Data Scientist Ai/ml

**Date live**:
07/25/2025
**Business Area**:
Wholesale Onboarding and Group FCO
**Area of Expertise**:
Risk and Quantitative Analytics
**Contract**:
Permanent
**Reference Code**:
JR-0000062719
Embark on a transformative journey as a Data Scientist AI/ML at Barclays in the Group Control Quantitative Analytics team, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences.
Group Control Quantitative Analytics (GCQA) is a global organization of highly specialized data scientists working on Artificial Intelligence, Machine Learning and Gen AI model development and model management including governance and monitoring. GCQA is led by Remi Cuchillo under Lee Gregory, who is Chief Data and Analytics Officer (CDAO) in Group Control. GCQA is responsible for developing and managing AI/ML/GenAI models (including governance and regular model monitoring) and providing analytical support across different areas including Fraud, Financial Crime, Customer Due Diligence, Controls, Security etc. within Barclays.
The Data Scientist position provides project specific leadership in building targeting solutions that integrate effectively into existing systems and processes while delivering strong and consistent performance. Working with GC CDAO team, the Quantitative Analytics Data Scientist role provides expertise in project design, predictive model development, validation, monitoring, tracking and implementation.
To be successful in this role, you should possess the following skillsets:
Python Programming.
Knowledge of Artificial Intelligence and Machine Learning algorithms including NLP.
SQL.
Spark/PySpark.
Predictive Model development.
Model lifecycle and model management including monitoring, governance and implementation.
DevOps tools like Git/Bitbucket etc.
Project management using JIRA.
**Some other highly valued skills include**:
DevOps tools TeamCity, Jenkins etc.
Knowledge of Financial/Banking Domain.
Knowledge of GenAI tools and working.
AWS.
Databricks.
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 is based in our Noida office.
Purpose of the role
To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
Accountabilities
Design analytics and modelling solutions to complex business problems using domain expertise.
Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
Ensure all development activities are undertaken within the defined control environment.
Analyst Expectations
To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
Requires in-depth technical knowledge and experience in their assigned area of expertise
Thorough understanding of the underlying principles and concepts within the area of expertise
They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
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 develop technical expertise in work area, acting as an advisor where appropriate.
Will have an impact on the work of related teams within the area.
Partner with other functions and business areas.
Takes responsibility for end results of a team’s operational processing and activities.
Escalate breaches of policies / procedure appropriately.
Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
Advise and influence decision making within own area of expertise.
Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rul