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Data Science Manager

London, United Kingdom

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Arch Capital Group

What you’ll work on

Full posting
  • Oversee building predictive models using GLMs, GBMs, NLP and other machine learning

  • Work with business partners to define problems and prioritize analytics solutions

  • Deliver insights into the business to drive decisions

  • Discover and analyse internal and external datasets for model development

  • Guide, support and mentor the team of predictive modelers and data scientists

From the employer’s posting
Oversee the build of predictive models using advanced analytics techniques including GLMs, GBMs, natural language processing and other machine learning approaches.
Work closely with business partners to understand the business problems they are trying to solve and help develop and prioritize the best-suited analytics solutions.
Develop powerful insights using a variety of analytical tools, techniques, and technologies, and deliver results into the business which drive business decisions.
Discover, explore and analyse internal and external datasets for the purpose of developing advanced analytics models.
Guide, support, mentor and develop the growing team of predictive modelers and data scientists.

What you’ll bring

All qualifications

Core experience

  • Degree in statistics, mathematics, computer science, engineering or similar quantitative fields; or significant experience in advanced data analytics.
  • 14101 Arch Europe Insurance Services Ltd
Qualification wording
Degree in statistics, mathematics, computer science, engineering or similar quantitative fields; or significant experience in advanced data analytics.
14101 Arch Europe Insurance Services Ltd

Tools in this posting

  • Python
  • SQL
  • Azure
  • Databricks
  • Power BI
  • Snowflake
Source — Tool mentions in context
- Ability to design, build and implement statistical models, with an understanding of a range of analytical techniques such as predictive modelling, NLP and data mining. - Data manipulation and analytical skills in languages such as Python and SQL. - Knowledge of modern visualization tools such as PowerBI is a plus.
- Knowledge of modern visualization tools such as PowerBI is a plus. - Familiarity with cloud-based platforms such as Databricks, Snowflake and Azure is an advantage, but not essential. - Effective task / project management and general organization skills.· Excellent verbal and written communications skills; ability to convey complex concepts to technical and non-technical people across the organization.
- Data manipulation and analytical skills in languages such as Python and SQL. - Knowledge of modern visualization tools such as PowerBI is a plus. - Familiarity with cloud-based platforms such as Databricks, Snowflake and Azure is an advantage, but not essential.

Posting record

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Open 5 monthsWe first saw this posting 156 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 26, 2026 · 156 days ago
Recorded sightings
296
Last seen by us
Oct 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

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Job description

View original posting ↗

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.

Job Responsibilities

  • Work closely with business partners to understand the business problems they are trying to solve and help develop and prioritize the best-suited analytics solutions.
  • Collaborate in cross-functional teams and share ideas to solve complex business problems.
  • Build strong partnerships with peers across the organization to support project goals and boarder team needs.
  • Oversee the build of predictive models using advanced analytics techniques including GLMs, GBMs, natural language processing and other machine learning approaches.
  • Develop powerful insights using a variety of analytical tools, techniques, and technologies, and deliver results into the business which drive business decisions.
  • Discover, explore and analyse internal and external datasets for the purpose of developing advanced analytics models.
  • Help establish best practices and repeatable processes for the Strategic Analytics team.
  • Provide thought leadership on new, innovative techniques, approaches and software.
  • Guide, support, mentor and develop the growing team of predictive modelers and data scientists.

Desired Skills/Experience

  • Ability to design, build and implement statistical models, with an understanding of a range of analytical techniques such as predictive modelling, NLP and data mining.
  • Data manipulation and analytical skills in languages such as Python and SQL.
  • Knowledge of modern visualization tools such as PowerBI is a plus.
  • Familiarity with cloud-based platforms such as Databricks, Snowflake and Azure is an advantage, but not essential.
  • Effective task / project management and general organization skills.·       Excellent verbal and written communications skills; ability to convey complex concepts to technical and non-technical people across the organization.
  • Exceptional teamwork skills required to play a key role in cross-functional teams. Ability to collaborate and build trusting relationships with business partners.
  • Natural curiosity to understand the world around you and question as needed.
  • Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces.
  • Ability to apply critical thinking and creative problem-solving skills.

Required Skills/Experience

  • Experience in advanced analytics roles, a significant portion of which should be in the insurance industry.
  • Experience working in an analytical role within a London Market insurance environment is an significant advantage.
  • Hands-on experience developing and deploying real-time predictive models in the London Market.
  • Experience delivering business value from small or non-standard data sets.

Education

  • Degree in statistics, mathematics, computer science, engineering or similar quantitative fields; or significant experience in advanced data analytics.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.

14101 Arch Europe Insurance Services Ltd
Source details

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Location & working pattern

London, United Kingdom

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