Data Scientist

Data Scientist London Glasgow Northampton

As a Barclays Data Scientist, get an exciting opportunity to develop and deploy machine learning applications that achieve transformative outcomes in support of and for BUK and our customers. Your primary focus for this role is on writing rigorous and robust code to underpin better pricing, marketing, and affordability models, as well as advanced customer and channel analytics. These models in turn power new commercial propositions, enhanced efficiencies, and excellent risk controls.

Barclays is one of the world's largest and most respected financial institutions, with 329 years of success, quality, and innovation behind us. We offer careers that provide endless opportunity – helping millions of individuals and businesses thrive and creating financial and digital solutions that the world now takes for granted.

This role will be based from either London, Glasgow and Northampton. We will confirm your place of work at the point of offer, ensuring that this is considered in line with our future ways of working and overall location strategy. The hiring manager for the role will discuss the appropriate defined time in office for the role with you as part of the application process.

At Barclays, we offer a hybrid working experience that blends the positives of working alongside colleagues at our onsite locations, together with working from home. We have a structured approach where colleagues work at an onsite location on fixed, ‘anchor’, days of the week, for a minimum of two days a week or more, as set by the business area (or nearest equivalent if working part-time hours). Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that as we continue to embed our hybrid working environment, we remain in a test and learn phase, which means that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business.

What will you be doing?

• Designing and delivering transformative data science projects as part of diverse, multifunctional teams, utilising a diverse range of data sources
• Identifying and applying appropriate analytical techniques in building predictive and prescriptive models
• Building Python applications to extract, transform, and examine various types of data, especially at scale and for constructing robust pipelines often combining multiple sources
• Developing and deploying machine learning applications using DevOps tools and in accordance with governed patterns of production
• Translating modelling approach and outputs into business implications that are interpretable and exciting to non-technical audiences through persuasive and transparent presentations
• Spearheading exploration of data in various forms and from multiple sources, and handling data mismatch and inconsistencies to extract relevant insights useful for the business
• Documenting own code appropriately so it is easily readable, repeatable, and extensible, and conducting peer review on the code of other colleagues in the team

What we’re looking for:

• Experience building standard supervised (GLM, ensemble techniques) and unsupervised (clustering) models in prior professional roles, and an understanding of industry libraries (pandas, sklearn, keras etc)
• Proficiency in big data technologies (spark, dask) and databases (SQL, NoSQL)
• Significant understanding of and expertise in Python, including writing unit tests, building packages, and writing reusable/maintainable code
• Ability to understand and explain modelling techniques and visualise analytical results (e.g., matplotlib/seaborn/plotly/D3/tableau)

Skills that will help you in the role:

• Skilled at pitching ideas and analytical results to connect with people in a way that has impact and influence
• Understanding and demonstrated evidence of building analytical solutions in an industry setting
• Prior usage of continuous integration/development tools (e.g., Jenkins and Spark ML pipelines)
• Experience in any of these specialist areas: reinforcement learning, NLP, Bayesian techniques/generative models

Where will you be working?

For this role, you can work in three locations: London, Northampton, and Glasgow.

London In the heart of Canary Wharf, our headquarters at Churchill Place boasts onsite amenities such as; a gym, staff restaurant and deli bar, and is easily accessible by tube and bus links. With a population of around 5000 staff the atmosphere is second to none with a real buzz being created around the offices within.

Northampton Northampton was the birthplace of Barclaycard in 1966 and we've been based in Pavilion Drive since the building opened in 1997.

Glasgow Our new state-of-the-art Campus, right in the heart of Glasgow is a hub of creative collaboration. A place where everyone can bring their true selves to work and reach their full potential.