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
- Data Scientist at Hastings Direct creating predictive models and analytical tools for insurance risk management. Collaborating with Actuaries and Data Engineers to leverage machine learning insights.
Responsibilities
- Create and maintain analytical tools to support in the management of our risk portfolio.
- Develop best in-class models to predict claims outcomes, fraud and other risk KPIs.
- Engineer powerful new rating factors to be deployed into our rating algorithms.
- Identify, analyse and monetise new data sources.
Requirements
- Undergraduate degree in mathematics/statistics or a similarly numerical subject
- Experience building predictive models in a commercial environment.
- Keen interest in emerging ML techniques and their commercial value.
- Proficiency in Python.
- Proficiency in SQL.
- Strong communication skills.
- Ability to work cross-functionally with Data Engineers, Data Scientists, Actuaries and Pricing Analysts.
Benefits
- Flexible working – we champion a flexible hybrid working approach – please speak to your recruiter to discuss in more detail
- Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus
- Financial wellbeing – as well as providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%, we are proud to provide you with an award-winning package which includes – discounts, cashback, free independent mortgage advice and free access to financial wellbeing support
- Mental wellbeing programme – we have the thrive mental health app, our colleague assistance programme available 24/7, our own in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs
- 25 days annual leave + bank holidays, with the option to buy or sell one of your weeks
- Access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more ….
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Clinical Data Manager supporting research projects and managing patient databases at Mass General Brigham. Interact with patients and maintain data integrity in clinical research.
Technical Lead in Data Science guiding analytical systems design and team mentorship for a finance technology company. Collaborating across engineering and research to drive innovation and data excellence.
Technical Lead in Data Science at Voleon, driving the design and implementation of analytical systems. Mentoring a growing team of data scientists while ensuring methodological rigor in finance applications.
Data Scientist developing analytical solutions for customer data transformation and supporting critical business decisions. Focus on quality and integrity of data through statistical models and analysis.
Junior Data Scientist developing demand forecasting models for Nestlé’s Supply Chain team. Collaborating with analysts and planners to improve forecasting tools and processes.
HCM Data and Process Analytics Lead at ABB building business intelligence for HCM solutions. Analyzing data to drive improvements in performance and data quality across the organization.
Data Scientist owning and delivering production - grade data pipelines at Simbe Robotics. Collaborating with Product Management, Engineering, and Commercial teams to surface insights from retail data.
Data and Analytics Manager defining strategies for a digital transportation company connecting freight and truckers in Brazil. Leading initiatives to maximize data value and promote a culture of data - driven decision - making.
Mid - Level Data Scientist leveraging data science techniques for USAA's financial security solutions. Collaborating with various teams to develop advanced analytics and model deployment practices.