At a Glance
- Tasks: Develop ML models for pricing and assess customer risk in a digital business.
- Company: Harnham, a leading data and analytics recruitment firm.
- Benefits: Hybrid work model, competitive salary, and opportunities for mentorship.
- Other info: Join a specialist team with excellent career growth potential.
- Why this job: Tackle technical challenges and lead impactful projects in a dynamic environment.
- Qualifications: Experience in data science and machine learning, with strong analytical skills.
The predicted salary is between 60000 - 75000 £ per year.
Harnham - Data and Analytics Recruitment seeks a Senior Data Scientist to join a specialist pricing team.
You will develop pricing-focused ML models, explore new data sources, and shape customer risk assessment across a large-scale digital business.
The role offers technical challenges and visibility, with opportunities to lead projects and mentor juniors. London or Leicester with 1 day/week in the office.
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Senior Data Scientist, Pricing & Risk — Hybrid UK in England employer: Harnham - Data and Analytics Recruitment
Harnham is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation in AI and data analytics thrives. With a strong commitment to employee growth, you will have access to continuous learning opportunities and the chance to lead transformative projects in a vibrant London setting. The hybrid working model ensures a healthy work-life balance, making it an ideal place for professionals seeking meaningful and rewarding careers.
Contact Details:
Harnham - Data and Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist, Pricing & Risk — Hybrid UK in England
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We think you need these skills to ace Senior Data Scientist, Pricing & Risk — Hybrid UK in England
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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