Data Scientist

About the role

Overton is looking for an enthusiastic and talented early/mid career data scientist to join our small, dynamic team. This is an exciting opportunity to join the team at a pivotal stage of our development, and to learn loads about developing a brand new product within an early-stage company.

Overton is a young company with big ambitions to help universities, think tanks and NGOs track how their research translates into real world policy, laws and regulations. Our platform allows users to search over 4.5m policy documents and understand how they link to each other, to academic papers and to individual authors. We use a wide range of techniques to clean and enhance our data, including entity recognition and linking, classifiers and document topic extraction as well as heuristic based approaches.

Our clients include leading global universities, intergovernmental organisations and think tanks who find the existing data invaluable and are keen to have extra data, functionality and features to get the best possible answers to their questions.

That’s where you come in. We need you to help with everything from prioritising and developing new product updates to finding new data sources, experimenting with new ways to enrich the data and maintaining our existing pipelines.

You will be fluent in Python and have experience with web scraping, machine learning pipelines and data analysis & reporting. It would be helpful, though not essential, if you have experience with data visualisation and front end development, familiarity with scholarly metadata, bibliometrics and/or knowledge of the academic, think tank or research impact space.

What you’ll be doing

  • Helping to keep our document index stable & of high quality
  • Identifying, adding, organizing and maintaining new data sources
  • Conceptualizing, prototyping and then implementing new ways to enrich our offering, through entity linking, summarization, topic modelling, query translations and more
  • Helping to run our collaborations with academic researchers
  • Understanding customer use cases and suggesting product improvements
  • Finding interesting stories in the data to develop into blog posts, presentations and reports
  • Creating custom reports for clients

About you

  • 3+ years of professional development experience or a postgraduate degree in a relevant subject
  • Fluent in Python, knowledge of Javascript and PHP would be an advantage
  • Familiarity with Postgres and Elasticsearch
  • Full of ideas about how to improve the product
  • Skilled at understanding user needs
  • Keen to contribute to the growth ambitions of the company
  • Enthusiastic and hard working
  • Curious and always learning

This is a full-time permanent role based in London. We would like someone to be office-based, at least part-time, but, for the right candidate we could be flexible on location/working pattern.

What you’ll get

  • Competitive salary (TBD according to experience)
  • 6% employer pension contribution
  • Enhanced family leave policies
  • Supportive team and friendly work environment
  • Great learning opportunities

If this sounds like your kind of thing, we’d love to hear from you!

Apply with your CV and a non-generic cover letter that explains why you are right for this role and why it interests you. Send your application by email to jobs@overton.io

Deadline 10th October but we are reviewing applications on a rolling basis so please get in touch as soon as possible if you’re interested.

We welcome applications from candidates of all backgrounds, regardless of gender, ethnicity, sexual orientation, disability or parental status. If you need any adjustments to allow you to fully participate in the application and interview process, please just let us know.

You must have the right to work in the UK, but if you already have an employer-sponsored UK visa we may still be able to consider your application – please discuss with jennifer@overton.io