancements. Customer Experience: Collaborate with IT and operations teams to streamline the digital customer journey and improve CSAT scores through process and system improvements. Go-to-Market Strategy: Develop and execute product plans including value proposition, pricing, positioning, promotions, packaging, and sales enablement. Performance Tracking: Monitor product P&L, revenue, profitability, and market competitiveness. Provide accurate forecasting and reporting of product performance. Sales Support: Equip sales teams with tools, training, and guidance to communicate product value. Define pricing guidelines and assist in special solutioning when needed. Market Intelligence: Analyze local market dynamics, customer needs, and competition to refine offerings and maintain a strong market position. Cross-functional Leadership: Collaborate with marketing, engineering, IT, operations, and finance to align strategy and execution. Optional People Management: May lead a small team or act as an individual contributor, depending on the scope. Minimum Qualifications & Experience Bachelor's degree in a relevant field (MBA preferred). 2 8 years of experience in product management, preferably in Unified Collaboration or Telecom domains. Desired Skill Sets Strong understanding of product strategy, planning, and execution. Experience in go-to-market strategy, pricing models, and product positioning. Commercial acumen with the ability to analyze P&L and market data. Strong knowledge of local markets and customer behavior. Solution-oriented mindset with an end-to-end product view. Excellent communication, presentation, and stakeholder management skills. Experience working across cross-functional teams including sales, marketing, engineering, and operations. Familiarity with digital platforms and creating seamless customer journeys is a plus. Be part of a leading global digital ecosystem enabler. Drive cutting-edge innovation in cloud, connectivity, and collaboration. Collaborate with visionary leaders and global teams. Accelerate your career with impactful, high-ownership roles. Qualification : Bachelor's degree in a relevant field (MBA preferred)

Manager Financial Reporting & Compliance Location: Mumbai Experience: 3 7 Years Company: Tata Communications Employment Type: Full-Time About Tata Communications Tata Communications is redefining global connectivity through innovation, intelligence, and next-generation digital services. As a global leader in Cloud, Mobility, IoT, Security, Collaboration, and Network services, we are building a New World of Communications with deep technological expertise and transformative solutions that impact businesses worldwide. Role Overview We are looking for a qualified Chartered Accountant to join our Financial Reporting & Compliance team. In this operational role, you will be responsible for financial reporting, statutory compliance, and process implementation across financial systems and controls. Your contributions will directly impact the accuracy, transparency, and timeliness of financial outcomes for assigned accounts and business entities. Key Responsibilities Financial Reporting & Analysis: Prepare monthly Profit & Loss statements, conduct variance analysis, and present reports to management. Ensure accurate accrual accounting, including payroll and prepaid accounting. General Ledger & Reconciliations: Maintain GL hygiene by managing open item clearing in SAP. Review and ensure accurate bank reconciliations with minimal open items. Perform and review intercompany reconciliations and ensure correct accounting across entities. Intercompany Transactions: Raise and manage debit notes for intercompany charges. Track regular settlement of intercompany accounts. FX Revaluation & Audit Support: Analyze foreign exchange gain/loss and ensure accurate revaluation entries. Liaise with statutory auditors to support audit closure for assigned entities. Prepare balance sheets and required financial schedules. Compliance & Audit: Support internal and external audits, resolve auditor queries, and provide required documentation. Assist in Income Tax and Transfer Pricing returns filing and data preparation for statutory surveys. Support inputs for monthly and quarterly financial reviews. Minimum Qualifications Chartered Accountant (CA) with 3 to 7 years of post-qualification experience. Strong experience in controllership, financial reporting, and compliance. Desired Skills Proficient in Advanced Excel for financial analysis and modeling. Hands-on experience with SAP (preferably SAP HANA). Solid understanding of accounting standards, financial control, and reporting principles. Exposure to other finance domains (e.g., taxation, treasury) is a plus. Detail-oriented with excellent problem-solving and analytical skills. Familiarity with finance/statistical tools or audit management software is advantageous. Work with a globally recognized leader in digital infrastructure. Be part of a dynamic finance team driving regulatory compliance and financial integrity. Experience a collaborative, future-focused culture that invests in professional growth. Qualification : Chartered Accountant (CA)

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.

