Description
We are seeking a Data Scientist to join our team at Barclays, based in Northampton. As a Data Scientist, you will focus on exploring and analysing a variety of data sources to uncover trends, risks and opportunities.
You will transform complex datasets into clear, actionable insights that support decision making, improve business outcomes. These insights will be used within our fraud detection systems to detect and deter fraudsters and in doing so protect our clients.
Your purpose of 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
- 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.
Requirements
- Strong analytical and programming skills, with hands-on experience using SQL and Python and/or SAS to manipulate and analyse large, complex datasets.
- Proven problem-solving capability, with the ability to identify patterns and insights within data and translate them into practical, actionable business solutions.
- Experience managing analytical problems end-to-end, from initial exploration and solution design through to testing, recommendation and implementation.
- Strong communication and stakeholder management skills, with the ability to explain complex analytical concepts and findings clearly to both technical and senior non-technical audiences.
- A degree in Mathematics, Statistics, Computer Science, Data Science or another quantitative discipline, or equivalent relevant professional experience.
Desired Skills
- Experience in financial services, banking or another regulated environment, Fraud Analytics, scam prevention, financial crime, or cybersecurity.
- Knowledge and practical experience of machine-learning techniques, such as classification, anomaly detection, behavioural analytics including appropriate model performance measurement.
- Experience working with modern analytical platforms and technologies such as Databricks, Spark/PySpark, etc.
- Knowledge of BI tools like Tableau, Power BI, etc.