Data Scientist: Social Impact & Policy Analytics

Data Scientist: Social Impact & Policy Analytics

Full-Time 38600 - 53000 £ / year (est.) Home office (partial)
Nesta

At a Glance

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

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

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. We work in three roles: as an innovation partner working with frontline organisations to design and test new solutions, as a venture builder supporting new and early stage businesses, and as a system shaper creating the conditions for innovation. Harnessing the rigour of science and the creativity of design, we work relentlessly to change millions of lives for the better.

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 modeling;
  • 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;
  • 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.

Desirable

  • 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;
  • Reports to: Senior Data Science Lead, A Fairer Start;
  • Flexibility: This role is available to be a job-share.

Making an application

To apply for this role, please submit your application before 8am on 1st June 2026. First round interviews will take place the week commencing 22nd June 2026.

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: Social Impact & Policy Analytics employer: Nesta

Nesta is an exceptional employer, dedicated to fostering a culture of innovation and social impact. With a strong commitment to employee growth, we offer flexible working arrangements, comprehensive benefits, and the opportunity to collaborate with a diverse team of experts in a vibrant London setting. Join us in making a meaningful difference in the lives of children and communities across the UK.

Nesta

Contact Details:

Nesta Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist: Social Impact & Policy Analytics

Tip Number 1

Network like a pro! Reach out to people in the data science field, especially those connected to Nesta. Attend events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can 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 social impact. Use platforms like GitHub to share your code and visualisations. This gives potential employers a taste of what you can do!

Tip Number 3

Prepare for interviews by brushing up on your technical skills and understanding Nesta's mission. Be ready to discuss how your experience can contribute to their goals. Practise explaining complex data concepts in simple terms for non-technical stakeholders.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, tailor your application to highlight your passion for social impact and how your data skills can make a difference in early childhood development.

We think you need these skills to ace Data Scientist: Social Impact & Policy Analytics

Python Programming
Data Analysis
Machine Learning
Statistical Methods
Causal Inference
Data Visualisation
Project Scoping

Some tips for your application 🫡

Show Your Passion for Social Impact:When writing your application, let your enthusiasm for social good shine through! We want to see how your data science skills can contribute to making a difference in the early years. Share any relevant experiences that highlight your commitment to this mission.

Tailor Your Application:Make sure to customise your application to reflect the specific requirements of the Data Scientist role. Highlight your experience with Python, data analysis, and any relevant projects that align with our Fairer Start Mission. This shows us you’ve done your homework!

Be Clear and Concise:We appreciate clarity in communication, so keep your written application structured and to the point. Use bullet points where necessary and avoid jargon unless it’s relevant. This helps us quickly grasp your skills and experiences without getting lost in the details.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about Nesta and our exciting projects.

How to prepare for a job interview at Nesta

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 the Mission

Familiarise yourself with Nesta's Fairer Start Mission and its goals. Think about how your skills can contribute to their mission of giving every child a fair start. This will show your genuine interest and alignment with their values.

Prepare for Collaboration Questions

Since this role involves working in multidisciplinary teams, be prepared to share examples of how you've collaborated with others. Highlight your ability to communicate complex data insights to both technical and non-technical stakeholders.

Show Your Growth Mindset

Nesta values a growth mindset, so be ready to talk about times when you've learned from failure or adapted to new challenges. Emphasise your willingness to experiment and learn, which is crucial for a role that aims to create social impact.