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- Tasks: Lead data science initiatives and manage teams to deliver impactful insights.
- Company: Join GSK, a global biopharma leader dedicated to improving health.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and continuous improvement.
- Why this job: Make a real difference in healthcare by harnessing AI and advanced analytics.
- Qualifications: Degree in data science or related field; experience in managing teams and projects.
The predicted salary is between 60000 - 80000 £ per year.
We manufacture and supply reliable, high-quality medicines and vaccines to meet patients’ needs and drive our performance. Our network of 37 medicines and vaccines manufacturing sites delivered 1.7 billion packs of medicines and 409 million vaccine doses in 2024 to help make a positive impact on the health of millions of people. Our supply chain is not just core to our operations; it’s vital to bringing our innovations to patients as quickly, efficiently and effectively as possible. Technology is transforming how we manufacture medicines and vaccines, enabling us to increase the speed, quality and scale of product supply.
Advanced Analytics and Future Capabilities within Supply Chain Insights to Impact is focused on using new and emerging technologies such as Artificial Intelligence, Knowledge Graph Networks and Decision Intelligence to deliver next level supply chain performance. The team consists of broad experts across the supply chain and partners with the supply and demand business units to deliver transformative change using advanced technologies.
This is an exciting opportunity to lead and shape data science initiatives at GSK. You will manage development squads to deliver impactful insights and solutions that drive business decisions. Collaboration is key, as you’ll work closely with cross-functional teams to solve complex problems and unlock value. We’re looking for someone who is passionate about data, thrives in a fast-paced environment, and is eager to make a difference.
As a business SME & experienced Data Scientist you will work with a small team of Technical, Business and data science teams to design and deliver Decision Intelligence, analytics, machine learning solutions that support business decisions within our agentic framework. You will work closely with cross-functional partners across Supply Chain, operations and technology to translate business problems into data solutions. We value clear communicators who coach others, deliver reliable results, and care about ethical, responsible use of data. This role offers strong growth, visible impact and the chance to help GSK unite science, technology and talent to get ahead of disease together.
This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:
- As a business lead manage development squads and business SMEs to design and implement advanced analytics and Artificial Intelligence to drive business value through Decision Intelligence solutions.
- Partner with business leaders to identify opportunities where Advanced Analytics and Decision Intelligence can drive value.
- Translate and complex data into clear, actionable insights for stakeholders at all levels.
- Plan and deliver transformative change in the business units.
- Drive continuous improvement in data science processes, tools, and methodologies.
- Mentor and develop team members, fostering a culture of innovation and collaboration.
This role is a hybrid position based in the United Kingdom, Europe or India. You will be expected to attend on-site meetings and collaborate in person as needed. We welcome applicants from a wide range of backgrounds and experiences. We look for high calibre practical problem-solvers who enjoy coaching others and delivering measurable outcomes.
We are seeking professionals with the following required skills and qualifications to help us achieve our goals:
- Degree in data science, computer science, statistics, mathematics, engineering or a related field.
- Proven experience managing development teams and delivering impactful projects.
- Problem solving & consulting skills.
- Experience building and deploying AI models with Agentic orchestration to production or analytic pipelines.
- Practical experience with data wrangling, feature engineering and data quality checks.
- Experience with Knowledge Graph models/solutions (preferably RDF).
- Excellent communication skills, with the ability to simplify complex concepts.
- Ability to work collaboratively across diverse teams at all levels and time zones.
- Possess analytic curiosity to seek out and develop potential solutions and a track record of driving innovation and continuous improvement.
If you have the following characteristics, it would be a plus:
- Advanced degree (MSc or PhD) in a relevant discipline.
- Experience working in life sciences, healthcare, pharmaceuticals or regulated industries.
- Familiarity with cloud platforms (Azure, AWS or Google Cloud) and containerised deployment.
- Experience with MLOps, model monitoring and automated testing frameworks.
- Knowledge of causal inference, experimental design or predictive modelling for operational decision-making.
- Experience working in a matrixed, global organisation and partnering across diverse teams.
If you are excited by this role and ready to help shape data-driven decisions that improve health, please apply with your CV and a short summary of a recent project you led. Describe your role and the measurable impact you achieved. We look forward to hearing from you.
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.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, 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.
Data Science Manager in London employer: Gsk
Contact Detail:
Gsk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your problem-solving skills. Use real-life examples from your past projects to demonstrate how you've tackled challenges and delivered results.
✨Tip Number 3
Don’t just wait for job postings; be proactive! Research companies you admire and reach out directly to express your interest. Tailor your message to show how your skills align with their goals, especially in data science and AI.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at GSK and making a difference in healthcare.
We think you need these skills to ace Data Science Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science Manager role. Highlight relevant experience, especially in managing teams and delivering impactful projects. We want to see how your skills align with our mission!
Showcase Your Projects: When you describe your recent project, focus on your role and the measurable impact you achieved. We love seeing clear examples of how you've used data science to drive business decisions.
Keep It Clear and Concise: Use straightforward language to explain complex concepts. We appreciate clear communicators who can simplify their ideas, so make sure your application reflects that!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Gsk
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around AI models and analytics. Be ready to discuss your experience with data wrangling, feature engineering, and any projects where you've deployed AI solutions. This will show that you can hit the ground running.
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll need to lead development squads. Prepare examples of how you've successfully managed teams in the past, focusing on collaboration and mentoring. Highlight any transformative changes you've driven in previous roles to demonstrate your impact.
✨Communicate Clearly
You’ll be translating complex data into actionable insights for stakeholders. Practice simplifying technical concepts into layman's terms. This will not only help you during the interview but also show that you can effectively communicate with cross-functional teams.
✨Be Curious and Innovative
GSK values analytic curiosity and innovation. Come prepared with examples of how you've sought out new solutions or improved processes in your previous roles. This will demonstrate your proactive approach and alignment with their culture of continuous improvement.