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- Tasks: Lead data-driven projects to innovate in healthcare and improve patient outcomes.
- Company: GSK, a global biopharma leader focused on health innovation.
- Benefits: Flexible working, competitive salary, and opportunities for personal growth.
- Why this job: Make a real difference in global health while advancing your career.
- Qualifications: Strong analytical skills and experience in data science.
- Other info: Join a diverse team committed to impactful healthcare solutions.
The predicted salary is between 43200 - 72000 £ per year.
When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.
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.
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.
Lead Data Scientist in London employer: 1054 GlaxoSmithKline Services Unlimited
Contact Detail:
1054 GlaxoSmithKline Services Unlimited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at GSK on LinkedIn. A friendly chat can give us insider info and might even lead to a referral, which can seriously boost our chances.
✨Tip Number 2
Prepare for the interview by researching GSK’s latest projects and values. We want to show that we’re not just interested in the role but also passionate about their mission to impact health at scale.
✨Tip Number 3
Practice common interview questions with a friend or in front of a mirror. We need to articulate our experience and how it aligns with the competencies they’re looking for, so let’s nail that delivery!
✨Tip Number 4
Don’t forget to follow up after the interview! A quick thank-you email can keep us fresh in their minds and shows our enthusiasm for the position. Plus, it’s just good manners!
We think you need these skills to ace Lead Data Scientist in London
Some tips for your application 🫡
Tailor Your Cover Letter: Make sure to customise your cover letter to highlight how your skills and experiences align with the competencies mentioned in the job description. We want to see your personality shine through while also demonstrating your fit for the role!
Showcase Relevant Experience: In your CV, focus on showcasing your relevant experience in data science. Use specific examples that illustrate your achievements and how they relate to the responsibilities of the Lead Data Scientist position. We love seeing quantifiable results!
Be Clear and Concise: Keep your writing clear and to the point. Avoid jargon unless it’s necessary, and make sure your application is easy to read. We appreciate straightforward communication that gets right to the heart of your qualifications.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the role and our company culture there.
How to prepare for a job interview at 1054 GlaxoSmithKline Services Unlimited
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals. GSK is looking for someone who can unite science and technology, so be ready to discuss your experience with machine learning, statistical analysis, and data visualisation. Prepare examples of how you've used these skills in past projects.
✨Tailor Your Application
When applying, ensure your cover letter and CV highlight how you meet the specific competencies outlined in the job description. Use keywords from the job listing to demonstrate that you understand what GSK is looking for and how you fit into their mission of impacting health at scale.
✨Show Your Passion for Health Innovation
GSK is all about getting ahead of disease through innovation. Be prepared to discuss why you're passionate about biopharma and how your work as a data scientist can contribute to this goal. Share any relevant experiences or projects that showcase your commitment to improving health outcomes.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! This shows your interest in the role and the company. Inquire about GSK's current projects in data science or how they foster an agile working culture. It’s a great way to demonstrate your enthusiasm and curiosity about the position.
