Salary 30,000 - 50,000 GBP per year
Requirements:
- - Solid data science skills including experience with Partitioning methods, Imputation techniques, Random forests, GLMs, etc.
- Ability to perform exploratory data analysis and draw insight from noisy data when facing open ended underwriting problems
- Experience coding in Python (essential) and R (preferable)
- Familiarity with common data science libraries (numpy, pandas, scikit-learn, etc.)
- Understanding of ML in production, i.e. version control, testing, model drift, etc.
- A highly motivated self-starter with solid business acumen and enthusiasm to develop new product
Responsibilities:
- As a Data Scientist at Qumata, you would be supporting the development of our insurance products and leading the transformation of insurance worldwide. The role will require you to push forward the effort to replace the standard life and health insurance questionnaires with Qumata's low friction, data driven process built around the models developed by the data science team.
You will develop the capability and business knowledge, along with the technical skills required to design and implement insightful and engaging data driven solutions for our clients. You will work to improve upon and develop new model features and output so the team can deliver the best possible products for our clients.
Responsibilities:
- Data gathering, mining and data driven analysis
- Work with the Qumata team, insurers and other clients to identify and produce key insights about end-users
- Perform model localisation iterations to deliver our solution in new countries
- Improve upon and develop new model features and output
- Demonstrate how our data, algorithms and models can be used, both internally and externally to customers
Technologies:
- Python
- R
- numpy
- pandas
More:
Qumata: A New Standard for Life and Health Insurance Underwriting
Be part of the Tech and Data transformation of an entire sector from its core. We need you to help scale up a pioneer and write history.
Qumata unlocks insights into an individual s current and future health and mortality risks, for anyone equipped with a smartphone, instantaneously and without medical questionnaires or examinations. We work with life and health insurers to help them create a faster, more customer-centric underwriting journey, providing the extra-mortality, extra-morbidity and other parameters for any individual and for 800 medical conditions.
- Founded 2017
- Extension of Series A funding to $23m
- Named one of Forbes "20 Tech-For-Social-Good Startups To Watch" in 2020
- Named in Insurtech and awarded 'Most Innovative Insurtech' by Garmin Health
- A team of 7 in Data Science Department
You will help us revolutionise this industry with a range of clients and partners from small to top-tier Insurers, re-insurers, and MGAs in Europe and APAC.