Job Title: Digital AI Manager Location: Mumbai Function: Supply Chain Procurement About Procurement at Unilever Unilever s Procurement team manages over 30 billion in global spend across 50,000+ suppliers. As part of the Supply Chain, Procurement is essential to delivering sustainably sourced materials and services, driving innovation with our partners, and ensuring our purpose-led brands thrive. Our global procurement organization of 1,400+ professionals supports a wide network, including more than 1.5 million smallholder farmers, impacting over 7 million lives. Guided by our Procurement Lighthouse Strategy, we focus on five pillars: Competitive Buying, Resilience, Partnerships, Sustainability, and Value Chain Excellence all powered by Digital and Technology. About the Strategy & Insights Team Established three years ago, the Procurement Strategy & Insights team serves as the nerve center of Unilever s global procurement function. With a vision of transforming knowledge and data into future-fit strategies, the team enables breakthrough transformation across tools, processes, and business models. The team includes: Strategy Team Drives strategic priorities across Business Groups (BG) and Power of One. Insights Team Leads data-driven programs and cross-functional initiatives. Digital Transformation Team Builds digital capabilities, tools, and data infrastructure. Data & AI Innovation Team Focuses on cutting-edge analytics, AI, and Procurement GPT solutions. Role Overview: Digital AI Manager B&W As Digital AI Manager B&W, you will lead the adoption and integration of digital and AI tools within Unilever Procurement. You will drive the implementation of mature AI/analytics solutions, champion digital adoption within the buyer community, and manage transformation initiatives aligned with our 4D Digital Lighthouse Strategy. You will also act as the Program Manager for the Procurement GPT Hero Use Case, helping scale innovative AI-driven solutions. Key Responsibilities 1. Drive 4D Digital Lighthouse Strategy Data Foundations: Enhance the Procurement Data Lake by integrating internal (Unilever Datalake, BDL) and external data (market intelligence, sustainability, resilience, etc.). Maintain a high-quality, accessible data catalogue. Advanced Analytics: Deliver scalable analytics use cases, build self-service analytics tools, and enable data-driven decision-making across key procurement programs. Tool Integration & Automation: Improve and integrate digital tools into the 7-step strategic sourcing process. Enhance the Buyers Console as the central hub for digital tools and services. Culture & Capability Building: Lead digital adoption programs, deliver training (e.g., DigiCon), and drive capability building across the procurement community. 2. Procurement GPT Program Collaborate closely with the Data & AI Innovation team on advanced AI use cases. Manage the transition of innovations into mainstream adoption and support scaled implementation. Key Stakeholders Procurement Leadership Team (UPLT) Head of Strategy & Insights Global Buyer Community UniOps External technology and AI partners Leadership Competencies Strong stakeholder management across complex, matrixed environments Expertise in change management and adoption strategies Skilled in agile project and program management Passion for digital innovation, transformation, and continuous improvement Required Experience Minimum 5 years experience in Unilever or similar FMCG environment Proven experience in digital transformation, analytics, or change leadership roles Track record of delivering strategic, cross-regional initiatives Ability to work in diverse, cross-functional, and global teams

Job Title: Senior Manager Data Analytics Department: PDM Strategy & International Business Base Location: Mumbai Reporting To: Head Strategy & Analytics / Senior Leadership Team Experience Required: 10 12 Years (Relevant experience in BI, data analytics, and team management) Qualification: Bachelor's or Master s Degree in Computer Science, Data Engineering, or related field Role Overview: The Senior Manager Data Analytics will lead end-to-end Business Intelligence (BI) initiatives, with a focus on building a robust and scalable reporting platform using Power BI and the MSBI stack. The role requires deep expertise in data visualization, team leadership, ETL development, and data architecture design. This position plays a key strategic role in transforming how data is used across the organization empowering faster, data-driven decisions across functions like Sales, Investments, Risk, Compliance, and HR. Key Responsibilities: 1. BI Project Delivery & Visualization Lead and ensure timely execution of BI and data analytics projects. Deliver actionable, real-time dashboards and reports for internal business teams. Transform existing Power BI platform into a world-class analytics and visualization hub. Create dashboards that are intuitive, engaging, and built for decision support. 