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The Data Analytics Lead role in the Financial Services industry focuses on leveraging analytical skills to provide insights and solutions within the Fund Management sector. This position, based in Mumbai, requires a professional to manage and optimise analytics processes to support data-driven decision-making.
The role of a Fraud Strategist involves analysing data to develop strategies that prevent fraudulent activities. This position requires strong analytical skills and expertise in fraud prevention within the Services sector.
Drive data, analytics, and AI strategy globally.Build governance, platforms, and a data-driven culture
This role involves working on cutting-edge analytics within the technology and telecoms industry, focusing on delivering insights and solutions through Salesforce Analytics. Based in Pune, the position is ideal for professionals passionate about leveraging data to drive business success.
The Chief Technology Officer (CTO) will lead the technology strategy and oversee the development of innovative solutions in the Financial Services sector. This role focuses on driving technological advancements to support the organisation's goals in Credit Risk Analytics
We are seeking a Senior Clinical Data Analytics Engineer with expertise in analytics to join our team in Mumbai Suburban. The ideal candidate will be responsible for leveraging data analytics to support clinical insights and deliver impactful solutions in the technology and telecoms industry.
The Lead Rural Analytics position involves developing and implementing analytics strategies to enhance decision-making in the financial services sector, specifically retail banking and loans. This role is based in Bandra (East), Mumbai, and focuses on leveraging data insights to drive business outcomes in rural markets.
The VP Digital Analytics will be responsible for leading data-driven initiatives to optimise customer experiences and drive business strategies within the financial services industry. The role requires expertise in analytics and a deep understanding of retail banking and loans providers.
The position is a senior leadership role within the Client's data science organization, responsible for driving strategic analytical solutions, nurturing a high‑performing team, and shaping the company's growth. It requires deep client engagement, problem‑solving expertise, and the ability to convert complex business challenges across multiple industries into scalable data‑driven solutions.
The Head of Data Sciences, Analytics and BI will be responsible for leading data-driven decision-making processes and enhancing business intelligence capabilities within the organization. This role requires expertise in analytics and a strong background in managing data science projects in the Transport & Distribution industry
Seeking a Data Science and Analytics Manager to lead a team of 10-15 talented data analysts and engineers. This role is central to driving strategic analytics initiatives across our global operations, with a strong focus on supply chain, manufacturing, and semiconductor equipment processes.
The Sr Director - Analytics will oversee analytics operations to provide insights and strategic recommendations within the FMCG industry, specifically in the Food - FMCG sector. The role is based in Hyderabad and requires expertise in leveraging data to drive business outcomes.
Design and deploy scalable GenAI systems for analytics use cases.Partner with teams to power next‑gen decision intelligence.
The AI Tech Lead will deliver intelligent systems from architecture to production at scale. They should be skilled in designing robust AI platforms, data pipelines, and MLOps frameworks, with strong focus on scalability, reliability, and performance optimization. They should also have experience in applying advanced techniques across machine learning, deep learning, NLP, and GenAI (including RAG and LLM-based systems), while embedding responsible AI practices.
The role of Associate - Risk in the Financial Services industry focuses on leveraging data analytics to identify, assess, and mitigate risks. This position is based in Bangalore and requires a strong analytical mindset to support decision-making processes.
The AI Product Manager will lead the development and implementation of AI-driven solutions within the energy and natural resources industry, focusing on the gas sector. This role is based in Bengaluru and requires expertise in analytics to drive innovation and optimize business processes.
The role of MD - Data & AI involves leading data-driven strategies and leveraging AI to enhance operational efficiency in the transport and distribution industry. Based in Chennai, this position requires expertise in analytics and a strong understanding of third-party logistics.
The Business Analyst, Implementations will work closely with both client IT teams and internal technical teams to acquire, configure, and integrate healthcare data for revenue cycle management projects. This role involves data mapping, building data parsers, and ensuring internal systems are customized to meet client requirements. The ideal candidate will bridge functional and technical needs, ensuring seamless data flow and successful project delivery.
The role will influence the growth of the business by creating and framing CMI strategy. The incumbent will lead a team of experts to drive consumer centricity, deep insights generation and competitive intelligence across all business divisions and categories
The Gen AI (SPC) role in the renewable energy sector involves leveraging advanced analytics to optimise operations and enhance efficiency. This position is based in Pune and requires expertise in analytics to support data-driven decision-making.
The role of Manager ML Engineering involves developing and deploying machine learning solutions to address complex business challenges within the FMCG sector, particularly in the Beverages & Alcohol segment. The position is based in Bengaluru Urban and requires expertise in analytics and machine learning technologies to drive data-driven decision-making.
The Data Analyst role in the retail industry requires strong analytical capabilities to interpret data and provide actionable insights that drive business decisions. This position is based in Shanghai and involves working closely with the analytics department to optimise performance.
The Head of Data will be responsible for leading and overseeing all data-driven initiatives within the organisation, ensuring the effective use of analytics to support strategic goals. This role requires strong expertise in data management, analytics, and the ability to drive actionable insights in the leisure, travel & tourism industry.
The Head Center of Excellence AI will lead the strategic development and implementation of artificial intelligence initiatives within the organization. This role involves leveraging advanced analytics to drive innovation and operational excellence in the automotive industry.
Day to day support the delivery of assurance work conducted by our auditors by providing in-depth and insightful analysis of available risk and business data, as well as helping develop the function's use of analytical tools across the entire range
The Senior AI Engineer will play a critical role in developing and implementing cutting-edge AI solutions to support various business needs. This position, based in Hyderabad, requires a strong technical background and expertise in artificial intelligence within the technology industry.
The Digital & AI Initiative Lead will be responsible for driving the adoption of digital tools and AI technologies within the FMCG sector, specifically in the food industry. The role requires expertise in analytics and the ability to lead projects that enhance operational efficiency and decision-making.
The position of AD - AI Ops involves leading analytics and artificial intelligence operations within the FMCG sector, specifically focusing on beverages and alcohol. The role is based in Bangalore and requires strong expertise in analytics to drive data-driven decisions.
The Senior Data and AI Officer will play a pivotal role in driving enterprise-wide adoption of AI-powered productivity tools, including generative AI assistants, workflow automation platforms and will design and execute AI enablement roadmaps that embed AI into daily workflows to enhance efficiency, collaboration, and data-driven decision-making.
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