Data Scientist

The Alan Turing Institute; Greater London; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading research institute in the UK is seeking an experienced Researcher/Data Scientist committed to advancing data science and AI initiatives. The ideal candidate will possess a PhD or equivalent experience, expertise in Python programming, and a strong foundation in statistical methods. Responsibilities include applying advanced data science techniques, conducting experiments, and producing technical documentation. This role requires excellent communication skills and a commitment to inclusivity and research excellence.

Qualifications

• PhD or equivalent experience in statistical/numerical methods necessary.
• Excellent communication and stakeholder-oriented thinking are required.
• Strong commitment to equality, diversity, and inclusion.

Responsibilities

• Understand partner problems and shape appropriate approaches.
• Apply state-of-the-art Deep Learning/Data Science to challenges.
• Run rigorous investigations and produce proof-of-concept code.

Skills

Programming in Python

Deep Learning

Statistical methods

Research Software Engineering practices

Technical writing

Teamwork

Education

PhD or equivalent professional experience

Tools

PyTorch

TensorFlow

Jax

Transformers

Job description

BACKGROUND

Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better.

Please find more information about ushere .

CANDIDATE PROFILE

An experienced researcher/data scientist (PhD or equivalent experience) with strong programming and advanced statistical/numerical foundations, practical experience or clear interest in Deep Learning/AI, and confidence working in modern research languages (e.g. Python). You’ll have excellent research software engineering habits (version control, testing, reproducibility), communicate clearly through technical writing and presentations, and be comfortable learning new domains fast. Eligibility for SC clearance is required.

DUTIES AND AREAS OF RESPONSIBILITY

• Understand partner problems and shape appropriate approaches/experiments
• Apply state-of-the-art Deep Learning/Data Science to D&NS challenges
• Run rigorous investigations, producing deployable proof-of-concept code and technical write-ups
• Design and execute experimentation in small teams (with guidance from senior staff)
• Present and document work for reuse
• Work at pace using standard tooling for testing, version control and collaboration; contribute to technical excellence

PERSON SPECIFICATION

• PhD or equivalent professional experience using programming and advanced statistical/numerical methods
• Interest/experience in Deep Learning/AI; fluency in a modern research language (e.g. Python)
• Strong reproducible/RSE practices (VC, issue tracking, automated testing, experiment management)
• Excellent written/verbal communication; stakeholder-oriented thinking
• Team-working, independent planning/execution, problem-solving and data analysis/reporting skills
• PyTorch/TensorFlow/Jax/Transformers; problem scoping with customers; managing research data/experiments; AI tooling awareness
• Commitment to EDI and organisational values; eligible for SC clearance

Please see our portal for a full breakdown of the Job Description.

We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview.

APPLICATION PROCEDURE

Please click on the‘Apply’button above for full details on how to apply and the interview process.

EQUALITY DIVERSITY AND INCLUSION

We are committed to makingsure our recruitment process is accessible and inclusive.

This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us [e-mail] to find out how we can assist you.