2. Stakeholder Engagement & Strategy Alignment Collaborate with senior leadership and functional heads to understand business problems and convert them into analytical models and reporting tools. Serve as a thought partner and SME for business users across the SBIFM landscape. Present visualizations and insights to senior stakeholders to influence strategy. 3. Team Management Lead, mentor, and manage a team of 15 20 developers and analysts focused on MSBI and Power BI. Oversee day-to-day development tasks, performance reviews, and upskilling initiatives. Foster a data-driven culture and best practices in dashboard design and reporting. 4. Data Architecture & Engineering Design and optimize backend architecture for scalability and agility using ETL tools and data warehousing techniques. Ensure strong data governance, security, and quality standards across reporting systems. Implement real-time data pipelines and integration with cloud technologies such as Azure and Snowflake (desirable). 5. Cross-Functional Collaboration Work closely with multiple departments: Sales, Operations, Finance, Compliance, Risk, and HR. Drive continuous improvement in data access, quality, and utility for all functions. Create and maintain a centralized reporting infrastructure aligned with enterprise data strategy. 6. Business Impact & Decision Support Enable smarter and faster decision-making by delivering meaningful insights. Drive revenue growth and deal conversions through better business intelligence. Support predictive analytics, customer segmentation, and performance dashboards. Mandatory Technical Skills: MSBI Stack (SSIS, SSRS, SSAS) Power BI Advanced Dashboarding and Visualization ETL Development Tools Experience with report automation, KPI frameworks, and interactive dashboards Desirable Technical Skills: SQL Programming & Data Modeling Cloud Data Platforms: Azure, Databricks, Snowflake Familiarity with data lake concepts, CI/CD pipelines, and DevOps for data analytics Key Competencies: Leadership & Team Building Strong ability to manage cross-functional data teams Business Acumen Ability to understand and align data solutions to business strategy Communication Strong presentation and stakeholder management skills Analytical Thinking Problem-solving mindset with attention to data accuracy Project Management Ability to handle multiple projects in an agile environment Job Summary: The Senior Manager Data Analytics is a strategic leadership role focused on building and managing a robust data reporting ecosystem within SBIFM. This role blends technical expertise with business intelligence to deliver impactful analytics, drive operational efficiency, and support senior leadership in data-driven decision-making. A critical enabler of growth and innovation, this position is ideal for a high-performing individual who thrives at the intersection of technology, data, and business. Qualification : Bachelor's or Masters Degree in Computer Science, Data Engineering, or related field

Position: Data Analyst Location: Mumbai, India Division: Data & Analytics / Marketing About the Role As a Data Analyst within the Blenheim Chalcot portfolio and Oakbrook, you will be crucial in driving data-driven insights for our consumer lending business. You will analyze marketing performance across direct and third-party aggregator channels, helping optimize spend and strategy. Your work will involve building and maintaining dashboards (SQL, Power BI), monitoring campaign and product performance, and ensuring channel efficiency. Key Responsibilities Campaign & Channel Performance Analysis Track and analyze marketing campaigns (paid search, social, email, display, aggregators). Measure key conversion metrics: impressions → clicks → applications → approvals → disbursals. Identify underperforming campaigns/channels and recommend improvements. Aggregator Performance Monitoring Monitor lead volume, quality, and conversion rates from aggregators (e.g., Clear Score, Compare the Market). Benchmark aggregator ROI and provide actionable insights for partner management. Product Performance Tracking Analyze application, approval, and disbursal trends by product type. Segment performance by demographics, channel, and credit risk tiers (prime, near-prime, non-prime). Identify opportunities for product/pricing optimization. Dashboard Development & Reporting Design and maintain interactive dashboards using SQL and Power BI. Ensure data accuracy and real-time performance tracking. Present weekly/monthly reports and insights to marketing, finance, and product teams. Customer Journey & Funnel Analysis Analyze drop-off points in the customer journey. Collaborate with CRO and UX teams to improve application flows. Support A/B testing with data analysis. Marketing Data Governance Ensure campaign tagging and data standards across platforms (GA, CRM, ad networks). Collaborate with data engineering on data quality and pipeline improvements. About You Technical Skills: Advanced SQL skills (complex queries, joins, CTEs) on relational databases (Snowflake, Big Query, Redshift). Proficient in Power BI (dashboard design, KPI visualization, DAX calculations). Strong Excel/Google Sheets skills (pivot tables, VLOOKUP/XLOOKUP, array formulas). Data cleaning and preparation expertise; familiarity with Alteryx or Python/Pandas is a plus. Understanding of UTM tracking, campaign attribution models, and analytics platforms (Google Analytics, Adobe Analytics). Experience with A/B testing and statistical analysis. Familiarity with CRM and marketing platforms (Google Ads, Meta, email/SMS tools). Awareness of GDPR and data governance best practices. Non-Technical Skills: Commercial awareness in lending context (customer acquisition cost, ROI, bad debt rates). Ability to translate data insights for non-technical stakeholders (marketing, finance, compliance). Strong attention to detail and problem-solving mindset. Excellent time management balancing regular reporting and ad-hoc analysis. Curious and proactive in identifying trends and opportunities. Collaborative working style across marketing, product, risk, and data teams. About Blenheim Chalcot & Oakbrook Blenheim Chalcot is a world-leading digital venture builder with over 26 years of experience creating disruptive businesses in FinTech, EdTech, GovTech, and more. Our India team plays a vital role in our success, fostering innovation and entrepreneurship since 2014. Oakbrook, a fast-scaling FinTech venture in our portfolio, leverages advanced analytics and technology to provide personalized consumer lending solutions. We aim to simplify borrowing with fair, data-driven credit access tailored to individual customers. Join the world s leading digital venture builder. Work with a diverse, talented team in a culture of continuous learning and innovation. Opportunity to work on Gen AI-enabled cutting-edge solutions. A fun, open, and cricket-enthusiast environment (home of Rajasthan Royals IPL team!). 24 days annual leave + 10 public holidays. Private medical insurance for you and your family & life insurance coverage. Our Commitment We value diversity and inclusion, fostering a culture where everyone s skills and talents can thrive. We recruit, develop, and promote based on merit and competence, driven by curiosity and collaboration. Join us to make an impact in a data-driven, fast-paced environment.

Position: Lead Data Engineer Location: Mumbai, India (Hybrid 4 days onsite) Division: Engineering | Full-Time About Blenheim Chalcot Blenheim Chalcot is one of the world s leading digital venture builders. For over 20 years, we've been building disruptive, GenAI-enabled companies across industries such as FinTech, EdTech, GovTech, Media, and Sport. Headquartered in London, we operate globally, with a rapidly growing team in India that supports innovation, growth, and technical excellence across our portfolio. Blenheim Chalcot India, launched in 2009, is a central force behind our success. Our team delivers core services across technology, marketing, HR, finance, legal, and more serving as a powerful launchpad for ventures shaping global trends. About Fospha Fospha is a rapidly growing marketing measurement platform for eCommerce brands. We re certified partners of Meta, TikTok, and Snap, and have earned a reputation for helping some of the world s most well-known D2C brands unlock measurable growth. With product-market fit secured and award-winning success behind us, we re expanding globally and looking for top engineering talent to power our next phase of scale. The Role: Lead Data Engineer We re hiring a Lead Data Engineer to oversee the design, implementation, and performance of scalable ELT pipelines and data infrastructure. This is a hands-on leadership role, ideal for an experienced engineer who excels at building systems, mentoring teams, and driving business value through clean, reliable data. You will lead technical delivery in partnership with analysts, ML engineers, and stakeholders, ensuring data remains a strategic asset across Fospha s product suite. Key Responsibilities Lead and mentor a team of Data Engineers, cultivating a collaborative and high-performance environment. Own the end-to-end delivery of data engineering projects architecture, execution, quality, and scalability. Design and implement robust ELT pipelines using modern tooling and cloud infrastructure. Maintain and enhance data models used by analysts, ML engineers, and product teams. Collaborate across engineering, product, and analytics to define data requirements and delivery roadmaps. Ensure data integrity, reliability, and governance across multiple sources and systems. Contribute to exploratory data analysis, schema evolution, and pipeline optimizations. Identify