Senior Data Scientist

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.

We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

Discover more about our company wide benefits and life at GSK on our webpage Life at GSK | GSK

People Data & Analytics (PDA) is rapidly developing the People Analytics capability across all business functions in GSK. The team applies advanced analytical techniques to provide data driven insights on what really matters to employees and which human capital investments really drive business results.

Sitting within HR the role offers a great opportunity to make a strategic impact across the organisation, from how medicines are developed, how they are manufactured, and how they reach patients. You would be exposed to projects from across the organisation, giving you experience over all key business functions. As part of this, you would engage with senior leaders from these functions, advising them on key people initiatives.

We are looking for this role to be based at GSK House.

We’re moving towards a more sustainable future with our new headquarters. With better public transport links and proximity to world-class science and technology institutions, we’re excited for our move to the vicinity of Earnshaw Street, London WC1A (“the New HQ”) by end H1 2024.

Job Purpose

In this role, you will join an inter-disciplinary team of Data Scientists, Analysts and Data Engineers, working alongside Business Consultants and Behavioural Scientists to lead our digital transformation and tackle our most impactful business challenges. You will be responsible to integrate and analyse complex, high dimensional data sets, and build novel, innovative models to solve challenging business problems or identify untapped opportunities. You will work to ensure that these models are translated into solutions for GSK. The work you do will transform GSK, making sense of our huge untapped data sources to drive better business choices, make advanced analytics a competitive advantage for GSK and secure better health outcomes for those who depend upon our medicines and innovation.

Key Responsibilities

• Translate a business need into a well-defined machine learning problem and execute on that solution in an interdisciplinary team. The Senior Data Scientist will be able to actively identify opportunities to apply machine learning to build, test, and validate predictive models. They should be the standard bearer for good coding practices and promote proper unit, functional, and integration tests for code to ensure quality.
• Able to explore and evaluate the appropriateness of the data for the intended task. The Senior Data Scientist will be experienced in designing models that perform to a particular specification and be able to evaluate the model that will best suit the problem at hand.
• Compare results from various methodologies and recommend the best techniques to stake holders and able to defend robustly in meetings with senior leaders.
• They should be capable of thinking in advance of model's future requirements or how the available data might change over time and design a product that will be able to cope with those requirements.
• Assume leadership of some, or all, of a product ship.
• Be the ‘go to’ person for specific methodologies and mentor junior data scientists on the team and share ideas in an open collegiate way.
• Continually learn new analytical skills, techniques and tools to improve competitive advantage; participate in internal & external technology communities.
• Communicate technical subject matter clearly and concisely to audiences of various backgrounds.
• Closing Date for Applications: Sunday 17th March 2024
• Please take a copy of the Job Description, as this will not be available post closure of the advert.

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.

Basic Qualifications :

We are looking for professionals with these required skills to achieve our goals:

• BSc degree in a STEM-related discipline (Mathematics or Engineering, Data Science/ML, Statistics, Computer Science, Physics) with extensive experience in data science/related, utilising software engineering best practices/technologies
• Experience of designing, developing and implementing analytical solutions using a variety of tools, with deep experience in SQL and Python. Working knowledge and experience with cloud based and local data science frameworks and toolkits.
• Experience of comparing results from various methodologies then explaining the technical concepts at all levels in the organization, including senior managers/stakeholders.
• The ability to extract insight from large, multiparametric data sets , delivered through experience in two or more of these areas is required: Supervised Learning, Probabilistic Inference, Statistical Modelling, Bayesian Statistics, Unsupervised Learning or Reinforcement Learning
• Working knowledge and experience of project management methodologies, include Agile methodologies and the hypothesis-driven approach 
• Have a strong desire and commitment to coach and develop other, more junior team members, on best practices in data science.

Preferred Qualifications

If you have the following characteristics, it would be a plus:

• Good experience in development of interpretable machine learning to production using a programming language such as Python or R.
• Experience with NLP tooling, including LLM access via API
• Experience in delivering solutions to production via Continuous Integration/Continuous Delivery.
• Experience with MS Azure stack and/or Databricks
• Experience with Docker
• Knowledge and experience of people data landscape .
• Experience in healthcare or pharmaceutical industries.

Why Us?

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class*(*US only).

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.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on Ukdiversity.recruitment@gsk.com or 0808 234 4391.

Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive .

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