Data Scientist

Circulants; Pune District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Circulants is seeking a highly motivated Lead Data Scientist to combine deep technical expertise with strong leadership. You will mentor a team, drive technical excellence, and partner with stakeholders to deliver high-impact commercial analytics solutions for pharmaceutical clients worldwide.

The role balances hands-on coding with design of scalable analytics frameworks, review of deliverables, and guiding projects from ideation to implementation, including Generative AI applications and

Qualifications

• 4–6 years of experience in Data Science, Advanced Analytics, or ML.
• Experience leading or mentoring analytics teams while remaining hands-on.
• Expertise in Python, SQL, Spark, and modern ML frameworks.
• Experience with cloud platforms and large healthcare/pharma datasets.
• Knowledge of Generative AI, LLMs, and RAG architectures is a plus.

Responsibilities

• Provide technical leadership to a team of data scientists and analysts.
• Lead design, development, and deployment of advanced analytics solutions.
• Review code, methodologies, and model outputs to maintain standards.
• Establish best practices for data science development, documentation, and version control.
• Drive innovation with modern AI/ML techniques, including Generative AI.
• Partner with stakeholders to translate business problems into analytics.
• Mentor and coach junior data scientists; manage project delivery.

Skills

Python

SQL

Spark

Leadership

Mentoring

Agile

Communication

Tools

Azure

AWS

GCP

Job description

Role Overview

We are looking for a highly motivated Lead Data Scientist who can combine deep technical expertise with strong leadership capabilities. This role is ideal for someone who enjoys building analytics solutions while also mentoring a team, driving technical excellence, and partnering with stakeholders to deliver high-impact commercial analytics solutions for global pharmaceutical clients. The ideal candidate should be equally comfortable writing production-ready code, designing scalable analytical frameworks, reviewing team deliverables, and leading projects from concept to implementation.

Role & responsibilities

What You’ll Do

• Technical Leadership
• Lead the design, development, and deployment of advanced analytics solutions across commercial pharma use cases.
• Provide technical direction to a team of data scientists and analysts, ensuring high-quality, scalable, and reusable solutions.
• Review code, analytical methodologies, and model outputs to maintain engineering and analytical standards.
• Establish best practices for data science development, model governance, documentation, and version control.
• Drive innovation by evaluating and implementing modern AI/ML techniques, including Generative AI applications.

Hands-on Analytics & Data Science

• Build and optimize models across:
• HCP Targeting & Segmentation
• Territory Sizing & Alignment
• Sales Force Effectiveness
• Patient-Based & ML Forecasting
• Patient Journey & Access Analytics
• Marketing Analytics & Campaign Effectiveness
• Omnichannel Analytics
• Work extensively with Python, SQL, Spark, and large-scale healthcare datasets (claims, CRM, specialty pharmacy, formulary, EMR, etc.).
• Perform feature engineering, model development, validation, and performance optimization.
• Design scalable data pipelines and reusable analytical frameworks.
• Build AI-powered solutions, including RAG pipelines, LLM-based insight generation, and intelligent automation where applicable.

Team Leadership & Delivery

• Mentor and coach junior data scientists, providing technical guidance and career development support.
• Lead project planning, task allocation, effort estimation, and delivery management.
• Ensure projects are delivered on time with high quality and business impact.
• Collaborate closely with cross-functional teams including Data Engineering, Product, Commercial Operations, and Business Consulting.
• Drive continuous improvement initiatives to enhance productivity and solution quality.

Stakeholder & Client Engagement

• Partner with business stakeholders to translate complex commercial problems into analytical solutions.
• Present insights and recommendations to internal leadership and client teams.
• Support solution design, proposal development, and innovation initiatives for new business opportunities.

Preferred candidate profile

• 4-6 years of experience in Data Science, Advanced Analytics, or Machine Learning.
• Strong experience leading or mentoring analytics teams while remaining hands-on.
• Expertise in Python, SQL, Spark, and modern ML frameworks.
• Strong understanding of statistics, machine learning, forecasting, segmentation, optimization, and predictive analytics.
• Experience working with large healthcare/pharma commercial datasets.
• Experience with cloud platforms (Azure, AWS, or GCP) and modern data architectures is preferred.
• Familiarity with Generative AI, LLMs, RAG architectures, or AI copilots is a strong advantage.
• Excellent communication and stakeholder management skills.
• Experience working in Agile delivery environments.
• Leadership Expectations
• Lead by example through hands-on technical contributions.
• Build a culture of ownership, collaboration, and continuous learning.
• Coach and develop team members to improve technical and consulting capabilities.
• Drive technical excellence through code reviews, knowledge sharing, and reusable solution development.
• Balance execution, innovation, and people leadership while delivering business value.
• Mindset
• Hands-on Leader Comfortable writing code while leading a high-performing team.
• Ownership Driven – Takes end-to-end responsibility for solution delivery.
• Strategic Thinker – Connects analytical work to business outcomes.
• Problem Solver – Breaks down complex challenges into practical solutions.
• Mentor – Invests in developing team capability and fostering collaboration.
• Continuous Learner – Stays current with emerging AI, analytics, and cloud technologies.

Why This Role Matters

As a Lead Data Scientist, you will play a pivotal role in shaping next-generation commercial analytics solutions for leading pharmaceutical organizations. Beyond building advanced analytical models, you will lead teams, influence technical strategy, mentor future talent, and help transform healthcare data into actionable business insights that drive measurable impact.