Role Overview
Capgemini Invent is hiring a senior-level Data Science Specialist. This is a full-time role in Jorhat. posted 3 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
AI &
- Data Science - Advanced Analytics Transformation (GenAI, Industrial AI &
- Manufacturing Analytics) Location: Pan India We are seeking a Digital Transformation Manager / Consultant (AI &
- Data Science - Advanced Analytics, GenAI, Industrial AI &
- Manufacturing Analytics) with 6-14 years of experience in artificial intelligence, data science, and industrial analytics to lead AI driven transformation initiatives. The role focuses on designing and deploying Generative AI, machine learning, and advanced analytics solutions, partnering with business, analytics, and IT teams to deliver scalable, data driven outcomes across manufacturing and industrial domains.
Key Responsibilities - Lead AI/analytics advisory engagements, including as is/to be analysis, problem decomposition, and solution blueprinting across manufacturing and industrial processes.
- Drive end to end AI and data science solution development for Generative AI, machine learning, demand forecasting, inventory optimization, and process intelligence use cases.
- Design and deploy GenAI and Agentic AI solutions, including LLM based systems, multi agent frameworks, and intelligent automation applications.
- Translate complex business problems into data science models, AI pipelines, and analytical frameworks aligned with strategic and operational objectives.
- Partner with business stakeholders to align solutions with supply chain, manufacturing, and industrial process requirements.
- Oversee complete lifecycle including data ingestion, feature engineering, model development, testing, deployment, and monitoring.
- Develop transformation deliverables such as solution architecture, process flows, KPIs, model documentation, and decision frameworks.
- Recommend AI/data science driven improvements for forecast accuracy, operational efficiency, cost reduction, process optimization, and customer experience.
- Lead PoCs, MVPs, and innovation initiatives, driving adoption of GenAI and advanced analytics solutions.
- Work independently or lead small teams; ensure delivery in agile / sprint based environments with strong client engagement.
Technical
Expertise & Domain Skills - Strong hands on experience with Generative AI (LLMs, multimodal AI, Agentic AI frameworks) and data science techniques.
- Proficiency in Python, PySpark, SQL, and ML frameworks such as TensorFlow, PyTorch, and scikit learn.
- Experience in designing and deploying end to end AI/ML/data science pipelines, APIs (FastAPI/Flask), and scalable systems.
- Strong exposure to cloud platforms (Azure, AWS, GCP), including Databricks and ML services.
- Domain expertise in manufacturing, supply chain, and industrial analytics (forecasting, logistics, inventory, process optimization).
- Experience with big data ecosystems (Hadoop, Spark) and distributed data processing.
- Familiarity with statistical modeling, optimization techniques, and decision science approaches.
- Exposure to industries such as Manufacturing, Consumer Goods, Retail, Logistics, Utilities, and Industrial Engineering. Your Qualifications - B.Tech mandatory; Master's or Ph.D. in Data Science, AI, Industrial Engineering, Operations Research, or related fields preferred.
- 6-14 years of experience in data science, AI/ML, or analytics transformation roles.
- Strong consulting mindset with excellent communication and stakeholder management skills.
- Proven experience in problem structuring, data science/AI solution design, deployment, and business value realization.
- Ability to work with cross functional global teams; agile delivery experience preferred.
- Experience in proposals, RFPs, and client presentations is a strong advantage.
- Digitally savvy with exposure to Python, SQL, Power BI/Tableau, Cloud platforms, AI/ML, Automation, Advanced Analytics, and GenAI.
Frequently Asked Questions
How do I apply for the Data Science Specialist position at Capgemini Invent?
Use the Apply button above to submit your application directly to Capgemini Invent. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Science Specialist position at Capgemini Invent located?
This position is based in Jorhat. Capgemini Invent has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Data Science Specialist at Capgemini Invent earn?
Capgemini Invent has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Science Specialist role at Capgemini Invent posted?
This role was posted on May 18, 2026 (21 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Data Science Specialist role at Capgemini Invent require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Capgemini Invent lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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