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Date live: Jan. 15, 2025
Business Area: Analytics Centre of Excellence
Area of Expertise: Data & Analytics
Reference Code: JR-0000031793
Contract: Permanent
Take a look at the map to see what’s nearby. Train stations & bus stops, gyms, restaurants and more.
Explore locationJoin us as a Senior Data Scientist where you will 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.
To be successful as a Senior Data Scientist, you should have the following experience:
Data Manipulation
Proficient in big data technologies (e.g. Spark, Dask, Polars), as well as interacting with databases.
Code Development
Extensive experience in Python (or Scala), including writing unit tests and creating reusable and maintainable code.
Experience in collaboratively adding to a production codebase.
Model Development
Proven track record in building predictive and explainable models in a professional role with industry standard libraries.
Good understanding of statistical modelling and ML techniques.
Some other highly valued skills include:
Advanced Mathematics, Statistics, or Specialized Knowledge
Advanced degree with a strong foundation in statistics, mathematics or the sciences.
Specialised data science knowledge e.g. NLP techniques, generative AI, Bayesian modelling, causal learning
Data Visualization
Skilled in visualizing analytical outputs in a clear and concise way using tools such as matplotlib, plotly, Tableau etc.
Experience in delivering impactful and innovative solutions in Financial Services (or another regulated industry)
A clear passion for making financial services more customer-centric through ethical data science practices.
Demonstrated capacity to drive innovation and continuous improvement.
MLOps
Familiarity with MLOps, model deployment and the monitoring of machine learning systems.
Leadership
Experience in leading a team is beneficial.
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 will be based in London, Northampton or Glasgow.
Purpose of the role
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
Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.