Analytics jobs Bangalore

Join our Digital & Analytics practice. If you have 3-6 years of B2B Tech/AI/ML sales experience or a proven recruitment background, we'd love to connect.

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.

Drive customer analytics through advanced machine learning.

Build predictive models to improve growth and retention

As a Manager in Data Analytics, you'll focus on analysing data to provide insights that support decision-making in the metal industry. Based in Bengaluru, you'll work on creating reports, identifying trends, managing teams and helping organization in improving processes.

As a D&A Engineer Front Office, you'll work on developing and managing data and analytics solutions.

Your role will focus on ensuring smooth data operations and delivering insights that support decision-making.

Lead IBP and supply chain planning transformation through technology.

Drive optimization, analytics and digital innovation across operations.

As a Computer Vision Engineer, you'll design and develop computer vision solutions, focusing on analysing image and video data to solve practical problems. You'll work on creating algorithms and models to enhance visual data processing.

As a Senior Manager, Data Stewardship & Quality, you will oversee data governance and ensure data accuracy and consistency. You will work closely with teams to maintain data quality standards and support analytics initiatives.

The Head AI will lead the analytics department, driving AI initiatives to enhance decision-making and operational efficiency within the chemical industry. This role is based in Mumbai and requires a strategic thinker with expertise in artificial intelligence and its application in industrial and manufacturing contexts.

This role focuses on driving supply chain transformation by working closely with business teams implementing planning solutions and ensuring adoption. You'll act as the bridge between business and tech translating requirements into scalable outcomes

It's a high-ownership individual contributor role involving stakeholder management vendor coordination end-to-end delivery with a strong focus on business impact rather than pure technical execution

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.

This role will design, build and scale an enterprise-grade AI agent that reasons over workforce data to deliver trusted operational and productivity insights. The successful candidate will own the full AI stack, from agent orchestration and RAG architecture to evaluation frameworks, observability and production reliability.

This role combines advanced data science, machine learning, and software engineering to develop innovative AI-driven solutions. The successful candidate will help deliver predictive models, Generative AI applications, and production-grade software while collaborating across product and engineering teams.

This is a hands-on AI Engineering Lead role responsible for building and leading a team developing agentic AI platforms, intelligence engines, and AI-powered productivity governance products. The position combines technical leadership, architecture ownership, people management, and the opportunity to define how AI-native software is built across the organisation.

Lead AI Engineering, ML Engineering and MLOps for a global GCC.

Build teams, scale GenAI delivery and own enterprise AI platforms.

• Lead enterprise analytics, AI/ML and automation delivery teams.
• Drive business transformation through data and leadership.

The Lead Research Engineer, Applied ML role is a senior technical leadership position responsible for owning end-to-end machine learning and LLM workstreams focused on oncology clinical data and healthcare AI applications. The role combines hands-on ML development, architectural leadership, mentoring, and cross-functional collaboration to deliver production-grade AI systems at scale.

Looking for a Data Science Tech Lead to lead analytics-driven operational decision-making at the intersection of data science, business analytics, and operations management.

This role combines strategic leadership, stakeholder management, team development, and analytical problem-solving to drive measurable business outcomes.

This role as a Senior AI Engineer in the Financial Services industry focuses on developing and implementing advanced AI models to enhance business analytics and decision-making. Based in Bangalore, the position requires expertise in AI technologies to deliver innovative solutions for financial consultancy challenges.

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.

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.

As a Manager - Data Engineering, you will lead a cross-functional delivery team in building and maintaining the framework and platform capabilities that drive our data pipelines and analytics solutions. You will take design ownership of individual projects, run day-to-day team activities, and contribute to community-of-practice enablement and onboarding programs.

We are seeking a senior Product Management leader to own the end-to-end lifecycle of a portfolio of Data, Analytics, and AI products, from vision and roadmap through adoption, impact, and value realization. This role combines strategic leadership, technical depth, and business acumen to drive digital transformation, innovation, and measurable business outcomes across a global organization.

The Senior Data Engineer will play a crucial role in designing, building, and maintaining data pipelines and systems to support analytics and decision-making in the mechanical industry. Based in Bangalore, this role requires strong technical expertise and a focus on ensuring data integrity and scalability.

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.