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LIDA Data Scientist

University of Leeds

Leeds

Hybrid

GBP 30,000

Full time

17 days ago

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Job summary

An established research institute is seeking early-career data scientists to join their innovative team. This role offers structured training and development opportunities in high-demand skills, focusing on using data science for public good. With a commitment to diversity and inclusion, the program encourages applications from underrepresented groups. Enjoy a supportive environment with mentorship, collaboration, and hands-on experience in a state-of-the-art facility. If you're passionate about data and eager to make a positive impact, this is the perfect opportunity for you.

Benefits

26 days holiday plus 16 Bank Holidays
Generous pension scheme
Health and Wellbeing benefits
On-site childcare
Shopping discounts
Travel schemes

Qualifications

  • Experience in statistical or predictive techniques.
  • Strong numerical skills and interest in data science.

Responsibilities

  • Ownership of data science projects and practical experience.
  • Collaborate with project partners to solve real-world problems.

Skills

Statistical Analysis
Predictive Techniques
Data Science
Numerical Skills

Education

Degree in Data Science or related field

Job description

(Multiple Roles Available)

Salary Grade 5, sp20 (£29,179 p.a.)

Reporting to: Kylie Norman

Closing date: Thursday 29th May 2025

Interview dates: To be held online 2 - 4 July 2025

Fixed-term for 12 months, commencing Monday 29th Sept 2025

Location: Leeds Institute for Data Analytics and the Wolfson Institute in Bradford, with scope for hybrid working.

Do you have excellent numerical skills, with experience of using statistical or predictive techniques? Do you have a keen interest in using data science for the public good? Do you want to be part of a successful, leading research institute?

The Leeds Institute for Data Analytics (LIDA) is offering several data scientist development posts to support research across areas such as Artificial Intelligence (AI), health informatics, urban analytics, statistical and mathematical methods, and visualization and immersive technologies.

This is a structured training and development role for early-career data scientists and career changers. The LIDA Data Scientist Development Programme offers an excellent opportunity to develop skills in high demand within industry and academia, both nationally and globally, within a state-of-the-art facility.

Benefits of the programme include:

  • Ownership of data science projects and practical experience with real data;
  • Opportunities to collaborate with project partners and solve real-world problems;
  • Skill-building in advanced analytics through mentorship, research, and on-site training in statistical analysis, visualization, research methods, and programming;
  • Working alongside leading scholars and gaining valuable experience.

LIDA is committed to supporting the University’s Equity, Diversity, and Inclusion Strategy and particularly encourages applications from underrepresented groups in data science, including Women, the Global Majority, and those from Low Socio-Economic Backgrounds.

What We Offer In Return

  • 26 days holiday plus approximately 16 Bank Holidays/closure days (including Christmas) – totaling 42 days annually;
  • Generous pension scheme options and life assurance;
  • Health and Wellbeing benefits, including discounted staff memberships at The Edge, our campus gym with a pool, sauna, climbing wall, cycle circuit, and sports halls;
  • Personal development opportunities, including courses in languages, creative writing, wellbeing therapies, and more;
  • On-site childcare, shopping discounts, and travel schemes.
We invite you to apply if you're seeking a role to challenge and develop your data science skills in a data-driven environment. For more information and application guidance, watch this video: https://youtu.be/QW7pTJh2od0

For further inquiries, please contact:

Kylie Norman, DSDP Programme Lead
k.r.norman@leeds.ac.uk

Or email us at: lida@leeds.ac.uk

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