Data Scientist

About the Role

As a Data Scientist at Barclays, you will be part of the Financial Crime Operations team, focusing on data analysis, insight generation, and model-driven decision support across payment screening and sanctions processes. Your daily tasks will involve analyzing large-scale transactional datasets, validating data quality, identifying trends and outliers, and developing analytical outputs to support operational efficiency and risk mitigation.

You will contribute to daily, weekly, and ad-hoc analytics, supporting automation, MI reporting, and machine-learning initiatives. You will work closely with operations, controls, and senior stakeholders to translate data into actionable insights.

Key Responsibilities

• Perform daily analysis of large-scale transactional datasets to identify trends and outliers.
• Develop and maintain analytical tools through programming to generate insights, recognize patterns, and predict behavior.
• Experiment and identify various analytical methods best suited to data challenges.
• Respond to ad-hoc requests and communicate the results of any analysis, trends, and MI to a range of audiences.
• Have an active interest in all aspects of technological infrastructure, suggesting and helping to deliver concepts for more efficient processing across multiple technical disciplines.
• Develop an understanding of Financial Crime preventative measures, systems, and operational processes within Barclays.

Skills & Qualifications

• Strong programming skills in Python and SQL.
• Experience with data visualization tools such as Power BI and Tableau.
• Knowledge of machine learning techniques and experience with developing predictive models.
• Ability to work with large-scale datasets and perform data cleaning, wrangling, and transformation.
• Strong communication and coordination skills.
• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
• Desirable skills include knowledge of Financial Crime Operations domain, end-to-end payment flows, and risk and control.

What You'll Learn

In this role, you will gain hands-on experience with data analysis, machine learning, and data visualization. You will learn to work with large-scale datasets, develop analytical tools, and communicate insights to a range of audiences. You will also develop an understanding of Financial Crime preventative measures, systems, and operational processes within Barclays.

Resume Tip

When applying for this role, make sure to highlight your experience with data analysis, machine learning, and data visualization. Emphasize your ability to work with large-scale datasets, develop analytical tools, and communicate insights to a range of audiences. Also, be sure to mention any relevant certifications or training programs you have completed in data science or related fields.