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- Tasks: Lead innovative data science projects using Python and R to drive healthcare solutions.
- Company: Join GSK, a global biopharma leader dedicated to improving health for billions.
- Benefits: Flexible working culture, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on global health while working with cutting-edge data science technologies.
- Qualifications: Degree in data science or related field; experience in data or AI roles preferred.
- Other info: Collaborative environment with a focus on continuous learning and innovation.
The predicted salary is between 48000 - 72000 Ā£ per year.
GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver Ā£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 centered 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.
In the role of Lead Data Scientist, you will support the development of data science products within GSK's Enterprise AI team. This role involves coding in Python and R to develop innovative data science use cases, with a focus on statistical data science applications to assist in commercial decision making, operations and strategy. You will be part of a collaborative, crossāfunctional team and will work with product owners, data engineers and software developers to support the successful delivery and continuous improvement of our data science product portfolio.
The ideal candidate will have a strong analytical mindset, a solid grasp of programming fundamentals and statistical concepts, excellent communication skills, and a passion for exploring cuttingāedge data science capabilities to deliver innovative use cases to help GSK reach its ambition to positively impact the health of 2.5 billion people by the end of the decade.
In this role you will:
- Develop, implement and optimise machine learning and statistical models using Python, R, or SQL, while ensuring the underlying data is properly gathered, validated, and prepared to support businessādriven solutions.
- Create and deploy models designed to address strategic business challenges and opportunities, driving measurable business value and enhancing decisionāmaking processes.
- Lead and support value measurement initiatives by coordinating project teams, driving analytical approaches, and overseeing execution to deliver actionable business insights.
- Work closely with stakeholders from Marketing, Commercial, Finance, and other departments to understand data needs, provide insights, and ensure alignment of data science initiatives with business objectives.
- Prepare and deliver presentations to communicate results and findings to internal stakeholders.
- Stay abreast of emerging trends in the field of data science.
Basic Qualifications
- Bachelor's or Master's degree in data science, statistics, computer science or similar quantitative field.
- Previous experience in a data or AIārelated role, preferably within the healthcare or pharmaceutical industry.
- Strong analytical and problemāsolving skills, with the ability to interpret complex data and generate actionable insights.
- Proficiency in programming languages such as Python, R, or SQL.
- Familiarity with statistical learning models and concepts.
- Familiarity with data science algorithms and data structures.
- Excellent communication and interpersonal skills, with the ability to work effectively in a teamāoriented environment.
- Detailāoriented and organised, with the ability to manage multiple tasks and prioritise.
- A proactive and selfāmotivated approach to work, with a strong desire to learn and grow in the field of data science.
Preferred Qualifications
- Experience with cloud platforms such as Databricks.
- Experience working in an agile environment.
Closing Date for Applications: Friday 30th January 2026 (COB)
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Lead Data Scientist in London employer: Gsk
Contact Detail:
Gsk Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Lead Data Scientist in London
āØTip Number 1
Network like a pro! Reach out to current or former GSK employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Enterprise AI team. Personal connections can make a huge difference!
āØTip Number 2
Prepare for those interviews! Brush up on your Python, R, and SQL skills, and be ready to discuss how you've used them in real-world scenarios. Practice explaining complex data science concepts in simple terms ā communication is key!
āØTip Number 3
Show your passion for data science! Share any personal projects or contributions to open-source initiatives that demonstrate your skills and enthusiasm. This can really set you apart from other candidates.
āØTip Number 4
Donāt forget to apply through our website! Itās the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the GSK team and contributing to our mission.
We think you need these skills to ace Lead Data Scientist in London
Some tips for your application š«”
Tailor Your Cover Letter: Make sure to customise your cover letter for the Lead Data Scientist role. Highlight your experience with Python, R, and any relevant projects that showcase your analytical skills. We want to see how you can contribute to our mission at GSK!
Showcase Your Skills: In your CV, clearly outline your technical skills, especially in data science and programming. Mention specific projects or achievements that demonstrate your ability to solve complex problems and drive business value. This is your chance to shine!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate clarity and organisation!
Apply Through Our Website: Donāt forget to submit your application through our official website! Itās the best way to ensure your application gets the attention it deserves. Plus, youāll find all the details you need about the role there.
How to prepare for a job interview at Gsk
āØKnow Your Data Science Stuff
Make sure you brush up on your knowledge of machine learning and statistical models, especially in Python and R. Be ready to discuss specific projects where you've applied these skills, as GSK is looking for someone who can drive measurable business value through data.
āØUnderstand the Business Context
Familiarise yourself with GSK's commercial ambitions and how data science can support their goals. Think about how your insights can align with their strategy to impact health positively. This will show that you're not just a techie but also understand the bigger picture.
āØPrepare for Team Collaboration Questions
Since you'll be working closely with various departments, be prepared to discuss your experience in cross-functional teams. Have examples ready that demonstrate your communication skills and how you've successfully collaborated with stakeholders from different backgrounds.
āØShow Your Passion for Learning
GSK values a proactive approach and a desire to grow in the field of data science. Share any recent courses, certifications, or projects that showcase your commitment to continuous learning and staying updated with emerging trends in data science.
