Associate Specialist, Data Science

MSD Malaysia; Hyderabad; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

MSD Malaysia is seeking an Associate Specialist in Data Science & AI to solve complex business problems using ML, Generative AI, and agentic AI. You will build reusable, scalable AI solutions and collaborate with global teams across markets to deploy and adoption of these capabilities.

The role requires hands-on experience with Python/SQL and ML libraries, with a focus on developing solutions for segmentation, targeting, and personalization.

Qualifications

• Bachelor or Master degree in computer science, Data Science, Statistics, Mathematics, Engineering, or another quantitative discipline.
• 2+ years of relevant experience in Data Science, ML, 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 ML libraries 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 and critical thinking skills.
• Good communication and collaboration skills across technical and business teams.
• Demonstrated ownership, accountability, learning agility in AI landscape.
• Exposure to Generative AI, LLMs, RAG, AI agents, vector databases.
• Experience in pharma, life sciences, healthcare, or commercial analytics is a plus.

Responsibilities

• Collaborate with business, market, DS, engineering, and technology teams to translate business challenges into AI solutions.
• Design and develop reusable, scalable AI/ML solutions for markets with different needs.
• Perform data exploration, feature engineering, statistical analysis, experimentation, and predictive modelling.
• Develop and evaluate ML solutions for 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 analytical components using Python, SQL, and modern AI/ML frameworks.
• Apply evaluation methods to assess model performance and business relevance.
• Take ownership of solutions and timelines with quality, documentation, and outcomes.
• Collaborate with engineering and MLOps to support deployment, monitoring, and maintenance.
• Share knowledge and reusable assets across teams and markets.

Skills

Python

SQL

Machine Learning

Statistics

Feature engineering

Experimentation

Model evaluation

Communication

Collaboration

Ownership

Generative AI

LLMs

RAG

Vector databases

Education

Bachelor or Master in Computer Science or related field

Tools

scikit-learn

XGBoost

TensorFlow

PyTorch

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}

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.

Our company is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where we have codified our legacy for over a century. Our success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.