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.

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 Insurtech100 2021 and awarded "Most Innovative Insurtech" by Garmin Health
Over 50 employees globally
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.

Job Description

As a Senior 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

At least 5 years of 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
Degree qualified

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:

Learning and development opportunities
Remote working and adjustable schedule possible
International visibility
Company laptop to work with
Access to the Founders Factory and Plug and Play community

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.

HealthyHealth Group Ltd

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