Job Description

Company Description

https://qumata.com

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.

The Qumata model uses data to calculate the risk of diagnosis for over 800 conditions, along with Extra Mortalities and Morbidities. This can be used to save applicants hours filling out long insurer questionnaires or visiting the doctor, and disrupting the traditional underwriting process for the benefit of the early adopters.

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 Insurtech100 2021 and awarded "Most Innovative Insurtech" by Garmin Health

Big data & analytics - InsurTech

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.



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

Qualifications

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 products

A plus:

An in-depth understanding of the actuarial techniques in insurance

You have delivered a data product from exploratory data analysis through to production

Tableau/Power Bi capabilities to create reports and to value insights

An understanding of insurance and/or health analytics

Keen interest in AI and machine learning

Ability to work in agile environment

Happy to present findings and insights directly to customers

Willing to get hands-on with data engineering tasks

Additional Information

Benefits:

Small, autonomous, multi-cultural teams of 3 to 5

Learning and development opportunities

Remote working and adjustable schedule possible

Annual company trip(s) abroad (once restrictions allow)

International visibility

Access to the Founders Factory and Plug and Play community

25 days vacation + Bank Holidays

Equal Opportunities

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.