and implement continuous improvements to processes, tools, and team workflows. Stay abreast of industry trends and emerging tools in data engineering and architecture. About You Required Experience & Skills Proven experience leading data engineering teams with end-to-end technical ownership. Expert-level knowledge of SQL (especially PostgreSQL) and relational databases. Proficiency in Python for data manipulation and scripting. Strong understanding of data pipelines, architecture, and ELT/ETL design. Familiarity with agile software development practices. Preferred Experience Experience using dbt (Data Build Tool) in production environments. Familiarity with AWS data services (e.g., Redshift, S3, Glue, Athena). Exposure to data modeling, statistics, or data science-friendly data design. Education Bachelor's or Master s degree in Computer Science, Engineering, or a related technical discipline. Join the world s leading venture builder, working on GenAI-enabled, high-growth startups. Hybrid work setup: 4 days onsite in our modern Mumbai office. Learn from diverse, top-tier global talent across engineering, data, and product. Culture of continuous learning, mentorship, and rapid innovation. 24 days of annual leave, 6 floater days, and 4 public holidays. Private medical insurance for you and your immediate family. Inclusive parental leave policies and a family-first work culture. A fun and collaborative environment we also own the Rajasthan Royals IPL team! Our Commitment to Diversity At Blenheim Chalcot, inclusion and meritocracy are at the core of our culture. We believe diversity drives better outcomes, and we are committed to fostering a workplace where everyone can thrive and make the most of their skills and potential. Application Process Our streamlined hiring process starts with a 15-minute introductory call, followed by interviews with our engineering leadership. We respect your time and aim to provide prompt, clear communication throughout. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or a related technical discipline.

Data Integration Specialist Python Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all major liquid asset classes. We are a technology-first, data-driven firm, combining deep domain expertise with advanced research and innovative tools to solve complex challenges. Our collaborative culture fuels continuous innovation and a shared commitment to delivering exceptional performance. Your Role at QRT As a Data Integration Specialist, your core mission is to manage and optimize the vast array of datasets that power QRT s research and trading platforms. You will work at the intersection of data engineering and financial markets, ensuring that structured and unstructured data from diverse sources is accessible, reliable, and efficiently integrated. Key Responsibilities Data Pipeline Management: Design, implement, and maintain robust data ingestion and integration pipelines for large-scale financial and alternative datasets. API Development: Contribute to the design and implementation of QRT s internal data store and its API for consumption by research and trading systems. Data Monitoring: Proactively monitor data health and the performance of fetching processes to ensure data quality and availability. Alternative Data Integration: Identify, onboard, and normalize non-traditional datasets into QRT s ecosystem for alpha discovery and research. User Support: Act as a point of contact for quantitative researchers and traders regarding data access, integrity, and customization needs. Required Experience & Skills Experience: 2 10+ years of relevant experience in data engineering, data integration, or financial data operations. Programming: Advanced proficiency in Python is mandatory. Experience or familiarity with C#, Rust, or JavaScript is a plus. Data Handling: Proven experience working with large-scale structured and unstructured datasets. Exposure to modern data technologies including data lakes, data mesh, or cloud-based data platforms. Finance Domain: Experience with financial instruments, market data feeds, and major data vendors (e.g., Bloomberg, Refinitiv) is advantageous. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and collaboratively in a global, fast-paced environment. Excellent English communication skills, both written and verbal. Nice to Have Prior experience in a quantitative research or trading-focused organization. Familiarity with data modeling, ETL frameworks, or real-time data streaming. What QRT Offers Work in a cutting-edge technical environment at the forefront of quantitative finance. Exposure to a diverse range of global financial data and complex integration challenges. A collaborative, intellectually rigorous culture that values innovation and continuous learning. Competitive compensation and benefits. Support for professional development, work-life balance, and diversity and inclusion.

