Data Scientist Brentford, England
Job description
Posted Date: Sep 21 2023
Em Digital Manager
Closing Date for Applications – 5th October (COB)
As an Em Digital Manager, your purpose will be to generate and drive digital solutions to deliver step changes in cost reduction, cycle time, supply performance and human efficiency. You will lead the collaboration with others within GSK in the application of data science technologies such as ML and AI.
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
In this role you will
- Apply a broad array of analytic skills including machine learning, deep learning statistics text mining/NLP, and modelling to extract insights into structured and unstructured sources and complimentary real-world and digital information streams.
- Work on and lead several team-based projects guiding in analytical and computational approaches within the data science and AI centre of excellence.
- Work on the latest tools and technologies to improve cost, inventory, supply and human efficiency within external manufacturing.
- Demonstrate a passion and aim to learn and master new technologies and techniques.
- Identify key data sets and drive the creation of ingestion pipelines. Then develop custom data models and algorithms to drive improvements using these data sets.
- Use predictive modelling to increase and optimise end-to-end performance across external manufacturing.
Why you?
Qualifications & Skills:
We are looking for professionals with these required skills to achieve our goals:
- A good honours degree in Statistics / Mathematics / Engineering / Computer Science together with a postgraduate degree (preferably)
- Strong experience in a related industry and/or teaching at undergraduate / postgraduate level (for senior positions)
- extensive understanding of a machine learning, statistics, artificial intelligence methods, continuous use of BI and ML/AI systems
- Technical and theoretical capability in data analytics, statistics, information management and related disciplines including information technology & security.
- Knowledge of GPS, Statistical Process Control, Multivariate Analysis, Artificial Intelligence and Big Data.
- Experience and fluent in the use of data analytics software and programming eg Python & R to generate features and models
Preferred Qualifications & Skills:
If you have the following characteristics, it would be a plus:
- Strong acumen with data visualisation fundamentals
- Effective written and oral communication skills
- Ability to simplify and communicate complex data analytics / statistical / mathematical and process concepts.
- Ability to identify issues requiring data analytics study and applications.
- Experience in visualising/presenting data for partners.
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 [email protected] or 0808 234 4391. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels
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.
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