Data Science Manager

Arch Insurance (UK) Limited; Greater London; On-site; GBP 55,000 - 75,000; Full time

Job summary

Arch Insurance (UK) Limited is seeking an advanced analytics professional to join their team in Greater London. The role involves designing predictive models and collaborating with business partners to deliver insights that drive decisions.

Successful candidates should have a background in statistics or a related field, with hands-on experience in the insurance industry and skills in languages like Python and SQL. The position offers opportunities for mentorship and development within the analytics team.

Qualifications

• Ability to design and implement statistical models.
• Data manipulation and analysis using Python and SQL.
• Familiarity with modern visualization tools like PowerBI.
• Experience in advanced analytics roles, particularly in the insurance sector.

Responsibilities

• Understand and solve business problems with analytics solutions.
• Collaborate in teams to address complex challenges.
• Oversee predictive model development using advanced techniques.
• Provide insights that drive business decisions.

Skills

Statistical modeling

Data manipulation

Analytical skills in Python

Analytical skills in SQL

Project management

Communication skills

Teamwork

Critical thinking

Education

Degree in statistics, mathematics, computer science, or similar fields

Tools

PowerBI

Cloud platforms (Databricks, Snowflake, Azure)

Job description

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.

14101 Arch Europe Insurance Services Ltd