Data Scientist

Barclays

. Extract and collect data from internal and external sources .

Posted 9/21/2026full-timeNoida • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Science, Machine Learning, and Data Analytics, with strong proficiency in Python and SQL for data manipulation and analysis. Capable of developing predictive models and collaborating with stakeholders to drive data-driven decision-making in Financial Crime Operations and Compliance.

Highest-signal resume keywords

Python ProgrammingSQL ProgrammingMachine Learning TechniquesPower BITableau

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ExtractionData CleaningData TransformationStatistical ModelingPredictive ModelingData VisualizationAnalytical TechniquesData ForensicsETL ProcessesBig Data Technologies

Soft Skills

Analytical SkillsCommunication SkillsPresentation SkillsProblem-SolvingTeam Collaboration

Tools & Technologies

Power BITableauCloud-Based Analytics PlatformsData WarehousingDatabase Technologies

Industry Keywords

Financial Crime OperationsComplianceRisk ManagementSanctions PoliciesEnterprise-Wide Risk Management Framework

Tech Stack

Tools & technologies

CloudETLPythonSQLTableau

About the role

Key responsibilities & impact

Extract and collect data from internal and external sources
Clean, wrangle, and transform data
Develop and maintain automated data pipelines
Design and conduct statistical and machine learning models
Develop predictive models to forecast outcomes and identify risks and opportunities
Collaborate with business stakeholders to create value from data science
Support Financial Crime Screening technological services and deliver high-quality data forensics
Conduct analytical and development work and collaborate with internal technical teams on platform delivery
Monitor compliance with sanctions policies and work practices
Apply statistical, machine learning, and analytical techniques to complex business and operational challenges
Write scalable Python and SQL code to extract, transform, analyse, and visualise datasets
Use Power BI and Tableau to build reports and visualisations
Produce data forensics and advanced analytics for Financial Crime Screening initiatives
Design, develop, and maintain analytical and machine learning solutions
Respond to ad-hoc analytical requests and communicate findings to technical and non-technical stakeholders
Collaborate with data engineering and technology teams on data acquisition, transformation, and optimisation
Support automation, analytics, and AI-driven initiatives aligned with Group strategy
Develop understanding of Financial Crime preventative measures, systems, and operational processes
Manage relationships with business areas, Senior Leadership, and Compliance
Advise on complex issues and support resolution of escalated issues
Identify risk mitigations and develop policies and procedures
Manage risk and strengthen controls
Lead or guide colleagues through complex assignments and collaborate across functions
Perform complex analysis of data from multiple sources to solve problems
Communicate complex and sensitive information and influence stakeholders
Represent the team or department in meetings and site visits

Requirements

What you’ll need

Bachelor's degree or equivalent in Mathematics, Statistics, Engineering, Computer Science, Data Science, or a related quantitative discipline
Relevant experience in Data Science, Data Analytics, Machine Learning, and Business Intelligence
Strong hands-on experience in Python and SQL programming, including data manipulation, data analysis, and solution development
Experience building and maintaining analytical models using statistical and machine learning techniques
Proficient in Power BI and Tableau for dashboard development, visualisation, and business reporting
Strong understanding of data analytics methodologies, exploratory data analysis, and data visualisation best practices
Experience working with large and complex datasets
Strong analytical and quantitative skills
Excellent presentation and communication skills
Knowledge or experience within Financial Crime Operations, Screening, Compliance, or Risk Management
Working knowledge and understanding of end-to-end payment flows
Basic understanding of data engineering concepts, ETL processes, data warehousing, and database server-side technologies
Experience with cloud-based analytics platforms and big data technologies would be advantageous
Team player with strong analytical, presentation, and communication skills
Self-motivated and capable of working independently
Ability to resolve issues in a timely manner and take ownership
Positive attitude to change and desire to solve problems
Ability to maintain Barclays Values and a strict control environment
Proven record of managerial experience in a complex, highly regulated, and audited operational processing area
Ability to represent the team or department in meetings and site visits
Compliance with regulatory requirements, Enterprise-Wide Risk Management Framework, and internal Barclays policies