Job Purpose:

Data scientist is a professional who uses their skills in statistics, programming, and machine learning to extract insights from data. They then use these insights to solve problems and make informed decisions.

The primary objectives of the position are as following:

1. Supporting Operations / Manufacturings Digital Strategy under Programs Pegasus & Falcon : Work closely with Senior Data Scientist, execute and project manage the aspirational digital advanced analytics strategy. Objective is to push the excellence boundaries into the Top Decile club on performance outcomes.

2. Data-Driven Decision Making: Work on Data Acquisition and management [Overseeing the collection, organization and cleansing of data from various sources]; Data Analysis & Modelling [Utilizing advanced analytics technique and machine learning algorithms to extract insights and build predictive models.; Communication & Story Telling [Translating complex data analysis results into actionable insights and recommendations for stakeholders at all levels].

3. Innovation & Optimization: Exploring new ways to leverage data to improve business processes, optimize operations. Keeping up with the latest trends and advancements in data science and technology, adapting strategies accordingly.

4. DAA Academy:



Conducting the DAA academy for Manufacturing Function.

5. Impact Tracking : Keep track of Impact of existing and ongoing use cases and share them with management on frequent basis.

Education Qualification:

Bachelors Degree in Computer Science, Data Science, Analytics or related field.

Relevant Work Experience:

- 5-8 years of experience in data science, machine learning, AI or data engineering.
- Demonstrated experience developing and deploying data science solutions using Python or PySpark, SQL and relevant machine-learning frameworks.
- Hands-on exposure to generative AI, large language models, retrieval-augmented generation, prompt engineering, AI agents or cognitive AI services.
- Robust understanding of data preparation, statistical analysis, model development, evaluation, deployment and monitoring.
- Experience with cloud computing platforms, data lakes, modern data platforms and MLOps or LLMOps practices.
- Ability to create dashboards and communicate insights using Power BI or Tableau.
- Effective stakeholder management and collaboration across operations, business, cloud, data engineering, application, security and visualisation teams.

Work Location: Lower Parel, Mumbai

📌 Site Lead (Mumbai)
🏢 Cipla
📍 Mumbai