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.

Join us as a "Senior Data Scientist- VP" at Barclays, where you'll build analytical tools to generate insight, recognise patterns and predict behaviour, and deliver content direct to users of information products. You will work with technical teams, architects, designers, and administrators to overcome technical challenges and to make it happen. You will need to take ownership of key initiatives to deliver results through an agile workflow.

To be successful as an " Senior Data Scientist-VP.", you should have experience with:

Basic/ Essential Skills:

• Exceptional ability to extract strategic insights from large data sets and communicate these to non-technical business stakeholders.
• Experience with multiple of the following methods: PCA, MDS, factor analysis, regression analysis, choice models, cluster analysis, density estimation, kernel methods, Bayesian methods, classification, decision trees, MCMC, systems dynamics, gradient boosting, NLP.
• Significant experience applying machine learning methods with big data technologies.
• Significant experience in Python and the key analytical and machine learning libraries. Able to write production quality code with strong grasp of key coding principles: e.g. separation of concerns, generalization of code.
• Understanding of GenAI , LLMs and the RAG framework.
• Ability to understand and translate the pattern recognition, exploration of the data, machine learning and algorithmic learning.
• Actively seeks out and applies new analytical methods that can improve the speed and quality of the decision takes within Barclays Business.
• Experience in providing technical mentoring to more junior colleagues .

Desirable skillsets/ good to have:

• Masters or PhD in a highly numerate discipline such Statistics, Mathematics, Physics, Computer Science or Engineering with a strong programming background.
• Experienced in creating business models, both financial and consumer behavioral.
• Extensive experience of statistical analysis, data mining and visualization techniques.
• Experience of data warehouse and MI environments and practices with good working knowledge of SQL and at least one business intelligence package (Tableau/PowerBI).
• Experience in PySpark and a Hadoop environment.
• Project management and cross functional matrix leadership experience
• Experience in line management of data scientists.
• Experience in front end development frameworks such as Angular/React Flask/Streamlit.
• MVC Architecture.
• Experience of Agentic AI.
• Educational Qualification – Graduation as a minimum.

.You may be assessed on the key critical skills relevant for success in role, such as experience with design, test and build complex forecast models and simulations to identify causal links between customer behaviour and business opportunities and performanceas well as job-specific skillsets.

This role will be based out of Gurugram.