Data Scientist

Data Scientist

Full-Time 38600 - 53000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead data science projects to create impactful solutions for early childhood development.
  • Company: Nesta, the UK's innovation agency for social good, focused on societal challenges.
  • Benefits: Competitive salary, private medical insurance, flexible working, and more.
  • Other info: Join a diverse team dedicated to innovation and social impact.
  • Why this job: Make a real difference in children's lives while developing your data science skills.
  • Qualifications: Experience in Python programming and data analysis; growth mindset encouraged.

The predicted salary is between 38600 - 53000 £ per year.

£38,600 - £53,000 (offers are expected to be made towards the bottom of the band) plus excellent benefits.

We are recruiting a Data Scientist to be embedded in our Fairer Start Mission.

About Nesta: We are Nesta, the UK’s innovation agency for social good. We design, test and scale solutions to society’s biggest problems. Our three missions are to give every child a fair start, help people live healthy lives, and create a sustainable future where the economy works for both people and the planet. For over 20 years, we have worked to support, encourage and inspire innovation.

The role: Nesta’s Fairer Start Mission is looking for a Data Scientist to lead projects that bring the best approaches from data science and analytics to impact our mission goal. Our work is highly varied, and could include training machine learning models, building web applications, or using a range of analytical techniques to answer questions and generate solutions to tough policy challenges. In the early years, this often means extracting insights from unstructured reports, administrative data, and complex research projects, and turning them into actionable insights for policy makers, local authorities, and individuals. This is an opportunity to play a role in delivering data science projects. If you have a strong background working with data and are motivated by deploying creative data science solutions, as well as contributing to real‑world outcomes for public benefit, then this role is for you.

The team: In Nesta’s ‘A Fairer Start’ mission, our goal is that every child in the UK has the same chance of developing to their full potential in the early years. Working across government, local authorities, academics, and the private sector, we deliver a range of projects to achieve our mission goal by 2030.

The person: We are a team of analytical and technical experts from a range of backgrounds bound by the drive to use our expertise to have social impact. A strong candidate for this role will be interested in putting their analytical and data science skills to work to achieve impact in the early years. Working as part of a wider community of data scientists and quantitative researchers, you will be supported to exercise a significant range of techniques and select the most appropriate methods for the task at hand. You will be used to working flexibly and quickly, adapting to new domain and project contexts alongside your colleagues. Critically, this role requires strong applied research skills – the ability to deliver work to the rigor and standards necessary for impact while working closely and collaboratively with other members across the team and wider organisation. We don’t expect you to be an expert at this stage, but we want you to come to Nesta with a growth mindset where you are ready to experiment and learn.

As a Data Scientist at Nesta you will:

  • Deliver analytical components of projects that advance the A Fairer Start mission, ranging from research and analysis to machine learning modelling;
  • Build pipelines, clean and analyse datasets using appropriate tools and methods, from wrapping APIs to scraping unstructured data;
  • Develop clear and informative data visualisations and outputs;
  • Design and scope projects in collaboration with technical colleagues, domain experts and practitioners from other disciplines;
  • Communicate outputs of your work to a wide range of internal and external audiences;
  • Work in a multidisciplinary team, collaborating with designers, behavioural scientists and researchers;
  • Alongside other quantitative and data science specialists ensure that all quantitative analysis work is reproducible, sustainable, and ethically considered; help the team stay at the cutting edge by keeping abreast of new techniques and developments in the field and seeking ways to use them.

Skills and Qualifications:

  • Experience programming in Python;
  • Experience using data and evidence to drive policy development or decision making;
  • Strong data analysis skills, which might include machine learning, statistical methods, causal inference or other techniques;
  • Ability to scope and prioritise research questions to maximise impact, balancing methodological rigour with practical resource limitations;
  • Willingness to be an active team member who collaborates with others and contributes to strengthening team connections;
  • Ability to apply data science approaches that will solve problems and answer questions;
  • Ability to communicate with technical and non-technical stakeholders, with evidence of clear and structured written outputs such as blogs, reports or papers;
  • Experience of working in multi-disciplinary teams making use of mixed research or innovation methods;
  • Experience using Git and GitHub (or equivalent) for version control;
  • A Bachelor or Masters qualification in a relevant quantitative discipline and relevant experience in academia, industry or public/third sector;
  • Knowledge of early childhood development or UK early years policy;
  • A degree of experience of data engineering methods such as scalable data collection (e.g. APIs, web-scraping), data pipeline technologies (e.g. Airflow, Luigi, Metaflow) or database management systems (SQL or NoSQL);
  • Experience of working in a policy context for a consultancy, think tank or other fast paced research environment.

