Data ScientistHertility Health

London, England, United Kingdom 17-07-2023


Hertility is a women’s health company built by women, for women. We’re shaping the future of reproductive healthcare by pioneering unique diagnostic testing that provides data-driven and advanced insights into reproductive health, fertility decline and the onset of menopause. We provide expert advice, education and access to care - all from the comfort of your home.

31% of women will suffer from a reproductive health issue at some point and through our research, we aim to reduce the time to diagnosis through advanced at-home testing and specialist gynaecological care. We tailor pathways to the individual's reproductive goals, whether it be to explore their ovarian health and fertility options or overall hormonal health, such as confirming a PCOS diagnosis. Currently, we can screen for 18 of the most common gynae pathologies which may lead to reduced fertility and signpost gynae cancers.

Ultimately, our aim is to change attitudes around reproductive health, both for individuals and in the workplace, and to encourage women to be proactive by tracking their reproductive health. We’re calling this the Reproductive Revolution!

The role

We’re looking for a Data Scientist/Machine Learning developer to help us build cutting edge machine learning algorithms for women to manage their hormonal health. This is an exciting opportunity to work with both structured and unstructured data from multiple sources to deliver insights that can change the lives of women everywhere.

Key responsibilities will include:

  • Developing machine learning models to serve internal and external customers.
  • Leveraging Large Language Models to:
    • Extract structure from unstructured data sources.
    • Generate reports.
  • Exploring data to help inform what might be possible to develop in future.
  • Building graph models to encapsulate relationships within healthcare.


In terms of the skills, knowledge and experience we’re looking for, this includes:

  • Experience in building supervised machine learning models in live products (e.g. - Regression, Classification).
  • Experience in the use of unsupervised machine learning models for clustering and/or feature generation for downstream applications.
  • Knowledge of Python programming language and typical ML/numerical computing packages (e.g.- numpy, pandas, matplotlib, scikit-learn, pytorch).
  • Understanding of deep learning methodologies and Large Language Models (using HuggingFace repos) - any experience putting these models into product would be a plus.
  • Understanding of graph structures and, ideally, graph algorithms/learning would be a bonus.
  • Good understanding of software development principles and practices (e.g. - git, typing, TDD, structured code).
  • Hands-on experience with cloud computing services (ideally AWS).
  • Great numerical and analytical skills.
  • Ability to communicate complex technical details to non technical team members.
  • A product mindset.
  • Experience working with healthcare data would be a bonus.
  • Any experience with MLops (e.g. MLFlow) would be an advantage.


We are a young, dynamic team revolutionising women’s health. As our Data Scientist, you will get a salary of between £70k - £90k + equity options as well as:

  • 33 days paid holiday allowance (including public holidays).
  • Company laptop.
  • Flexible working hours - we trust that our team can manage their time and will get the job done.
  • 5% pension scheme matched by 4% employee contribution.
  • Mental health support from an in-house counsellor.
  • Free access to Hertility Health products and services, including free of charge hormone and fertility tests and discount codes for employee friends and family.
  • Opportunities for further learning and development.
  • Enhanced Family Leave policy (maternity leave / paternity leave/ adoption leave).
  • Progressive health leave (menstruation and menopause policies).

Equality & Diversity:

Hertility Health is an equal opportunity employer that is committed to diversity and inclusion both within the workplace and throughout our application process. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We understand that applying for a new job takes a lot of work and we really value your time. We are really looking forward to reading your application.


Applications are now closed