Join us.


Data Scientist Intern · London

With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology.


The Role

Data Science is at the heart of BenevolentAI, transforming our massive and complex biomedical data into valuable tools for drug discovery. As a Data Scientist Intern, you will work in a multi-disciplinary team of Data Scientists, Software Engineers, and AI scientists in our Knowledge group. You will apply your skills to build robust statistical frameworks and visualizations in order to rigorously understand and evaluate the quality of our data and algorithms for data extraction.

Primary Responsibilities

  • Write data pipelines in python and SQL to get from raw data to data that is ready to be analyzed for insights.
  • Work with your team to establish appropriate data quality controls, benchmarks, and meaningful performance metrics.
  • Design and implement data visualizations to better understand the performance of our products, models and systems in Tableau.
  • Engineer solutions in the context of well-maintained and well-documented code bases.
  • Communicate findings and results to your team.

We are looking for someone with

  • Strong in at least one programming language (including Python).
  • Strong understanding of statistical methods for data curation and analysis.
  • Experience working with data science tools for manipulating and visualizing data (such as pandas, numpy, scikit-learn, matplotlib, etc.)
  • A problem-solving, impact-oriented mindset with an agnostic approach to languages and technology.
  • Team oriented, able to thrive in a multidisciplinary environment.
  • Knowledge of biology or chemistry, and experience working with biomedical data is a plus.
  • Prior experience with a dashboarding tool (e.g. Tableau, PowerBI etc.) preferred.


Applications close on February 12th, 2021. In addition to your CV, please send us a cover letter.

Terms and Conditions

Salary: We offer remuneration for the duration of the internships. However, remuneration remains subject to the University regulations & T&C’s - should they not comply with our policy, we reserve the right to review the salary allowance.

We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey.  If that sounds like a fit for you, hit the apply button and join us.

About us

BenevolentAI (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery and development company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. The Benevolent Platform™ powers a growing in-house pipeline of 13 named drug programmes and over 10 exploratory programmes, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.

Want to do a little more research before you apply?

Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team thinks about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.

Important Note

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