Senior Data Scientist

Join us as a where you will 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.

To be successful as a Senior Data Scientist, you should have the following experience:

Data Manipulation

Proficient in big data technologies (e.g. Spark, Dask, Polars), as well as interacting with databases.

Code Development

• Extensive experience in Python (or Scala), including writing unit tests and creating reusable and maintainable code.
• Experience in collaboratively adding to a production codebase.

Model Development

• Proven track record in building predictive and explainable models in a professional role with industry standard libraries.
• Good understanding of statistical modelling and ML techniques.

Some other highly valued skills include:

Advanced Mathematics, Statistics, or Specialized Knowledge

• Advanced degree with a strong foundation in statistics, mathematics or the sciences.
• Specialized data science knowledge e.g. NLP techniques, generative AI, Bayesian modelling, causal learning.

Data Visualization

Skilled in visualizing analytical outputs in a clear and concise way using tools such as matplotlib, plotly, Tableau etc.

Experience in delivering impactful and innovative solutions in Financial Services (or another regulated industry)

• A clear passion for making financial services more customer-centric through ethical data science practices.
• Demonstrated capacity to drive innovation and continuous improvement.

MLOps

Familiarity with MLOps, model deployment and the monitoring of machine learning systems.

Leadership

Experience in leading a team is beneficial.

You may be assessed on the 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.

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 organization.

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 analyze 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, define jobs and responsibilities, plan for the department’s future needs and operations, counsel employees on performance and contribute to employee pay decisions/changes. 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 – Energize and inspire, A – Align across the enterprise, D – Develop others.
• As an individual contributor, be a subject matter expert within own discipline and guide technical direction. Lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialization to complete assignments. Train, guide and coach less experienced specialists and provide information affecting long-term profits, organizational 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 organization 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.