Analytics jobs Bangalore

Drive data, analytics, and AI strategy globally.

Build governance, platforms, and a data-driven culture

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.

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 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 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 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 AI Engineering Director will lead the analytics department in developing and implementing AI-driven solutions to enhance business performance in the CPG/FMCG sector. This role requires expertise in analytics and a strategic mindset to drive innovation and efficiency in the beverages and alcohol segment.

This role focuses on building production‑grade applied AI systems, including LLM applications, RAG pipelines, and AI agents. You will work across data, reasoning, and backend systems to deliver personalized learning experiences at scale.

This role involves building and deploying production‑grade ML systems and agentic AI workflows that drive real‑time decision‑making. You will work across data, modeling, and deployment to power an AI platform used by global consumer tech companies.

This role leads the end‑to‑end data science and AI charter, owning recommendation, personalization, GenAI, and real‑time ML systems across consumer platforms. It is a foundational leadership position responsible for building teams, platforms, and AI strategy at massive scale.

The Principal Data Scientist will design, build, and optimize advanced NLP, computer vision, and LLM‑powered systems that automate permitting and regulatory workflows for a leading GovTech platform. The role combines deep technical ownership with strategic leadership, driving AI innovation that directly shapes product direction and government efficiency at scale.

The Senior Data Scientist will own end‑to‑end development of machine learning models that power their cutting‑edge, human‑like voice AI used across major BFSI enterprises. The role involves building scalable NLP and speech intelligence systems, optimizing real-time conversational performance, and driving innovation in a fast‑paced, high‑ownership startup environment.

The Head of AI will oversee the road-map and implementation of AI-driven solutions within the organization, ensuring alignment with business objectives. This role requires a strategic thinker with a strong background in VLM (Vision Language Models), Machine Learning, and NLP.

The role of the AI COO in the Analytics department involves overseeing and governing implementation of AI-driven strategies to enhance business operations. Operational Excellence frameworks, resource management, program management etc will be broader charter to achieve profitability.

The Senior Data Scientist role in the financial services consultancy industry involves building advanced analytical models to solve business problems and drive data-driven decision-making. This position in Bangalore offers the opportunity to contribute to the analytics department with impactful insights and strategies.

This role sits within a global Treasury Center of Excellence focused on strengthening liquidity, risk, and cash management through technology-driven transformation. The position combines treasury domain expertise with systems deployment, analytics, and process automation to enhance reporting, forecasting, and decision-making capabilities.

Conduct deep market, industry, and financial analysis-leveraging primary/secondary research and advanced data analytics-to identify trends, evaluate opportunities, and assess risks. Synthesize insights into clear reports, models, and presentations while collaborating with cross‑functional teams and monitoring industry developments to support investment decisions.

The Manager Data Engineer will play a critical role in building and maintaining data pipelines, ensuring data quality, and enabling analytics within the FMCG industry. This position is based in Bangalore, focusing on driving data solutions to support business objectives effectively.

The Head of Compensation & Benefits will design, implement, and steer the organisation's global compensation philosophy. The role requires deep expertise in reward strategy, modelling, analytics, and governance, with the ability to operate in a dynamic, high‑growth environment.