We at CustomerInsights.AI are looking to add an exceptional Senior Data Scientist for a full-time role in Gurugram/Hyderabad. The detailed job description is mentioned below. If this opportunity interests you, we encourage you to share your updated resume along with your contact details and the best time to reach you.
Position: Senior Data Scientist
Experience: 4-8 Years
Location: Hyderabad / Gurugram
Position Type: Full-time
Founded by Life Sciences & Technology leaders with 25 yrs. of experience, CustomerInsights.AI is an Artificial Intelligence company that builds innovative ML/AI solutions with strong emphasis on self-service, stateless execution through automation, speed to insight, and lower costs. We believe that true value of AI will be realized by Pharmaceutical & Biotechnology companies when AI becomes part of one’s everyday plumbing and not a one of event at the individual or project level.
We are looking for candidates of consulting experience possessing Life Sciences secondary data familiarity – experience working with a variety of Patient, Physician and Payer datasets on solving strategic and tactical sales & marketing business problems across life sciences, biotechnology and healthcare industries. Having directly worked with clients in these industries and business functions will be a big plus.
Qualification and Responsibilities
Education & Experience
- BS or higher in any Engineering discipline from a reputed institution OR BS/MS or higher in Statistics, Mathematics, Operations Research, Economics, Computer Science, Data Science, or another quantitative discipline
- 6 years+ of consulting or analytics experience in Life Sciences, Commercial Analytics, Market Access, or Consulting
Technical
- Able to comprehend complex business problems and independently execute analytical solutions with minimal supervision.
- Hands-on experience with analytics tools including Python, SQL, and R (preferred) along with big data/cloud technologies (at least one of AWS, GCP, or Azure). Experience with Snowflake, Databricks, Tableau, or Power BI is desirable.
- Good understanding of statistical techniques including Regression Modeling, Forecasting, Optimization, and Machine Learning.
- Exposure to Large Language Models (LLMs) or Generative AI is a plus.
Life Sciences Domain
- Strong familiarity with commercially available Physician, Patient, Payer, Claims, Sales, Marketing, and Specialty Pharmacy datasets in the US pharmaceutical industry.
- Work with a variety of US pharma data sources including IQVIA 852/867, Symphony Claims, Markets can, Komodo, MMIT (Formulary, Coverage, Restrictions), Rebates, and Payer Data Assets.
- Experience working with pharmaceutical commercial organizations to solve strategic and tactical Sales & Marketing business problems.
- Experience working directly with Life Sciences clients and business stakeholders will be a strong advantage.
Commercial Analytics
Must have experience in the development or maintenance of analytical solutions such as Market Mix Modeling (MMM), Promotional Effectiveness, Promotion Response Modeling, Sales Force Effectiveness, Commercial Opportunity Assessment, Market Access & Payer Analytics, Commercial KPI Development and Reporting
Analytics & Delivery
- Design, develop, and execute statistical and predictive models to solve commercial business problems.
- Perform exploratory data analysis, feature engineering, model validation, and interpretation of analytical results.
- Execute analyses and make the results accessible and relevant to a wide variety of business users.
- Develop and refine analytical templates and reusable frameworks for problem diagnosis and opportunity assessment.
- Collaborate with clients to understand business requirements and translate them into scalable analytical solutions.
- Support deployment and adoption of analytics solutions across client engagements.
Logical Thinking
- Able to think analytically and use a systematic and logical approach to analyze data, business problems, and situations.
- Spot discrepancies and inconsistencies in information and collaborate effectively with cross-functional analytical teams.
Task Management
- Project management knowledge and experience.
- Ability to plan workstreams, prioritize tasks, establish data requirements, identify client deliverables, and manage timelines.
- Demonstrate initiative to improve quality and customer service by consistently exceeding client expectations.
- Balance team and individual responsibilities while contributing to successful project delivery.
Communication
- Convey ideas and analytical findings clearly and accurately through written and verbal communication.
- Present technical concepts and business insights effectively to both technical and non-technical stakeholders.
- Establish effective communication with clients, project teams, and organizational leadership to foster collaboration and trust.
Why Join Us?
- Play a key role in shaping the next generation of intelligent enterprise platforms.
- Work at the intersection of cutting-edge AI and real-world business impact.
- Collaborate with passionate engineers, data scientists, and domain experts.
- Flexible work environment with a focus on continuous learning and innovation.
Culture & Values:
We foster a high-ownership, performance-driven culture where teams are encouraged to think creatively, act responsibly, and deliver measurable outcomes. Our values guide how we collaborate, make decisions, and build long-term partnerships. To learn more about the organization, its mission & vision, visit https://www.customerinsights.ai/