Arch Capital Services LLC Logo

Arch Capital Services LLC

Data Science Manager

Posted 3 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Mid level
In-Office
London, Greater London, England, GBR
Mid level
The Data Science Manager will collaborate with business partners, oversee predictive model building, manage a team, and deliver analytical insights to drive business decisions.
The summary above was generated by AI

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

Similar Jobs

18 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Fintech • Mobile • Payments • Software • Financial Services
The Senior Data Science Manager will lead the automation systems in customer support, focusing on AI applications and team development to enhance customer service efficiency.
Top Skills: Agentic WorkflowsLanggraphLlamaindexLlmPythonSQL
23 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Fintech • Mobile • Payments • Software • Financial Services
Lead data science initiatives for global marketing at Wise, focusing on building actionable models for marketing effectiveness and ROI. Drive growth strategy by partnering with various teams, mentor data science staff, and innovate in developing advanced marketing models.
Top Skills: Bayesian ReasoningMachine LearningNeural NetworksPythonPyTorchSQL
4 Hours Ago
In-Office or Remote
2 Locations
Senior level
Senior level
Retail • Software
Lead and develop a Data Science team to deliver scalable ML/AI solutions for an online Personalisation programme, ensuring impactful customer experiences.
Top Skills: AIData ScienceMl

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account