Senior Data Scientist Engineer

Business Introduction GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centred on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems.
Our diverse portfolio consists of vaccines, specialty medicines, and general medicines.
Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges. Position Summary You will design and deliver data science solutions that inform decisions and improve health outcomes. You will build and validate models, create reproducible pipelines, and present clear insights to partners across analytics, technology and business. We value curiosity, collaboration and practical impact. This role offers strong technical growth, cross-functional visibility, and the chance to contribute to GSK’s mission of uniting science, technology and talent to get ahead of disease together. Responsibilities This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following: - Design, build and validate machine learning and statistical models for segmentation, optimisation and impact measurement. - Develop reproducible data pipelines and production-ready assets using Python, SQL and cloud or distributed compute tools. - Analyse experiments and observational studies using appropriate causal and statistical methods to measure impact. - Create clear visualisations and concise presentations that translate results into actionable recommendations. - Work with stakeholders to define requirements, deliver on time and support adoption of analytic solutions. - Contribute to code quality, testing, documentation and reproducible workflows. Why You? Basic Qualification We are seeking professionals with the following required skills and qualifications to help us achieve our goals - Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics or a related quantitative field. - Minimum 4 years of experience in data analytics, applied statistics or data science roles. - Strong programming skills in Python and SQL. - Practical experience building and evaluating supervised and unsupervised machine learning models. - Experience communicating results clearly to technical and non-technical audiences. - This role follows a hybrid working model in India, with on-site presence as agreed with the hiring manager. Preferred Qualification If you have the following characteristics, it would be a plus - Experience with cloud platforms and data engineering tools such as Azure, AWS or Databricks. - Familiarity with BI and visualisation tools like Power BI, Tableau or ThoughtSpot. - Experience with experimental design, A/B testing or causal inference methods. - Knowledge of natural language processing or generative AI techniques. - Previous experience in healthcare, life sciences or commercial analytics. - Strong collaboration skills and experience working in cross-functional teams. Location and working model This role is based in India and follows a hybrid working model. You will balance focused on-site collaboration with remote work, as agreed with your manager. How you will grow You will work on meaningful problems that influence decisions and improve outcomes. You will gain exposure to senior stakeholders across science, technology and commercial teams. You will have opportunities to learn new skills, increase responsibility and shape how data drives important choices. Apply now If this role feels like a good fit, please apply. Tell us about a data project you led, the tools you used and the impact it delivered. We welcome applicants from all backgrounds and support inclusion across our teams. We look forward to hearing from you.

Skills

Algorithms, Data Assessment, Data Cleansing, Data Preprocessing, Exploratory Data Analysis (EDA), Hypothesis Testing, Mathematics Modeling, Model Evaluation, Predictive Modeling, Probabilistic Modeling, Reliability Engineering, Statistical Analysis, Statistical Analysis Techniques, Statistical Significance Testing

 

 

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

Inclusion at GSK:

As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.

Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.

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