At a Glance
- Tasks: Tackle complex pricing problems using machine learning and large datasets.
- Company: Established UK insurance provider with a strong tech focus.
- Benefits: Remote work, competitive salary, and opportunities for mentorship.
- Other info: Join a small, collaborative team with excellent growth potential.
- Why this job: Make a real impact on pricing strategies for millions of customers.
- Qualifications: Experience in data science, Python, SQL, and cloud environments.
The predicted salary is between 60000 - 80000 £ per year.
As a Senior Data Scientist, you will work on complex pricing and customer selection problems, using modern machine learning and huge, messy datasets to shape how millions of customers are priced and selected.
They are a well-established UK general insurance provider with a strong focus on car, van, bike and home insurance. Data science and analytics sit at the core of their strategy, supported by significant investment in cloud technology and digital platforms. Their pricing and data science capability is regarded as one of the strongest in the UK insurance market. You will join a profitable, tech enabled organisation with the scale, data and backing to do cutting edge work.
It is a small, collaborative team of around six people, where you will provide technical leadership and mentor a graduate data scientist.
As a Senior Data Scientist, you will:
- Focus on pricing and customer selection for car and van insurance within the Alternative Pricing Product team.
- Work with very large, messy datasets across multiple product lines, leading data exploration, cleaning and feature engineering.
- Deploy models into production using Python, SQL, Azure ML and an internal deployment platform.
- Collaborate with pricing, risk and product stakeholders to test ideas, run experiments and influence pricing strategy.
- Have strong commercial experience as a Data Scientist or in a similar analytics role working on predictive modelling.
- Possess hands-on experience building and deploying machine learning models using Python and SQL, ideally in a cloud environment such as Azure.
- Have practical experience with tree based methods such as XGBoost or CatBoost, and an interest in geospatial or graph based modelling.
- Be confident working with large scale, messy, multi source datasets, including complex data cleansing and feature engineering.
- Have experience solving pricing, risk or customer prediction problems and understanding how models drive profit, loss and customer outcomes.
If you are interested in this Senior Data Scientist opportunity in Alternative Pricing, please apply with your CV to be considered for the next stage of the process.
Data Science Data Science Senior Data Scientist (Python) (Remote) in Loughborough employer: Harnham
As a leading UK general insurance provider, we pride ourselves on fostering a dynamic and collaborative work environment where data science is at the forefront of our strategy. Our commitment to employee growth is evident through mentorship opportunities and significant investment in cutting-edge technology, allowing you to tackle complex pricing challenges while making a meaningful impact on millions of customers. Join us to be part of a small, innovative team that values your expertise and encourages professional development in a tech-enabled setting.
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We think this is how you could land Data Science Data Science Senior Data Scientist (Python) (Remote) in Loughborough
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We think you need these skills to ace Data Science Data Science Senior Data Scientist (Python) (Remote) in Loughborough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Harnham. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
