Support and guide a team of data scientists through thoughtful mentorship, regular feedback and career development conversations that nurture individual growth
Cultivate a collaborative and curious team environment by encouraging exploration of new tools, techniques and approaches in data science
Build strong relationships with internal partners to co-design data science projects that reflect regulatory priorities and contribute meaningfully to strategic goals
Take a proactive role in shaping and leading initiatives within the Enforcement & Financial Crime Data Science Unit, helping drive progress on impactful programmes
Work closely with data engineering and governance colleagues to ensure data pipelines are secure, scalable and designed to meet evolving needs
Champion excellence in data science by promoting best practices, conducting supportive code reviews and contributing to efforts that enhance financial crime detection and enforcement
Requirements
Experience in Python, R or other object-oriented languages, applying diverse data science techniques
Experience of leading key workstreams within complex, cross-functional projects, collaborating with stakeholders and ensuring appropriate resourcing to deliver outcomes
Experience of collaborating with data engineering and governance teams to maintain and optimise data pipelines
Skilled in designing and delivering analytics projects using large, structured and unstructured datasets
Effective collaboration with technical and non-technical stakeholders to develop solutions
Experience in project leadership, managing, mentoring and developing junior data scientists
Clear communication of insights to stakeholders
Benefits
25 days annual leave plus bank holidays
Hybrid model with up to 60% remote work
Non-contributory pension (8–12% depending on age) and life assurance at eight times your salary
Private healthcare with Bupa, income protection, and 24/7 Employee Assistance
35 hours of paid volunteering annually
A flexible benefits scheme designed around your lifestyle
Director of Data Science at Kalderos overseeing data functions and mentoring teams while driving product development. Focus on improving healthcare pricing transparency with data analytics.
Data Science Manager leading high - level technical AI projects and mentoring a team of data scientists. Responsible for client projects, technical advice, and business development.
Assistant Manager in Data Science developing predictive models and analytics for organizational decision - making. Leading the data science team and ensuring model quality and integration into processes.
Assistant Manager - Data Science developing AI solutions using deep learning and LLMs. Working with computer vision techniques to extract content from various media.
Data Scientist building machine learning models at Capital One to enhance decision accuracy and efficiency. Collaborating with data scientists, software engineers, and product managers across multiple projects.
Data Scientist responsible for implementing AI initiatives in aerospace industry at ArianeGroup. Collaborating with teams to enhance operational efficiency through AI and data management.
AI support engineer for Reactor Servicing Directorate at OLH Inc. Designing, developing, and implementing AI for enhanced information retrieval and safety documentation.
Data Scientist transforming raw financial data into intelligent experiences for customers. Collaborating with engineering teams to develop AI/ML solutions for behavioral analytics in fintech services.
Data Scientist developing machine learning models for marketing and risk decisions at Capital One. Collaborating cross - functionally to influence business strategies using data - driven insights.