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Senior Data Scientist: Pricing & ML for Home Insurance

Hastings Insurance Services

Greater London

Hybrid

GBP 60,000 - 80,000

Full time

Yesterday
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Job summary

A leading insurance provider in the UK seeks a Technical Pricing Manager / Senior Data Scientist to enhance their pricing platform through advanced statistical models and data analytics. The ideal candidate has proven machine learning expertise, strong Python skills, and proficiency in SQL. This role offers competitive salary, hybrid work options, and various benefits including health insurance and annual leave. The company fosters innovation and a supportive culture across their teams.

Benefits

£5k car allowance
Flexible hybrid working
Competitive bonus scheme
Private medical insurance
Life assurance
Income protection
Wellness support
27 days annual leave
Health-care cashback plans
Cycle-to-work scheme
Free onsite facilities

Qualifications

  • Proven track record of delivering commercial value using supervised machine-learning techniques.
  • Advanced Python programming and proficiency with data manipulation/analysis libraries.
  • Proficient in SQL and Git.

Responsibilities

  • Develop and oversee the implementation of statistical models into live pricing.
  • Create tools to manage the company's risk portfolio.
  • Advocate for best practices in data science and software development.

Skills

Machine Learning
Python programming
Data manipulation with NumPy and Pandas
SQL
Git
Project management
Interest in emerging ML techniques

Tools

NumPy
Pandas
scikit-learn
Azure
AWS
GCP
Job description
A leading insurance provider in the UK seeks a Technical Pricing Manager / Senior Data Scientist to enhance their pricing platform through advanced statistical models and data analytics. The ideal candidate has proven machine learning expertise, strong Python skills, and proficiency in SQL. This role offers competitive salary, hybrid work options, and various benefits including health insurance and annual leave. The company fosters innovation and a supportive culture across their teams.
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