Senior Data Scientist

Description:

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GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease – so the health of billions of people can be positively impacted and so stronger, more sustainable shareholder returns can be delivered – as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and GSK aims to impact the health of 2.5 billion people around the world in the next 10 years.

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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 their digital transformation and tackle their most impactful business challenges. You will be responsible for integrating and analysing complex, high dimensional data sets, and building 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 their 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 their 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.

Basic Qualifications

* 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

* Extensive 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

* Background in Software Engineering

* 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