Data Scientist - For a leading client (Permanent Job)

Interview date : 31st October 2026 (Saturday) OR 1st November 2026 (Sunday), Face to face @ Pune.

Interview Location : Pune.

Work location/placement: Bengaluru

We are looking for a highly motivated Data Scientist with 24 years of experience in the

pharmaceutical or life sciences domain, specializing in commercial analytics. The ideal candidate will

leverage advanced analytics, statistical modeling, and machine learning techniques to generate

actionable insights that support commercial decision-making, including sales, marketing, market

access, and customer engagement.

Key Responsibilities:

• Develop predictive and descriptive analytical models to support commercial business

objectives.

• Analyze large-scale healthcare, pharmaceutical, sales, claims, prescription (Rx), patient, and

market data to uncover business insights.

• Build machine learning and statistical models for customer segmentation, targeting,forecasting, next best action, and campaign effectiveness.

• Design and implement data pipelines, feature engineering, and model validation processes.

• Collaborate with commercial stakeholders to translate business problems into analytical solutions.

• Create dashboards and visualizations to communicate findings effectively using BI tools.

• Monitor model performance and recommend improvements based on business feedback.

• Work with cross-functional teams including data engineering, business consulting, and

commercial excellence teams.

• Ensure data quality, documentation, and adherence to data governance standards.

Required Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics,

Engineering, or a related quantitative discipline.

• 24 years of experience in Data Science with a focus on Pharma or Life Sciences Commercial

Analytics.

• Strong understanding of pharmaceutical commercial processes, including sales analytics,

marketing analytics, customer analytics, and market performance measurement.

• Hands-on experience with machine learning algorithms, statistical analysis, and predictive

modeling.

• Proficiency in Python or R for data analysis and model development.
• Strong SQL skills for data extraction and manipulation.
• Experience with data visualization tools such as Tableau or Power BI.
• Familiarity with cloud platforms (AWS, Azure, or GCP) is preferred.
• Understanding of Agile methodologies and version control tools such as Git is an advantage.

Technical Skills:

• Python (Pandas, NumPy, Scikit-learn)
• SQL
• R (preferred)
• Machine Learning
• Statistical Modeling
• Data Visualization (Tableau/Power BI)
• Spark or PySpark (preferred)
• Databricks (preferred)
• Cloud Platforms (AWS, Azure, or GCP)

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Thanks and best regards,

Arindam Ghosh
Talent Acquisition Executive
Mail to : arindam@tejoma.com