Description
We are seeking a Data Scientist to join our Decision Intelligence team at Barclays, where you will apply advanced analytics, statistics, and machine learning to solve complex business challenges.
The purpose of this role is 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
- Identify, collect, and extract data from various sources, including internal and external sources.
- Perform data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
- Develop and maintain efficient data pipelines for automated data acquisition and processing.
- Design and conduct statistical and machine learning models to analyse patterns, trends, and relationships in the data.
- Develop and implement 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.
Analyst Expectations
- Meet the needs of stakeholders/customers through specialist advice and support.
- Perform prescribed activities in a timely manner and to a high standard.
- Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to.
- Build relationships with stakeholders/customers to identify and address their needs.
Requirements
- Strong programming skills in Python and SQL.
- Experience developing and deploying machine learning models, including supervised and unsupervised learning techniques.
- Strong understanding of statistical analysis, experimentation, and predictive modelling.
- Experience working with large, complex, and diverse datasets.
- Familiarity with cloud-based analytics platforms such as AWS or equivalent cloud environments.
Desirable skills
- Ability to translate business challenges into analytical solutions and communicate technical concepts to non-technical audiences.
- Strong stakeholder management and influencing skills.
- Commercial mindset with a focus on delivering measurable business impact and customer value.