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Data Scientist

London, United Kingdom

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London, England

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Date live: Jun. 27, 2024

Business Area: Barclays UK

Area of Expertise: Analytics

Reference Code: 90392304

Contract: Permanent

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. 




 #LI-Hybrid

More about working at Barclays

Barclays offices across the UK are designed to be places where our people can come together to do their best work, surrounded by excellent facilities for both work and leisure. These are warm, diverse, supportive communities in some of the UK’s best locations, where everyone can thrive.

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.

Barclays welcomes applications from all candidates and is committed to ensuring reasonable adjustments (accommodations) are put in place to allow for a fair and inclusive recruitment process. For more information and how to request one, please review Adjustments to the recruitment process.

We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports ways to balance your personal needs, alongside the professional needs of our business.

Providing the opportunity for all our employees, globally to work flexibly empowers each of us to work in a way that suits our lives as well as enabling us to better service our customers’ and clients’ needs. Whether you have family commitments or you’re a Carer, or whether you need study time or wish to pursue personal interests, our approach to working flexibly is designed to help you balance your life. If you would like some flexibility then please discuss this with the hiring manager.

We're committed to providing a supportive and simplified experience for our candidates throughout the application and assessment process. Here, you will find information about what to expect and some guidance around your assessment and interview.

While the application process depends on the role, there are some constant steps, which are;

Step 1 - Your application
Step 2 - Your assessment
Step 3 - Your interview
Step 4 - Next steps

We aim to create an inclusive work environment where everyone can reach their full potential. If you require any adjustments to our recruitment process, please click here to learn more.

Find out more information here.

Barclays offers a diverse, inclusive and engaged culture. A place where people can bring their whole selves to work and be respected for who they are, valued for what they do and celebrated for their contribution to our business and our community.
We are an equal opportunity employer and opposed to discrimination on any grounds. It is the policy of Barclays to ensure equal employment opportunity without discrimination or harassment on the basis of race, colour, creed, religion, national origin, alienage or citizenship status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law.

The Barclays Way

This is the spirit of Barclays. It’s why we exist, what we believe and how we behave. But most importantly, it’s how we make decisions, take action and get things done.

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Purpose

Working together for a better financial future.

Values

We believe great talent RISES. It acts with Respect, Integrity, Service, Excellence and Stewardship.

Mindset

We discover our full potential through our desire to Empower, Challenge and Drive each other.