Senior ML Engineer

Why Consumer Healthcare?

In GSK Consumer Healthcare, we are on an incredible journey as we prepare to create a new, standalone, world leading company with a 100% single-minded focus on everyday health. We are doing this at a time when the work we do has never mattered more. With the COVID pandemic, people are increasingly looking for ways to manage their own health and wellbeing and to take care of their families. This is where we come in. With category leading brands such as Sensodyne, Voltaren and Centrum, built on trusted science and human understanding, and combined with our passion, knowledge and expertise, we are uniquely placed to deliver better everyday health to millions of people around the world and grow a strong, successful business. This is an opportunity to be part of something special.

This is an exciting opportunity to join a passionate team working to support GSK Consumer Healthcare in its journey to drive and define consumer healthcare in the digital age. AI is a key tenet underpinning our transformation journey following the joint venture with Pfizer and our plan to list as a separate company next year. As a leader, you will be critical to our success.

Our organisation is undergoing agile transformation. This role is ideal for a person who can provide leadership and vision to transform the organisation into a product and value-led mindset. You will be confident in working in partnership with senior stakeholders from across the business. You will use your extensive scientific background to discover business value across our extensive data landscape.

This is a unique opportunity will work alongside a team of highly skilled Data Scientists & Engineers on the transformation of engineering to support AI initiatives. You will be supporting the exploration of cutting edge ML techniques in the marketing and digital-marketing space to discover patterns and predictions to help solve customer needs. You will help lead complex and diverse projects to leverage Data Science techniques which will result in measurable commercial benefit.

You will also have the opportunity to help build our wider data science community, as we invest in academic partnerships, mentor and apprenticeship schemes. You will be seen as a leader in the machine learning engineering discipline and your thought leadership will command attention in the wider data science community. GSK has long supported the development of its employees and you will be supported to grow and progress in your career.

You will also be excited to champion our Data for Good agenda through sustainable projects and company supported pro-bono charity work. Data ethics are important to us and we are looking for candidates who feel the same way.

Key Responsibilities

Looking for 8 to 16 yrs of experience and 5+ yrs of relevant experience in ML Engineering.

People & Team Management

As a Senior ML engineer, you:

• Motivate, inspire, coach, mentor colleagues & apprentices within the Data Science team to help them develop technical excellence
• Motivate, inspire, coach, mentor business partners and stakeholders to help them identify new transformational possibilities that Machine Learning enables

Functional Requirements

• Contribute to all aspects of the Data Science Project Lifecycle, with a focus on scalable operation and productionisation.
• Can coordinate and manage competing priorities across a portfolio of projects
• Provide leadership and guidance on the development and monitoring of ongoing data engineering pipelines and the delivery of ML models from prototypes to production.
• Can conceptualize, formulate, prototype and implement ML pipelines to capture customer behaviour and solve business problems
• Proven extensive experience developing and implementing Machine Learning engineering pipelines on large data sets
• Own and define the key performance indicators (KPIs) and diagnostics to measure performance against business goals
• Ability to influence across organisations, proven collaboration skills, comfortable working with ambiguity, ability to make quick, informed decisions taking into account trade-offs.
• Compile, integrate, and analyse data from multiple sources to enable the data scientists to answer business questions
• Be an expert in data modelling and data architecture on complex data sets using SQL, Hadoop, NoSQL and Spark or other distributed computed systems.

Domain Expertise

• Have a good working knowledge cloud based and local data science frameworks and toolkits.
• Are experienced in Agile methodologies and the hypothesis-driven approach
• Have a deep knowledge of a sufficiently broad area of technical specialism in ML engineering methodology and best practices and are a valued and trusted expert
• Have a practical experience productionising machine learning, Deep Learning and natural language understanding/processing models
• Experience with DevOPs- CI/CD, Azure, Databricks, pyTorch or TensorFlow.

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• LI-GSK

Our goal is to be one of the world’s most innovative, best performing and trusted healthcare companies. We believe that we all bring something unique to GSK and when we combine our knowledge, experiences and styles together, the impact is incredible. Come join our adventure at GSK where you will be inspired to do your best work for our patients and consumers. A place where you can be you, feel good and keep growing.

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