Data Scraping Specialist Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating in all major liquid asset classes. We are a data and technology-driven firm applying a scientific and collaborative approach to investing. By integrating data science, engineering, and quantitative research, we solve complex financial challenges and deliver robust investment strategies. Role Overview As a Data Scraping Specialist, your primary objective will be to design, develop, and maintain scalable web scraping systems to support QRT s quantitative research and trading efforts. You will be responsible for managing a diverse range of data sources and working closely with researchers and traders to ensure seamless data availability and integration. Key Responsibilities Web Scraping Development: Build and maintain robust, scalable web scraping tools to extract structured and unstructured data from diverse online sources. Data Integration: Contribute to integrating internal and third-party datasets into QRT s research and trading platforms. Monitoring & Maintenance: Monitor data pipelines, ensure data health, and address failures or inconsistencies in data ingestion workflows. User Support: Collaborate with quantitative researchers and traders to understand their data requirements and provide customized data solutions. Best Practices: Apply software engineering best practices, including code quality, version control, and modular design, to scraping systems. Requirements & Qualifications Experience: 4+ years of hands-on experience in developing and maintaining web scraping frameworks. Proven ability to handle complex scraping projects at scale. Technical Skills: Strong Python proficiency is essential. Experience with scraping tools and libraries (e.g., Scrapy, Selenium, BeautifulSoup, Puppeteer). Familiarity with headless browser automation and CAPTCHA-solving techniques. Working knowledge of RESTful APIs and data pipelines. Soft Skills: Strong communication skills in English, both verbal and written. Ability to work independently and collaboratively across global teams. Demonstrated intellectual curiosity and willingness to learn new technologies. Bonus Points: Experience handling structured and unstructured data at scale. Knowledge of financial market data, including equities or derivatives. Familiarity with version control (e.g., Git), Docker, and cloud infrastructure. What QRT Offers An opportunity to work at the intersection of technology, data, and finance in a high-impact role. A collaborative and innovation-driven environment where your ideas are valued. Professional growth with access to new technologies and research applications. Competitive compensation and benefits tailored to attract top-tier talent. Work-life balance initiatives and a commitment to diversity and inclusion.

Quantitative Data Analyst Location: Mumbai About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT s collaborative mindset which enables us to solve the most complex challenges. QRT s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an exceptional Quantitative Developer / Analyst to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency. Your future role within QRT This team is integral to the firm s success. As such, your responsibilities will include: Sourcing, designing and onboarding new datasets according to trading desks priorities Becoming an expert on QRT s internal tools to help the relevant desks efficiently, using data in production of trading systems Proactively solving data related problems in order to minimize time to production Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production Your present skillset Advanced programming experience in Python. C/C++, C# is a plus 3+ years of experience as a Data Engineer/Analyst/Scientist Prior experience working with commodities data is a must Post-Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics Capacity to work with autonomy within a global team (researchers and data engineers) Experience with Bloomberg/Reuters data ecosystems A keen interest in financial markets, data analysis, and programming Fast learner, intellectual curiosity, problem solver Ability to work in a high-performance, high-velocity environment Excellent communication skills, both written and verbal QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Software Engineer Data Platform Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. Our technology-driven and research-focused culture enables us to solve complex challenges and deliver high-quality returns for our investors. Innovation and collaboration are at the heart of everything we do. Your Future Role at QRT We are seeking a highly skilled Software Engineer to join our Data Engineering team. You will contribute to designing, building, and scaling our data platform with a focus on developing a new data pipeline framework. Your work will directly impact our trading and research capabilities, collaborating with engineers and researchers to create robust, scalable solutions. While prior experience with financial data is a plus, it is not mandatory. We welcome talented developers from diverse backgrounds and provide comprehensive training. Key Responsibilities Design, develop, and maintain scalable and robust data services following best software engineering practices. Write automated tests to ensure reliability and support continuous delivery and integration. Maintain and scale delivery and integration pipelines. Develop reusable libraries and tools to enhance the Data Engineering team s productivity. Collaborate effectively with cross-functional teams, including researchers and engineers, to propose and implement new features in the data platform framework. Your Present Skillset Strong programming skills with a passion for software design and architecture, preferably in Python. Experience with testing frameworks and continuous integration/continuous deployment (CI/CD) pipelines. Familiarity with SQL and relational database concepts. Knowledge of modern data lake and lakehouse technologies such as Apache Iceberg, Delta Lake, or Snowflake. Excellent communication skills and ability to work collaboratively in a small, close-knit team environment. Experience with cloud platforms, preferably AWS. Fluency in English (written and spoken). Work in a technology-driven environment focused on innovation and impact. Equal opportunity employer embracing diversity and inclusion. Supportive culture encouraging professional development and work-life balance.

