Senior Data Scientist |

Full Time
United States
Posted 1 month ago

Company Description

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. 


  • 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


  • 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


  • 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.

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