Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Senior Data Scientist applying data science methods to enhance insurance analytics. Collaborating with technical experts across Europe to support data-informed decision-making.
Responsibilities
- Contribute to data science projects across multiple business areas
- Design and build analytical solutions, including data processing, statistical analysis, and machine learning
- Explore new datasets and identify practical, high-value use cases
- Work collaboratively with technology, product, and data engineering teams to deliver reliable, production-ready solutions
- Communicate analytical findings clearly to both technical and non-technical stakeholders
- Support project planning, including requirements, timelines, and delivery
- Help improve analytics platforms and cloud-based workflows, including testing and migration activities
- Use a combination of open-source and proprietary tools to develop solutions
- Share knowledge and support the development of colleagues through mentoring and collaboration
Requirements
- Professional experience in data science, analytics, or a related field
- Strong experience working with data, including extracting, cleaning, and transforming structured and semi-structured data
- Proficiency in SQL and in at least one programming language such as Python or R
- Experience or interest in scalable data processing (e.g. distributed or cloud-based systems)
- Understanding of data quality, integrity, and maintainable code practices
- Familiarity with version control and collaborative development practices
- Degree in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent experience); advanced degree preferred
- Minimum of 7 years’ relevant professional experience
- British or Irish citizenship and willingness to travel periodically between the UK and Ireland
Benefits
- Private medical benefits
- Wellbeing programs
- Life assurance
- Group income protection
- Access to a competitive contributory pension scheme
- Employee Assistance Programme
- RECARES days, giving you time to support the charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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