Decision Scientist

Purpose of the role

To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments. 

Accountabilities

• Identification and extraction of relevant data from various internal and external sources.
• Performing sensitivity analysis and scenario planning.
• Monitoring and evaluation of the performance of existing models.
• Development and implementation of data quality control procedures.
• Building and validation of quantitative models to support decision-making across different business areas.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• 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 lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders 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.

Embark on a transformative journey as Decision Scientist at Barclays, where you will play a pivotal role to manage operations within a business area and maintain processes with risk management initiatives. You will take ownership of your work and provide first-class support to our clients with expertise and care.

Purpose of the role:

To enable data-driven decision-making by leveraging advanced analytics, machine learning, and generative AI techniques, while utilizing modern data platforms and visualization tools to deliver actionable insights for business impact.

Accountabilities are given below:

• Perform deep-dive exploratory and diagnostic analytics to uncover patterns and trends in large, complex datasets

• Develop and validate predictive models using machine learning techniques for forecasting and business impact analysis

• Apply Natural Language Processing (NLP) and Generative AI (e.g., AWS Bedrock) for advanced data analysis and insight generation

• Design and implement scalable data workflows using SQL and Python for efficient data extraction and transformation

• Create compelling dashboards and visualizations using Tableau/Power BI to communicate insights effectively

• Prepare executive-level presentations and reports using PowerPoint and Excel for stakeholder communication

• Collaborate with cross-functional teams to translate business problems into analytical solutions and deliver quick-turnaround assignments.

Technical skills required for this role include:

• Experience in Programming & Data Analysis: Python, SQL. Machine Learning & AI: ML algorithms, NLP, Generative AI (AWS Bedrock) Cloud Platforms: AWS.

• Visualization & Reporting: Tableau, Power BI, PowerPoint, Excel.

• Require experience in Data Handling: Data wrangling, quality checks, and performance monitoring.

The Decision Scientist role combines advanced analytics, ML, and Gen AI capabilities to deliver actionable insights, predictive models, and business recommendations, leveraging tools like Python, SQL, AWS Sage Maker, Tableau, and Power BI.

This role requires a flexible working approach, ensuring availability during select hours that overlap with US-based partners and stakeholders.

You may be assessed on key essential skills relevant to succeed 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 is based out of Noida.