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Selected role

Data Scientist

Barclays London, ENG, GB

Senior Full-time

Join us as a Data Scientist, where you will drive innovation and deliver commercial value from data across the Corporate Bank. You’ll work closely with the Data Science team to shape projects, leveraging Machine Learning and Generative AI to extract insights and deliver tangible business impact. Using a design-led approach and a “fail-fast” mindset, you’ll collaborate with business stakeholders to identify opportunities and prototype solutions. This role offers the chance to work with extensive datasets and apply cutting-edge AI techniques to unlock material business value.

Essential Skills / Basic Qualifications:

Bachelor’s or Master’s degree in Data Science (or similar) or equivalent commercial experience.
Experience working with stakeholders to deliver ideas from inception to production, translating technical work into clear business value.
Hands-on experience applying Machine Learning techniques (e.g., clustering, classification, regression, NLP) to drive business outcomes.
Proficient coding skills in Python and SQL, with the ability to write modular, production-ready code and follow good development practices.
Familiarity with AWS data science/AI services (e.g., SageMaker, Bedrock) and understanding of Generative AI, LLMs, and RAG frameworks.
Competent in data visualisation (Tableau preferred; QlikView, Power BI or similar advantageous).
Knowledge of code management practices and a proactive, self-motivated approach to learning new tools, skills, and techniques.

Desirable Skills:

Experience working in a big data environment using PySpark.
Ability to build close-to-production standard pipelines for data analysis / ML / visualisation.
Front-end or lightweight app development experience (e.g., Angular/React, Flask/Streamlit) and/or familiarity with MVC architecture.
Experience of Agentic AI.
Working knowledge of applied statistics; interest/experience in deep learning models beneficial.

This role is based in London or Glasgow.

You may be assessed on the key critical skills relevant for this role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

Purpose of the role

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.

Accountabilities

Identification, collection, extraction of data from various sources, including internal and external sources.
Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
Development and maintenance of efficient data pipelines for automated data acquisition and processing.
Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

Analyst Expectations

To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
Requires in-depth technical knowledge and experience in their assigned area of expertise
Thorough understanding of the underlying principles and concepts within the area of expertise
They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
Will have an impact on the work of related teams within the area.
Partner with other functions and business areas.
Takes responsibility for end results of a team’s operational processing and activities.
Escalate breaches of policies / procedure appropriately.
Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
Advise and influence decision making within own area of expertise.
Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Make evaluative judgements based on the analysis of factual information, paying attention to detail.
Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
Guide and persuade team members and communicate complex / sensitive information.
Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

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