Data Scientist (AI Engineer) at Barclays

, , India -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

0.0

Posted On

25 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Generative AI, Agentic AI, NLP, Machine Learning, Data Engineering, Data Wrangling, Cloud Integration, AWS, SageMaker, Bedrock, Glue, Lambda, Predictive Models, Data Pipelines, Statistical Models

Industry

Banking

Description

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. 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 Data Scientist (AI Engineer) 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 design and implement advanced data science solutions leveraging Generative AI, machine learning, and cloud-based platforms, enabling predictive insights and innovative business applications. Key Responsibilities: Develop and deploy Generative AI and Agentic AI models using AWS services such as SageMaker and Bedrock Implement autonomous AI agents capable of performing multi-step reasoning, decision-making, and task execution Apply NLP techniques for text analytics, summarization, conversational AI, and intelligent document processing Integrate GenAI and Agentic AI capabilities into business workflows for automated insights and operational efficiency Build scalable data pipelines and workflows using Python, SQL, and AWS cloud infrastructure Conduct model evaluation, monitoring, and retraining to ensure accuracy, adaptability, and compliance Collaborate with cross-functional teams to identify AI-driven opportunities and deliver impactful solutions. Technical Skills required for the role: Experience in Programming & Data Analysis: Python, SQL. Require experience in Machine Learning & AI: Generative AI, Agentic AI, NLP, ML algorithms. Cloud Platforms: AWS (Sagemaker, Bedrock, Glue, Lambda, etc.) Data Engineering: Data wrangling, pipeline development, cloud integration. The Data Scientist role focuses on leveraging ML, Generative AI and AWS cloud technologies to build advanced predictive and NLP models, and deliver scalable AI solutions for business transformation. 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. Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

Responsibilities

The Data Scientist (AI Engineer) will design and implement advanced data science solutions using Generative AI and machine learning techniques to extract insights from data. They will collaborate with business stakeholders to identify opportunities for data-driven decision-making and operational efficiency.