Senior Data Scientist

Job Description

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.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.
• 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 will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

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.

Seeking a talented Senior Data Scientist to join our Data Science team in particular our AI(Artificial Intelligence) incubator where you'll spearhead the evolution of our digital landscape, driving innovation dedicated to driving commercial value from data across the Corporate Bank. In this role, you will have the opportunity to shape and lead projects with other members of the team - leveraging machine learning techniques and AI to extract valuable insights and create tangible business impact. We embrace a design-led thinking approach that emphasizes close collaboration with business stakeholders and a fail-fast mindset. This position offers the chance to work with extensive datasets that span billions of rows, applying state-of-the-art AI techniques to unlock millions in business value.

Key Responsibilities:

• Lead Data Science/GenAI projects leveraging your deep technical skillset in machine learning and AI to guide and mentor other members of the team.
• Build relationships with senior stakeholders across the bank to seek out opportunities to add value through Data Science and GenAI.
• Develop machine learning models and apply AI to deliver commercial value for the Corporate Bank.
• Design and Implement world class GenAI products by leveraging AWS services for data transformation, feature engineering , AI product development and deployment. 
• Critique and suggest ways in which technical methodologies can be improved on projects within the team. Verify that outputs being produced by the team are technically sound and accurate.
• Work closely with our equivalent ML Ops team in technology to streamline the path to production for successful projects.

Essential Skills and Qualifications:

• Extensive experience with working with senior stakeholders across the data science life cycle from inception of an idea to the delivery within a production environment.
• Extensive experience in translating technical work into business terms and communicate value to business stakeholders.
• Expert in applying machine learning techniques to generate business value.(e.g. clustering, classification, regression, NLP techniques) 
• Expert in writing production standard code with strong understanding of key coding principals e.g. separation of concerns, generalisation of code. 
• Extensive experience with AWS data science and AI services, including SageMaker and Bedrock.
• Experience of GenAI , LLMs and the RAG framework.
• Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools.
• Expert knowledge of code management methodologies and ability to implement these on projects.
• Experience of working in a big data environment using PySpark.

Desirable skills/Preferred Qualifications:

• Experience in front end development frameworks such as Angular/React Flask/Streamlit.
• MVC Architecture. 

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

This role will be based from Glasgow or London.