Senior Data Scientist - Computer Vision

Location: Brentford

*** Mention DataYoshi when applying ***

Site Name: UK - London - Brentford
Posted Date: Jan 22 2021

Senior Data Scientist – Computer Vision

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 such, you have the opportunity to be a key driver of our success.

GSK CH are global, as such have access to hundreds of data sets where your skills can make a difference. In marketing, customer understanding, new product development, supply chain and finance, we are looking for candidates who can use their knowledge and creativity to make a meaningful impact on human health. The scale of the challenges you will face are global, and the solutions will be too.

We are looking for candidates who will drive a test and learn approach, and who can bring ideas from concept to production. You will be exploring cutting edge computer vision techniques to fuel innovation across the business, from R&D to supply chain. You will help lead complex and diverse projects to leverage ML techniques which will result in measurable commercial benefit. This is a unique opportunity to be part of a team of highly skilled Data Scientists where you have the opportunity to solve really interesting problems using data science. You will also have the opportunity to help build a data science community, as we invest in academic partnerships, mentor and apprenticeship schemes. You will be seen as a leader in your specific academic discipline and your thought leadership will command attention in the wider data science community. GSK has long supported the development of it’s 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, we believe in both health for the planet and human health. We are looking for candidates who feel the same way and want to champion the use of AI for good.

Basic Qualifications:

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

  • Will be curious, enjoy problem solving and have empathy for the problems you are challenged with

  • Will have experience as a data scientist in an industrial environment

  • Demonstrable experience contributing to a data science project lifecycle.

  • Can coordinate and manage competing priorities across a portfolio of projects

  • Compile, integrate, and analyse data from multiple sources to answer business questions

  • Have the ability to conceptualize, formulate, prototype and implement algorithms to solve complex business problems.

  • Experience communicating advanced data science concept's to other business stakeholders.

  • Practical experience developing and implementing machine learning on large data sets.

  • Have scientific mindset and in depth understanding of statistical modelling, mathematical modelling, mathematical foundations of ML and AI algorithms and models.

  • Have a deep knowledge of Linear Algebra and its applications on Image Processing

  • Have a deep knowledge of machine learning applications for computer vision and are a valued and trusted expert.

  • Experience with deep learning frameworks such as PyTorch or TensorFlow

  • In depth understanding of computer vision algorithms such as CNNs and their architectures (e.g. VGG, ResNet, Inception) as well as transfer learning

Desirable Skills:

  • Experience with Cuda and/or OpenCV

  • Experience in using git for version control

  • Have a good working knowledge of cloud based and local data science frameworks and toolkits

  • Are experienced in Agile methodologies and the hypothesis-driven approach

  • Good knowledge in mining large & complex data sets using SQL, Hadoop, NoSQL or Spark.

  • Experience building large scale machine learning systems

People & Team Management

  • Motivate, inspire, coach, mentor colleagues within the Data Science team to help them develop technical excellence.

  • Have the ability to define clear objectives for individuals you may manage.

  • Ensure there is proactive engagement in personal development of themselves and individuals they may manage support by a development plan.

  • Carry out people routines for direct reports functional requirements

Interested in Joining the Team?

Please apply via our online portal providing your CV and Cover Letter.
Please ensure you apply before the 7th February 2021 to ensure you’re in the running!
(Please take a personal copy of the Job Description, as this will not be available online post closure of the advert)

  • LI-GSK


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

As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

*** Mention DataYoshi when applying ***

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