Data Sciebce Manager

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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.