At a Glance
- Tasks: Build and deploy predictive models to tackle pricing, claims, and fraud challenges.
- Company: Join a leading UK insurer with a strong focus on data science and innovation.
- Benefits: Competitive salary, bonus scheme, car allowance, and private medical cover.
- Other info: Flexible work location with opportunities for career growth and innovative challenges.
- Why this job: Make a real impact using cutting-edge machine learning techniques in a respected team.
- Qualifications: Experience in ML projects, strong Python and SQL skills, and stakeholder engagement.
The predicted salary is between 63000 - 77000 £ per year.
I'm hiring a Senior Data Scientist to join a leading UK insurer's Pricing & Data Science function, working on innovative machine learning solutions that directly influence risk assessment, pricing, fraud detection, and commercial performance.
This is a role for someone who enjoys taking models from problem definition through to deployment
, working with modern ML techniques and real-world commercial challenges.
I'm hiring a Senior Data Scientist to join a leading UK insurer's Pricing & Data Science function, working on innovative machine learning solutions that directly influence risk assessment, pricing, fraud detection, and commercial performance.
This is a role for someone who enjoys taking models from problem definition through to deployment
, working with modern ML techniques and real-world commercial challenges.
- 1 day/week (Leicester / London / Bexhill)
- What you'll be doing
- Build and deploy predictive models across pricing, claims, fraud, and risk analytics.
- Engineer new data assets and rating factors to improve pricing performance.
- Identify and leverage new data sources to drive business value.
- Partner with stakeholders across Pricing, Data Science, Analytics, and Engineering teams.
- Own ML projects end-to-end, including EDA, deployment, monitoring, and model refreshes.
- What they're looking for
- Proven experience delivering ML projects from concept to deployment.
- Strong Python and SQL skills.
- Experience with Azure ML, Git, and cloud-based analytics environments.
- Strong stakeholder engagement and commercial problem-solving capability.
- Passion for applying emerging ML techniques to real business problems.
Why join?
- Work in a highly respected pricing and analytics function.
- Bonus scheme + £5k car allowance.
- Private medical cover and strong benefits package.
- Opportunity to work on innovative modelling and pricing challenges at scale.
- #J-18808-Ljbffr
Senior Data Scientist (Pricing) in London employer: Harnham
As a leading specialist data consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Analytics Engineering Consultants to thrive. With a focus on professional development, we offer extensive growth opportunities and the chance to work on high-impact projects across diverse industries, all while enjoying the flexibility of remote work in the UK. Join us to be part of a team that values your expertise and encourages you to influence strategy and drive meaningful change for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (Pricing) in London
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Harnham.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist (Pricing) at Harnham, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist (Pricing) in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Harnham, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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!
How to prepare for a job interview at Harnham
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Harnham!
✨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.
