Data Scientist

HFG; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading (Re)insurance firm is seeking a Data Scientist to transform insights into performance-driven strategies. The ideal candidate will have experience in Financial Services, strong skills in R and Python, and a desire to learn about Azure and AI tools. This role involves maintaining legacy R applications and collaborating with software and design specialists. A detail-oriented approach and adaptability in a dynamic environment are essential.

Qualifications

• Experience in the Financial Services sector, preferably in (Re)insurance.
• Proven skills in R and R Shiny development.
• Strong proficiency in Python programming.

Responsibilities

• Transform advanced insights into strategies that enhance performance.
• Collaborate with software engineering and design specialists.
• Maintain legacy R applications while transitioning to Python.

Skills

Financial Services experience

R programming

R Shiny development

Python development

Azure

Machine Learning

Attention to detail

Dynamic environment adaptability

Job description

A leading (Re)insurance firm is looking to hire a Data Scientist to join their growing AI & Data Science function. You will play a key role in transforming advanced insights and market intelligence into strategies that protect businesses and drive performance. You will partner with specialists in software engineering, visualisation, and design, applying data science in a high-impact commercial setting. You will maintain legacy R applications whilst transitioning to the company's Python-based tech stack.

Key Requirements

• Have Financial Services experience, ideally (Re)insurance experience
• Highly skilled in R, with strong experience in R Shiny development.
• Have strong Python development skills
• Desire to learn and apply Azure, Azure DevOps and AI tools
• Machine Learning and AI experience is preferred but not essential
• Have a high attention to detail, demonstrating thoroughness and accuracy
• Ability to thrive in a fast-paced and dynamic environment