Data Sciebce Manager

Arch Insurance (UK) Limited; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Arch Insurance (UK) Limited in London is seeking a Data Science Manager to lead advanced analytics efforts, build predictive models and translate insights into strategic business decisions.

You will collaborate with business partners, mentor a growing team of data scientists, and champion best practices across the Strategic Analytics group. Experience in London Market insurance and NLP/ML techniques is highly valued.

Qualifications

• Design, build and implement statistical models with predictive modelling, NLP, and data mining.
• Proficient in Python and SQL for data manipulation and analysis.
• Experience in advanced analytics within the insurance industry.
• London Market insurance environment experience is advantageous.
• Hands-on development and deployment of real-time predictive models.
• Experience delivering business value from small or non-standard datasets.

Responsibilities

• Work closely with business partners to understand problems and develop analytics solutions.
• Collaborate in cross-functional teams and share ideas to solve complex business problems.
• Oversee the build of predictive models using advanced analytics techniques.
• Develop insights using diverse tools and deliver results to drive business decisions.
• Discover and analyze datasets for advanced analytics models.
• Help establish best practices and repeatable processes for the Strategic Analytics team.
• Provide thought leadership on new techniques and software.
• Guide, mentor and develop the growing data science team.

Skills

Predictive modelling

NLP

Data mining

Python

SQL

PowerBI

Databricks

Snowflake

Azure

Teamwork

Communication

Education

Degree in statistics

Mathematics

Computer science

Engineering

Tools

PowerBI

Databricks

Snowflake

Azure

Job description

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Data Sciebce Manager

Organisation Arch Insurance (UK) Limited

Organisation Arch Insurance (UK) Limited Locations

London, UK

Application Deadline 26 days remaining

• 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.