Agentic AI Specialist & Data Scientist - Mumbai - Work From Office

COMPANY OVERVIEW
Tata Group is an Indian multinational conglomerate company headquartered in Mumbai, India. It encompasses seven business sectors: communications and information technology, engineering, materials, services, energy, consumer products and chemicals. Tata Group was founded in 1868 by Jamsetji Tata as a trading company. It has operations in more than 80 countries across six continents. Tata Group has over 100 operating companies with each of them operating independently.
Tata Sons is the promoter of all key Tata companies and holds the bulk of shareholding in these companies.
BACKGROUND
The Tata companies together serve over million consumer and commercial customers today across several products and services. In order for the Tata companies to better understand customer and client needs and preferences, action life stages, needs, value, and potential, and enhance value and experience; the Tata companies need to develop robust data and information management capability and customer analytics. The vision is to eventually create the best in-house capability for data analytics amongst any large corporate. To achieve the above aims, it has been decided to establish an independent Tata company focused on building a common data analytics platform and help Tata Group companies. This company is being incubated in the initial phase as a division of Tata Industries and will subsequently be structured as a separate company to build Big Data Analytics and Data Science capabilities catering to but not limited to the Consumer brands of the group.
Tata Insights and Quants Journey to Date
Company: Tata - Insights and Quants A Newly started division by Tata Industries.
http://www.livemint.com/Companies/PCgvCZILuJKV68UKVHZRJO/With-new-analytics-arm-Tata-aims-to-make-better-sense-of-da.html
Employer Brand:
Tata iQ in 18 months of its inception was recognized in the list of Analytics India Magazines (AIM) Top 10 most desirable Analytics Indian Firms to work for in 2016:
Generating Value for Customer:
Fourteen Tata companies are partnering Tata Insights and Quants (Tata iQ), a Big Data firm, to analyse data collected from users, consumers and make sense of it to put changes in place
http://www.livemint.com/Companies/5om8ebrv6p02jGCcRB3j3K/Tata-companies-use-Big-Data-to-craft-strategies.html
Contributing to Community through big data:
In line with the Tata groups philosophy of giving back more to the society than what it takes, Tata iQ, Tata groups big data and decision Sciences Company.
Okhai partners with Tata iQ to deliver big impact through big data



Role Type : Agentic Ai Specialist and Data Scientist
Location : Mumbai, Work from Office

Education and Experience

• Bachelors or Masters in Computer Science, Statistics, Mathematics, Engineering, or a related field; or MBA with Bachelors in the above fields
• Experience of 1 -6 Years in data analytics companies, focused in data science with exposure to business data warehousing, data consumption, data analyses and use of Gen AI in analytics in a consumer (B2C) company, preferably in Retail or Ecommerce

About the Role
We are seeking a highly skilled and motivated Agentic Ai and Data Scientist to join our data science team. The ideal candidate will have a strong foundation in Python, SQL, and machine learning, with recent hands-on projects delivered leveraging LLMs. They will play a key role in building data-driven solutions that drive business decisions and impact.

Job Description

- This is an exciting opportunity to be a part of the team that works as Agentic Ai Builder and develops foundational capabilities enabling enhanced analytics and measurement, critical to shaping global digital adoption and experience strategies.
- The incumbent will be part of the Customer Analytics team. He/she will be an individual contributor working on customer analytics space as primary responsibility. He/she would work with data to help their clients make better business decisions. Using techniques from a range of disciplines, he/she would draw conclusions from data to describe, predict, and improve business performance. Experience in any of the business domains of Customer Analytics, Retail Merchandising and Buying would be beneficial.

Job Responsibilities

• Design and build scalable machine learning models and / or AI-first solutions to solve real-world business problems.
• Translate business requirements into clear analytical solutions using data science techniques or AI agents ( Agentic Ai )
• Write optimized SQL queries to extract, manipulate, and analyze large datasets. Develop and deploy production-ready code using Python.
• Collaborate with data engineers, product managers, and business stakeholders to build end-to-end data and AI products.
• Communicate complex findings in a clear, concise manner to non-technical stakeholders.
• Continuously monitor and improve the performance of deployed models.
• Mentor junior data scientists and review their code/models as needed.

Requirements/Skill sets

• Bachelors or Masters in Computer Science, Statistics, Mathematics, Engineering, or a related field; or MBA with Bachelors in the above fields
• 1+ years of hands-on experience in data science, analytics, AI and machine learning.
• Strong grasp of how LLMs work (tokens, context windows, temperature, hallucination risks)
• Experience with prompt engineering and structured outputs (JSON, function calling)
• Familiarity with Agentic Ai frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.)
• Understanding of RAG (Retrieval-Augmented Generation) and when to use it vs fine-tuning
• Ability to design multi-step Agentic Ai workflows (planning, tool use, memory)
• Experience building Agentic Ai that Call APIs/tools, Handle retries and failures, Maintain state/context across interactions
• Knowledge of evaluation strategies for Agentic Ai (accuracy, latency, cost, reliability)
• Expert proficiency in Python, including libraries like pandas, scikit-learn, NumPy, etc. async programming and API development
• Experience with model deployment, version control (e.g., Git), and working in cloud environments (AWS/GCP/Azure/ Databricks).
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Nice to Have:

• Experience on Databricks would be beneficial
• Experience in any of the business domains of Retail Merchandising and Buying would be beneficial.