Job Title: Manager Business Development Location: Mumbai, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a leading consumer technology company operating innovative platforms such as Glance, Roposo, and Nostra. Glance s smart lock screen inspires users by delivering personalized content without needing to search or download apps, reaching over 400 million smartphones worldwide. Roposo is a live streaming platform that transforms live experiences with immersive creator-led content, and Nostra is the largest gaming platform in India and Southeast Asia. At Glance, we encourage you to be bold, think big, and pursue your passion. Join a team of ambitious peers and contribute to mission-critical projects from day one. Enjoy autonomy balanced with collaboration, access to cutting-edge tech, and comprehensive well-being benefits including meals, gym, training, and a pet-friendly workplace. Role Overview We are looking for a dynamic and entrepreneurial Manager Business Development to join our ecommerce/dropshipping business. This role is vital to expanding our product sourcing operations, building strategic partnerships, and driving revenue growth by developing and executing sourcing strategies and negotiating with suppliers. Key Responsibilities Identify and Cultivate Partnerships Research, identify, and onboard potential business partners, suppliers, and affiliates in ecommerce and dropshipping. Initiate communication, negotiate terms, and build long-term mutually beneficial relationships. Strategic Planning Develop and execute sourcing strategies that drive business growth and expand market presence through hero product sourcing. Collaborate with management to set objectives, define KPIs, and create actionable plans to meet targets. Market Analysis Conduct in-depth market research to identify trends, competitor activities, and growth opportunities. Use insights to inform and steer strategic initiatives. Revenue Optimization Implement strategies to enhance revenue streams, improve profitability, and boost sales conversion by frequently introducing new and hero products. Monitor key performance metrics, analyze data, and refine strategies accordingly. Business Expansion Explore new market opportunities and develop scalable plans to enter new segments. Evaluate risks and market entry approaches for sustainable growth. Collaboration & Cross-Functional Leadership Work closely with marketing, operations, and product teams to align efforts and meet company goals. Lead and support cross-functional initiatives ensuring smooth execution and impact. Qualifications Master s degree in Business Administration, Marketing, or a related field (preferred). Proven success in business development, sourcing, sales, or partnership management in ecommerce/dropshipping sectors. Strong knowledge of ecommerce trends, technologies, and industry best practices. Excellent communication, negotiation, and interpersonal skills. Strategic and results-driven thinker with the ability to thrive in a fast-paced environment. Analytical mindset with strong data analysis and interpretation skills. Entrepreneurial attitude with passion for innovation and business growth.

Job Title: Data Collection Transformation Senior Associate Location: Mumbai Experience: Relevant experience in data acquisition, ESG data management, process automation, and data quality. Company: MSCI About MSCI: MSCI is a global leader in decision-support tools and services for the investment community. With over 50 years of expertise in research, data, and technology, we help clients understand key drivers of risk and return, enabling them to build more effective portfolios with enhanced transparency. At MSCI, we foster a culture of innovation, high performance, and inclusion, empowering our people to grow their careers through continuous learning and a wide range of internal mobility opportunities. Your Team: The ESG Data Collection team plays a critical role in acquiring, validating, and maintaining high-quality ESG data that powers MSCI s ESG products. As part of this team, you will work at the forefront of MSCI s ESG transformation agenda, driving projects that enhance data quality, scalability, and automation to meet the evolving ESG landscape and its growing importance in global financial markets. Your Key Responsibilities: Collaborate with internal ESG Research and Technology teams to design and operationalize data collection processes aligned with evolving ESG and Climate frameworks. Work on electronification of ESG policies and principles by converting them into structured, operational data definitions. Develop data collection templates and translate them into implementable data models. Conduct hands-on research and analysis of company disclosures to support scalable data collection solutions. Analyze collected and third-party datasets to detect patterns and trends, enabling development of automated anomaly detection frameworks. Design