DhishaAI Complete Analytics Pvt Ltd

ROLE : Data Scientist : Pharmaceutical Commercial Analytics

Experience: 4-6 years | Function: Data Science / Business

Intelligence | Industry: Pharmaceutical , Retail, Healthcare, and

FMCG

POSITION OVERVIEW

We are seeking an experienced and business-savvy Data Scientist with 4+ years of hands-on analytics experience in the Pharmaceutical / Healthcare domain. In this role, you will design, deploy, and scale advanced predictive models, price elasticity frameworks, and marketing mix optimizations to drive commercial performance across top tier global markets.

The ideal candidate combines deep expertise in modern Python-based

Machine Learning, Deep Learning, MLOps, and Large Language Models

(LLMs) with robust stakeholder management skills, translating complex quantitative outputs into strategic commercial insights for global brand leaders, market access teams, and sales operations.

KEY ROLES & RESPONSIBILITIES

1.Market Mix Modeling (MMM): Develop and rene econometrics-

based Market Mix Models to evaluate marketing eectiveness across digital, Field force, congresses, and omnichannel HCP/HCO campaigns in US & EU markets.

2.Multi-Touch Attribution (MTA): Build robust Multi-Touch Attribution models to map complex physician and patient journeys, optimizing channel-level media spend and conversion touchpoints.

3.Price Optimization & Elasticity: Design statistical and machine learning models for Price Elasticity and Price Optimization,

accounting for regional reimbursement structures, tender dynamics,

and co- pay environments in US and EU pharmaceutical regulatory frameworks.

1. Sales & Demand Time Series Forecasting: Engineer scalable Time Series Forecasting models (ARIMA/SARIMAX, Prophet, LightGBM,

Deep Learning)



for long-term sales projections, inventory planning,

and product demand forecasting.

5.LLM & GenAI Integration: Leverage Large Language Models (LLMs)

and NLP pipelines to automate qualitative data analysis, synthesize medical market intelligence, and generate automated insight briefs for commercial leadership.

6.MLOps & Productionization: Build end-to-end MLOps pipelines using

CI/CD, containerization (Docker), model tracking (MLow), and deployment on cloud architectures (AWS/Azure/GCP) to ensure scalable, and reproducible ML workflows.

2. Stakeholder Management & Storytelling: Serve as a trusted advisor to cross-functional commercial stakeholders (Brand Managers, Pricing & Market Access, Commercial Excellence) across US and

European regions, presenting analytical solutions with high impact.

3. Executive Presentation: Ability to simplify complex statistical frameworks and present actionable strategic insights to executive leaders and non-technical stakeholders.
4. Global Collaboration: Proven experience working across cross- border multi-cultural teams across APAC, EMEA, Europe and North

America.

5. Agile Execution: Track record of working in fast-paced product/analytics teams, managing priorities, and driving end-to-end project ownership from discovery to production.

TECHNICAL & PROFESSIONAL QUALIFICATIONS Core Experience & Domain:
1.



Required 4+ years of experience as a Data Scientist in the Pharmaceutical, Biotech, or Life Sciences industry.

2. Proven exposure to European and US healthcare ecosystem dynamics, HCP data (IQVIA, Veeva, Symphony health), and pharmaceutical commercialization.
3. Track record of building and deploying commercial models (MMM, MTA, Price Elasticity, Demand Forecasting).

Technical Stack: Mandatory Skills a. Programming: Advanced Python, Spark and SQL, Git.

b. ML/DL & Math: PyTorch/TensorFlow, Scikit-learn,

XGBoost/LightGBM, Stats models, Causal Inference.

Good To have skills a. LLMs/GenAI: OpenAI APIs, HuggingFace, LangChain /

LlamaIndex, RAG architectures.

b. MLOps & Cloud: MLow, Docker, Airflow, CI/CD, AWS /

Azure / GCP.

QUALIFICATIONS AND EXPERIENCE

- Master's degree in Data Science, Statistics, Mathematics, Computer Science, Information Technology, Engineering,

Economics, Commerce or a related quantitative discipline.

-2-4 years of hands-on experience in Data Science, Artificial

Intelligence, business intelligence or a related role.

- Experience working with Healthcare and Pharma business datasets and preparing modeling data and EDA reports for data scientists.
- Exposure to Healthcare, Pharmaceutical , Retail, FMCG, Manufacturing, Sales distribution is an advantage.

EMPLOYMENT DETAILS

Job Title: Data Scientist

Experience: 4-6 years

Employment Type: Full-time

Location: Bangalore, Karnataka

Reporting To : Team leader Client Solutions.

HOW TO APPLY

Interested candidates may submit their updated rsum©, along with a brief summary of relevant analytics projects or dashboard experience, to [email protected]

Please mention :Application _Data Scientist in the subject line.

📌 Data Scientist (Bengaluru)
🏢 DhishaAI Complete Analytics
📍 Bengaluru