Full-Time Senior Data Scientist
Job Description
Senior Data Scientist
Locations: UK – London – Brentford
Time type: Full time
Job Requisition ID: 323427
Why GSK?
At GSK, we have already delivered unprecedented change over the past four years, improving R&D, becoming a leader in Consumer Health, strengthening our leadership, and transforming our commercial execution. Now, we’re making the biggest changes we’ve made to our business in over 20 years. We’re on track to separate and create two new companies in 2022: New GSK with a leading portfolio of vaccines and specialty medicines as well as R&D based on immune system and genetics science; and a new world-leading consumer healthcare company of loved and trusted brands.
With new ambition comes new purpose. For New GSK, this is to unite science, talent and technology to get ahead of disease together – all with the clear ambition of delivering human health impact; stronger and more sustainable shareholder returns; and as a new GSK where outstanding people thrive.
Getting ahead means preventing disease as well as treating it. How we do all this is through our people and our culture. A culture that is ambitious for patients – so we deliver what matters better and faster; accountable for impact – with clear ownership of goals and support to succeed; and where we do the right thing. So, if you’re ready to improve the lives of billions, join us at this exciting moment in our journey. Join our challenge to get Ahead Together.
Job title:
Senior Data Scientist
Overview
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 restructuring initiatives.
Job purpose:
In this role, you will join a small, inter-disciplinary team of Data Scientists, Analysts and Data Engineers, working alongside Business Consultants 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
The Senior Data Scientists in our team play critical role in driving the People Analytics capability forward. This is a hands-on position where you will be empowered to be creative, ambitious and bold.
We work on a variety of business topics, delivering our insights to senior management. We have the ambition to develop scalable data products, to support management and employees to use our insights in the best possible way. Together with our product owners, Data Analysts and Data Engineers, as part of our Agile way of working, you will:
- 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
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 good of experience in data science or related role
- Experience of designing, developing and implementing analytical solutions using a variety of commercial and open-source tools (deep experience using common tools like SQL, Python (preferred) and/or R would be required). 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 create algorithms to extract information from large, multiparametric data sets and deploy them into production to realize significant value.
- Experience in manipulating data in a big data environment
- 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 and be an advocate for datA literacy across the organisation. This also includes working to build and grow a talent pipeline of technical expertise across GSK.
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 in delivering solutions to production via Continuous Integration/Continuous Delivery.
- Experience with MS Azure stack and/or Databricks
- Knowledge and experience of people data landscape .
- Experience in healthcare or pharmaceutical industries.
As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way.
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 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.
Please don’t hesitate to contact us if you’d like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on 0808 234 4391, or send an email target=”_blank” rel=”noopener noreferrer”>
More Information
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Offer Requirements
Skills/Qualifications
PhD
EURAXESS
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