and implement contextual/thematic QA checks to strengthen data quality controls, leveraging historical data correction patterns. Collaborate with technology teams to build NLP-driven data extraction models (leveraging both traditional methods and LLMs) to automate identification and extraction of relevant ESG facts from disclosures. Help establish and optimize new data collection processes while ensuring seamless integration with existing workflows. Deliver high-quality data aligned with MSCI methodology, service-level agreements, and regulatory requirements. Contribute to creating methodology and SOP documentation, embedding data and content expertise into internal processes. Drive process automation by developing tools and systems for automated data quality diagnostics, reducing manual intervention. Build dashboards and reports to visualize data quality metrics, identify outliers, and provide data-driven recommendations to stakeholders. Partner with internal stakeholders, including downstream teams, Research, and Product teams, to understand data requirements and ensure seamless delivery. What We re Looking For: Strong analytical mindset with a keen attention to detail. Hands-on experience with Python/SQL for data analysis and process automation; exposure to Machine Learning/RPA is a plus. Experience working with visualization tools such as Power BI. Advanced Excel skills, with the ability to manipulate and analyze complex datasets. Self-starter with strong problem-solving abilities, capable of working in unstructured environments. Strong collaboration and communication skills, with comfort working across hierarchies, functions, and geographies. Previous experience in Financial Services, Technology, or Business Analysis, ideally with exposure to ESG data. Basic understanding of financial markets and asset classes; ESG knowledge would be a significant advantage. Preferred Qualifications: Bachelor s or Master s degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field. Certifications in ESG, Sustainable Finance, or Data Analytics are a plus. What We Offer: Transparent compensation and comprehensive benefits tailored to your location. Flexible work options and access to cutting-edge technology. A culture of learning and development, with access to LinkedIn Learning Pro and Learning@MSCI. Clear career progression paths with opportunities for internal mobility and leadership development. A global network of talented colleagues, supported by inclusive Employee Resource Groups like Women in Tech, Climate Action Network, and more. Qualification : Bachelors or Masters degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field.

Job Title: Azure Kubernetes Service (AKS) Engineer Experience: 6 to 9 years Location: Mumbai About Capgemini: Choosing Capgemini means joining a company where you can shape your career, collaborate with a global community, and contribute to innovative solutions. We empower our teams to unlock the value of technology, creating a more sustainable and inclusive world. Role Overview: We are looking for an experienced Azure Kubernetes Service (AKS) Engineer to design, deploy, and optimize Kubernetes-based solutions on Azure Cloud. The ideal candidate will have a strong background in containerization, cloud infrastructure, DevOps practices, and automation. Primary Responsibilities: Azure Kubernetes Service (AKS) & Containerization: Design, deploy, and manage Azure Kubernetes Service (AKS) clusters. Implement best practices for container orchestration and microservices architecture. Work with Docker to containerize applications efficiently. Cloud & Infrastructure as Code (IaC): Manage Azure cloud resources using Azure Resource Manager (ARM), Terraform, and Bicep. Optimize Azure environments for performance, security, and scalability. Automate infrastructure provisioning and deployment using CI/CD pipelines. DevOps & CI/CD: Implement CI/CD pipelines using Jenkins, GitLab CI, or Azure DevOps. Manage application releases and deployments with Helm charts. Improve system reliability, scalability, and performance through automation. Monitoring & Security: Configure and maintain monitoring and logging tools such as Prometheus, Grafana, and Azure Monitor. Implement networking, authentication, and security best practices in AKS and Azure environments. Troubleshoot and debug AKS, Kubernetes, and containerized applications. Secondary Skills: Experience with Helm for managing Kubernetes packages. Knowledge of Agile methodologies and DevOps best practices. Capgemini is a global leader in technology and business transformation, with over 340,000 professionals across 50+ countries. We deliver end-to-end solutions powered by AI, cloud, and data, helping clients accelerate digital and sustainable innovation. With a 55+ year legacy, we are trusted by global enterprises to drive meaningful impact. Join us and be a part of an inclusive, collaborative, and innovative team!