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Data Science Manager

Arch

London, United KingdomData
Before you apply

Role details

The practical picture
Work arrangement
Hybrid
Employment
Full-time
Eligible locations
United Kingdom

Work & location

Office locations
London, United Kingdom, GB

Experience & eligibility

Skills
  • Python
  • SQL
  • Predictive Modeling
  • Machine Learning

Inside the role

Department
Data Science / Analytics
Role signal brief

The role, at a glance

Extracted from the source posting · 95% confidence

Arch is hiring a Data Science Manager in London to lead the build and deployment of predictive models within their Strategic Analytics team. The role requires strong experience in advanced analytics within the insurance industry, specifically in the London Market, and involves mentoring data scientists and establishing best practices. Candidates need a degree in a quantitative field or equivalent experience, along with proficiency in Python, SQL, and machine learning techniques.

What you need

  • Experience in advanced analytics roles, a significant portion of which should be in the insurance industry.
  • 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.
  • 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.
  • Effective task / project management and general organization skills.

What you will own

  • Work closely with business partners to understand business problems and develop/prioritize best-suited analytics solutions.
  • Collaborate in cross-functional teams to solve complex business problems.
  • Build strong partnerships with peers across the organization to support project goals.
  • Oversee the build of predictive models using advanced analytics techniques including GLMs, GBMs, NLP, and machine learning.
  • Develop insights using analytical tools and deliver results that drive business decisions.
  • Discover, explore, and analyze internal/external datasets for advanced analytics model development.
Core skills
PythonSQLPredictive ModelingMachine Learning
Internal freshness window ends Oct 22, 2026
View source evidence
  • applicant_location_requirements “Job location: London, United Kingdom”
  • category “Data Science Manager”
  • contract_duration “create a job alert... Join our talent community... If this job isn’t the right fit”
  • department “Strategic Analytics team”
  • employment_types “Data Science Manager”
  • education_requirements “Degree in statistics, mathematics, computer science, engineering or similar quantitative fields”
  • must_have “Experience in advanced analytics roles, a significant portion of which should be in the insurance industry.”
  • workplace_type “Job location: London, United Kingdom”
  • skills “Data manipulation and analytical skills in languages such as Python and SQL.”
  • job_locations “London, United Kingdom”
pythonsqlpredictive modelingmachine learning
Role brief

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