Data Scientist

Founded as an in-house reinsurer, the Hannover Re Group (www.hannover-re.com) is the third largest reinsurance group in the world with the Hannover Re UK Life Branch (HRUK) operating in one of the largest and most competitive global markets. With approximately 3,600 staff worldwide and over 80 professionals based in the London office, we strive to attract high quality and creative thinkers to realise our vision - to be Somewhat Different. We maintain a collaborative management philosophy offering a unique non-hierarchical working environment that recognises that the expertise and engagement of our people are core to the success of our Company. We welcome and embrace diversity of thought, perspective and background where everyone can be their true selves at work and feel accepted, respected and supported. Focussing on attracting exceptional talent, we take a long-term view on development, placing emphasis on challenging our people to realise their ambitions. We pride ourselves on having a strong track record of providing career progression for our staff both locally and internationally.

The Role:

At HRUK we believe superior intelligence supports better decisions - using data insights and the latest research in health and medicine to price and manage our risks and develop tangible commercial benefits for our business. We develop and embed data science tools and techniques to create data insights that will generate opportunities, drive value, make decisions, manage risk, and support innovation. We keep abreast of the latest innovations in data, evaluating and proposing the adoption of new technologies, tools, and methodologies, ensuring that HRUK remains at the forefront of these fields. Combining data science techniques and actuarial analysis, the individual will preprocess and analyse industry datasets using robust data science methods and support the development and implementation of advanced data analytics tools and novel data science and actuarial science techniques. The ideal role holder will be intellectually curious, show initiative and be intrinsically motivated by the pursuit of new insights and knowledge.

Duties & Responsibilities:

1. Support the maintenance of HRUK Experience Analysis tools.
2. Research and analyse insurance relevant data and conduct analysis of the in-force portfolio to identify trends and patterns.
3. Contribute to the development of advanced statistical and predictive analytical techniques and models to enhance HRUK's understanding of biometric and behavioural insurance risks and support the development of the Central Bases and assumptions.
4. Manage own work priorities, work in a highly organised way. Managing colleagues' expectations.
5. Support the application of data science techniques within HRUK including those that create efficiency improvements and provide data insights.
6. Collaborate with and support Business Development by undertaking analysis of client data to support pricing activity and creating material for marketing and client presentations on research topics.
7. Develop relationships and collaborate with internal and external partners (industry, academic, competitor, actuarial, medical and other organisations) to improve HRUK's understanding of Data Science and Biometric Risk.
8. Risks and Controls - Ensure documentation of own work and output is accurate, up-to-date and accessible and identify and enhance the quality and value of processes for the department.
9. Adhere to all Local and Group Guidelines.
10. Support all other department activities as required.

About You

Qualifications Required:

1. Minimum of an Upper Second Class (2:1) degree in data science, statistics, mathematics, computer science, or related field.
2. PhD in a relevant field such as computer science, epidemiology or statistics.

Experience:

1. A minimum of 2 years' experience in a data analytics role or PhD.
2. (Re)insurance experience desirable.
3. Healthcare and medical data experience desirable.

Skills:

1. Knowledge of at least one scripting language (R or Python). Basic knowledge of SQL.
2. Knowledge of data science and statistical techniques including GLM and tree-based models.
3. Experience with cloud services, DevOps and Git version control desirable.
4. Experience building Apps is desirable.

What We Offer

Atmosphere: You will find an international working environment with short decision channels, an open feedback culture and a sense of community shaped by mutual esteem and a readiness to help.

Benefits: Structured onboarding, benefits superior to those of the collective agreement as well as modern offers for personal development, health management and work-life balance are just some of our benefits.

Prospects: You contribute your specialist and methodological expertise and we offer you fresh input and the opportunity to further develop your potential - including room to come up with innovative ideas and act on them!

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