Data Scientist (MLOps)

Elevate Great

London

1 month ago

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Are you passionate about data science, innovation, social impact, and early childhood development? Elevate Great is looking for a talented Data Scientist (MLOps) to join our Evidence Team and help shape our data and evidence function. You will develop and deploy Elevate Great’s data infrastructure and data science projects with a focus on MLOps and collaborate with cross-functional teams to support evidence-based decision-making.

Location and ways of working

We have offices based in London and Edinburgh (Headquarters). This role is expected to be based in London, but we will consider applications from those who may want to work from the Edinburgh office.

Our London offices are located in Nest 58, 58 Victoria Embankment, London, England EC4Y 0DS, GB. You will be expected to make occasional trips to the Edinburgh office (reasonable expenses and travel will be reimbursed).

This role is a Hybrid Role, with the expectation to work collaboratively in the office 2-3 times per week.

This role is for someone who believes change is possible and wants to rise to the challenge - our bargain is that we’ll be the best employer possible and ask of you to be the greatest change agent you can be.

The detailsWhat you'll be working on

- Build and manage data pipelines and infrastructure to support early childhood-focused programmes and innovations.

- You will leverage AI platforms, frameworks and APIs.

- You will productionise dashboards and web-based applications.

- Apply machine learning, predictive modelling, and economic forecasting to extract insights.

- You will comply to data governance policies and best practices to ensure data quality, documentation and compliance with regulations like GDPR.

- Communicate complex data findings through clear reports and visualisations.

What we’re looking for

Qualifications & Experience

● Degree in computer science, data science, statistics, mathematics, or a related quantitative field. (Masters or PHD preferred)

● 2+ years of experience in data science roles, with a track record of delivering data science projects.

● Experience with cloud-based data platforms (e.g.: AWS, Azure, GCP).

● Experience with using Git for version control.

● Strong understanding of statistical analysis, machine learning, and predictive modelling techniques.

● Proficiency in Python and SQL programming languages.

● Proficiency with at least one cloud-based ML platform, such as SageMaker, Vertex AI or Azure Machine Learning Studio.

● Good knowledge of DevOps practices and tools (e.g.: Git, Docker, Kubernetes).

● Familiarity with AI platforms and frameworks such as LangChain, Llamaindex and, HugginFace.

● Expertise in data manipulation, data visualisation, and statistical modelling libraries (e.g.: pandas, NumPy, Matplotlib, scikit-learn).

● Skills in data visualisation tools (e.g.: Tableau, PowerBI).

● Excellent problem-solving and analytical skills.

Skills & attributes

● Passion for leveraging data to drive social impact and create positive change.

● Excited by the prospect of working in early childhood, with a range of different datasets to model outcomes around (health, education, development).

● Self-starter with a proactive and curious mindset.

● Adaptable and open to learning new technologies and methodologies.

● Strong attention to detail and commitment to delivering high-quality work.

● Ability to thrive in a fast-paced, dynamic environment.

Deadline for applications: Monday 4th August 2025, 12 noon

Our benefits offer

- 40 days annual leave (inc. public holidays, which can be used flexibly)
- 1 additional day of annual leave per year, for the first 2 years you stay at the company
- Private medical insurance, including dental cover
- 8% employer pension contribution

And so much more...

Staff away days