Senior Data Scientist

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.

Join us as a Senior Data Scientist at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences.  In this role, you will be an integral part of our Cyber Fraud Fusion Center, delivering scalable CFFC services to disrupt fraud and protect our customers and clients from economic crime. 

To be successful as a Senior Data Scientist you will need:

Essential Skills/Basic Qualifications: 

• Experience working as data scientist in global organisation, covering broad spectre of analytical skills from data mining, traditional trend analysis to development of advanced machine learning models. Demonstrated ability to coach Data Scientists to deliver models, including project planning and relationship building with model owners and other stakeholders. 
• Ability to enrich, transform and analyse large structured and unstructured datasets including but not limited to internal and external intelligence, fraud and business data in support of cybercrime advanced campaign analysis. Minimum requirement practical experience in: Relational and None-Relational databases, Python, Jupyter Notebook, Hadoop, Spark and Rest APIs 
• Familiar with descriptive and prescriptive analysis, understanding data and distribution machine learning algorithms regression, clustering, bagging boosting, neural networks, confusion matrix, roc-auc curve, type I and type II errors, association analysis, frequent pattern mining, data mining, critical thinking to build KPIs for analysis based on defined problem. 
• Statistics: probability, confidence interval, hypothesis testing, central limit theorem, t-test, z-test, chi-square and ANOVA 
• Ability to design and build automated processes interlinking various sources and destinations in batch or real time including but not limited to REST APIs, databases, SFTP and queues. 

Some other highly valued skills include:

Desirable skills/Additional Qualifications: 

• Experience with fraud detection and prevention systems, translating complex fraudsters modus operandi or behaviours into hypothesis and ML features. 
• Knowledge of latest social engineering tactics used by cybercriminals, particularly in the scams space 
• Broad spectrum of fundamental knowledge in web, networks (e.g. Proxies, VPN, DNS, web and mail servers) and cyber security
• Experience leading Data Scientist teams across multiple locations delivering several concurrent projects.
• Actively participates in and/or monitors research in data sciences methods, methodologies, developments and tooling.

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.

This role will be based out of our Knutsford location.