Associate Specialist, Data Science
MSD · Hyderabad
- Experience2–3 yrs
- SalaryNot disclosed
- Work modehybrid
- Levelmid
- Posted10 Sept 2026
About MSD
MSD is hiring in Hyderabad in pharma biotech. This role looks for around 2+ years of experience.
Skills
- Data Science
- Machine Learning
- Generative AI
- Agentic AI
- Python
- SQL
- Feature Engineering
- Statistical Analysis
- Experimentation
- Predictive Modelling
- Segmentation
- Targeting
- Propensity Modelling
- Recommendation Systems
- Personalization
- Optimization Techniques
- Large Language Models
- Retrieval-Augmented Generation
- AI Assistants
- AI Agents
- Agentic Workflows
- scikit-learn
- XGBoost
- TensorFlow
- PyTorch
- Model Evaluation
- Model Validation
- Data Visualization
- Data Engineering
- MLOps
The role
A data scientist at a pharmaceutical and healthcare company develops scalable machine learning solutions and generative AI applications for international markets, using Python, SQL, and predictive modelling. The role applies statistical analysis and feature engineering to structured and unstructured datasets.
Full job description
Job Description
Job Title Associate Specialist - Data Science & AI
We are looking for an Associate Specialist, Data Science & AI to join our Data Science & AI team.
In this role, you will help solve complex business problems using Data Science, Machine Learning, Generative AI, and Agentic AI, with a strong focus on building reusable and scalable solutions that can create value across diverse international markets.
You will collaborate with Data Science, business, engineering, technology, and market teams across geographies to understand problems, develop solutions, and support their deployment and adoption.
We are looking for someone who combines strong technical foundations with curiosity, collaboration, ownership, and accountability. Experience in pharmaceutical or healthcare is a plus, but not mandatory.
Key Responsibilities
Collaborate with business, market, Data Science, engineering, and technology teams to translate business challenges into practical Data Science and AI solutions.Design and develop reusable, configurable, and scalable AI/ML solutions that can be applied across markets with different business needs, data availability, and levels of maturity.Perform data exploration, feature engineering, statistical analysis, experimentation, and predictive modelling using structured and unstructured datasets.Develop and evaluate ML solutions for use cases such as segmentation, targeting, propensity modelling, recommendation, personalization, and optimization.Contribute to Generative AI and Agentic AI solutions, including LLM applications, RAG, AI assistants, AI agents, and agentic workflows.Build high-quality and reusable analytical and AI components using Python, SQL, and modern AI/ML frameworks.Apply appropriate evaluation approaches to assess model and AI solution performance, reliability, and business relevance.Take ownership of assigned solutions and workstreams, with accountability for quality, timelines, documentation, and outcomes.Collaborate with engineering and MLOps teams to support deployment, monitoring, maintenance, and continuous improvement of AI/ML solutions.Contribute to a collaborative Data Science & AI community by sharing knowledge, reusable assets, best practices, and learnings across teams and markets.
Required Experience, Skills And Qualifications
Bachelor or Master degree in computer science, Data Science, Statistics, Mathematics, Engineering, or another relevant quantitative discipline.2+ years of relevant experience in Data Science, Machine Learning, Advanced Analytics, or AI.Strong hands-on experience with Python and SQL.Good understanding of machine learning, statistics, feature engineering, experimentation, model evaluation, and validation.Hands-on experience with common ML libraries and frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, or equivalent.Ability to work with complex datasets and translate business questions into structured analytical approaches.Strong analytical thinking and critical thinking skills.Good communication and collaboration skills, with the ability to work effectively across technical and business teams.Demonstrated ownership, accountability, learning agility, and willingness to work in an evolving AI landscape.Exposure to Generative AI, LLMs, RAG, AI agents, agentic frameworks, or vector databases.Experience in pharmaceutical, life sciences, healthcare, or commercial analytics is a plus, but not mandatory.
Required Skills
Business Analysis, Business Analysis, Business Intelligence (BI), Complex Analysis, Computer Science, Data Analysis, Database Design, Data Curation, Data Engineering, Data Modeling, Data Research, Data Science, Data Strategies, Data Visualization, Exploratory Analysis, Lateral Thinking, Machine Learning (ML), Optimization Techniques, Propensity Models, Python (Programming Language), Software Development, Solutions Development, SQL Databases, Stakeholder Relationship Management, Structured Data {+ 2 more}
Preferred Skills
Current Employees apply HERE
Current Contingent Workers apply HERE
Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status
Regular
Relocation
Domestic
VISA Sponsorship
No
Travel Requirements
10%
Flexible Work Arrangements
Hybrid
Shift
1st - Day
Valid Driving License
Yes
Hazardous Material(s)
NA
Job Posting End Date
09/18/2026
A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Requisition ID R415922