What we offer:

  • Salary: £38,600 - £53,000 (offers are expected to be made at the bottom of the band) plus array of benefits, including private medical insurance, dental insurance, the ability to buy and sell annual leave, eyecare vouchers and more;
  • Location: This role is based in London, hybrid working arrangement with a minimum of two days in the office;
  • Term: Permanent;
  • Hours: This is a full-time role but we offer a range of flexible working arrangements and encourage our people to take advantage of them. Many do;
  • Flexibility: This role is available to be a job-share.

Diversity and Inclusion: At Nesta, we believe that a diverse workforce leads to an organisation that is more innovative, more creative and gets better results. We want our workforce to represent the diversity of the people and communities we serve. We also want our workplace to be one where different experiences, expertise and perspectives are valued, and where everyone is encouraged to grow and develop. This means that when we are recruiting, we actively seek to reach a diverse pool of candidates. It also means that we are happy to consider any reasonable adjustments that potential employees may need to in order to be successful. We recognise the importance of a good balance between work and home life, so we do everything we can to accommodate flexible working, including working from home, compressed or part‑time hours, job shares and other arrangements. Please just let us know in your application or at any stage throughout the process (and beyond) if these are options you’d like to explore.

Data Scientist employer: Nesta's Health

Nesta is an exceptional employer that champions innovation for social good, offering a collaborative and inclusive work culture where diverse perspectives are valued. As a Data Scientist in London, you will have the opportunity to engage in meaningful projects that directly impact early childhood development while benefiting from flexible working arrangements and a comprehensive benefits package, including private medical insurance and the ability to buy and sell annual leave. With a strong focus on employee growth and a commitment to fostering a supportive environment, Nesta empowers its team members to experiment, learn, and make a real difference in society.
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Contact Detail:

Nesta's Health Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist

✨Tip Number 1

Network like a pro! Reach out to people in the data science field, especially those connected to Nesta. LinkedIn is your best mate here; drop them a message and ask for a chat about their experiences. You never know, they might just put in a good word for you!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data projects, especially those that align with Nesta's mission. Whether it's machine learning models or insightful data visualisations, having tangible examples will make you stand out in interviews.

✨Tip Number 3

Prepare for the interview by understanding Nesta’s goals and how your skills can contribute. Brush up on relevant data science techniques and be ready to discuss how you can apply them to real-world problems. Tailor your answers to show you're all about making a social impact!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Nesta team. So, get that application in and let’s make a difference together!

We think you need these skills to ace Data Scientist

Python Programming
Data Analysis
Machine Learning
Statistical Methods
Causal Inference
Data Visualisation
Project Scoping
Collaboration
Communication Skills
Version Control (Git, GitHub)
Data Engineering Methods
APIs and Web-Scraping
Database Management (SQL, NoSQL)
Knowledge of Early Childhood Development
Experience in Policy Context

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Data Scientist role. Highlight your relevant experience with data analysis, machine learning, and any projects that align with Nesta's Fairer Start Mission.

Showcase Your Skills: Don’t just list your skills; demonstrate them! Include examples of how you've used Python, data visualisation, or analytical techniques in past projects. This will help us see your potential impact on our mission.

Be Clear and Concise: When writing your application, keep it clear and to the point. Use structured language and avoid jargon where possible. We want to understand your thought process and how you communicate with both technical and non-technical audiences.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details you need about the role and our mission there!

How to prepare for a job interview at Nesta's Health

✨Know Your Data Science Stuff

Make sure you brush up on your data science skills, especially in Python and machine learning. Be ready to discuss specific projects where you've applied these skills, as well as any challenges you faced and how you overcame them.

✨Understand Nesta's Mission

Familiarise yourself with Nesta’s Fairer Start Mission and its goals. Think about how your skills can contribute to their mission of improving early childhood development and be prepared to share your thoughts on how data science can drive social impact.

✨Prepare for Collaboration Questions

Since this role involves working in multidisciplinary teams, be ready to talk about your experience collaborating with others. Have examples ready that showcase your ability to communicate complex data insights to both technical and non-technical audiences.

✨Show Your Growth Mindset

Nesta values a growth mindset, so be open about your willingness to learn and adapt. Share instances where you’ve experimented with new techniques or tools in your work, and express your enthusiasm for staying updated with the latest developments in data science.

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