Data Science Manager
- Recruiter
- Pearson Whiffin Recruitment Ltd
- Location
- London
- Salary
- 90000.00 - 100000.00 GBP Annual
- Closing date
- 28 Aug 2024
View more categoriesView less categories
- Employer Sector
- Technology, ICT & Telecoms
- Contract Type
- Permanent
- Hours
- Full Time
- Travel
- None
- Job Type
- Analytics, Data Science
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Data Science Manager - London - Hybrid - Excellent salary + Bonus + Career Development
Overview
An exciting opportunity has arisen with a global insurance company for a Data Science Manager. Y
You will clean, organize, sort and analyse collected information to discover insights, patterns or trends that can help businesses make better strategic decisions and implement the best solutions. Data science is about infrastructure, testing, using machine learning for decision making, and data products which will be a major function of your position aswell as overing the team.
Role & 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, natural language processing, and machine learning.
- 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 modellers and data scientists.
Essential 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, R and / or SQL.
- 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
Desirable
- 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.
Package
- Excellent salary - to be discussed upon interest
- Hybrid - 3 days in the office, 2 days remote
- Bonus
- 25 days annual leave + bank holidays (increases to 30 days per year of service)
- 10% pension - they will also match your contribution on top
- Private medical and dental including family cover
- Gym membership
- Discounts - travel, retail, food and many more
- L&D - Career development plans
- Training courses provided by inhouse training academy
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