National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analytics Lead

UK Anti-Doping
Loughborough
2 weeks ago
Create job alert

Join to apply for the Data Analytics Lead role at UK Anti-Doping
2 weeks ago Be among the first 25 applicants
Join to apply for the Data Analytics Lead role at UK Anti-Doping
Salary Range £34,860 - £35,860

Location Hybrid (WFH / SportPark, Loughborough)

Type of contract Full-time, Permanent

Closing Date 23:59pm on Monday 26 May 2025

UK Anti-Doping (UKAD) is on a mission to protect clean sport and currently has an exciting opportunity available for you to join us.

We’re looking to recruit a Data Analytics Lead joining the Education, Insight & Global Engagement Directorate to play an active role leading and manage the implementation of UKAD’s Data Analytics Strategy.

About Us

Our purpose :

To ensure doping-free sport, promoting and protecting clean sport through education, testing and enforcement.

Our values:

Integrity – We do what is right for clean sport, we are equitable and ethical, ensuring everyone is treated fairly and with respect.

Collaboration – We work together and with others, sharing knowledge and building relationships to better tackle doping.

Excellence – We strive to achieve high standards in the protection of clean sport, evolving with the times and finding solutions.

Passion – We are dedicated to keeping sport clean, are proud of what we do and know it matters.

Job Purpose

You will ensure the integration of new data visualisations, advanced analytical methods, and AI to enhance operational effectiveness and efficiency. You will also contribute to internal and external initiatives that drive data excellence, foster a data-driven culture, and stimulate global collaboration in anti-doping analytics.

Key result areas include

Lead on the development of insights, data visualisations and evidence-based reports with teams across UKAD
Apply data science methods, such as statistical analysis and machine learning to identify new insights, trends, and optimise decision-making processes
Explore and evaluate potential applications of generative AI within anti-doping, ensuring that any implementation adheres to stringent data governance and ethical standards
Facilitate internal workshops that identify hypotheses that can be explored through analytics
Support data analytics initiatives in wider teams through providing feedback, troubleshooting and mentorship
Serve as UKAD’s technical representative within the international anti-doping data analytics working group, contributing to collaborative initiatives with other members.
Create opportunities for the development of leadership and technical skills across UKAD that drive advocacy and capability towards being analytically driven and evidence based
Develop and maintain effective partnerships with UK and international academic institutions, fellow National Anti-Doping Organisations, and other identified strategic partners that will enable UKAD to pursue its data analytics ambitions
Increase UKAD’s engagement with other sectors to identify transferrable approaches towards embracing analytics

Person specification

Qualifications/experience/knowledge

Experience in collecting, cleaning, and analysing large datasets from diverse sources to extract actionable insights using data visualisation tools
Proficiency in using advanced Excel functions and other data manipulation tools (e.g., SQL and Python) for data cleaning, visualisations, and automation of data processes
Extensive experience in creating interactive reports and dashboards using Power BI or similar tools, with expertise in connecting and integrating data sets for accurate and comprehensive analysis
Proficiency in using common data science Python packages (e.g. Pandas, NumPy, Scikit-learn and Matplotlib) for data manipulation, analysis, and visualisation
Familiarity with advanced data science techniques, including machine learning (e.g., K-means), natural language processing (e.g., NLTK or spaCy), and data acquisition techniques (e.g., Selenium) is advantageous.
Proficiency in producing detailed project documentation, including specifications, test plans, data quality checks, and validation procedures
Experience of managing projects that involve both internal and external stakeholders
Demonstrated ability to independently establish and maintain successful partnerships with external stakeholders, including academic institutions and industry partners.
An understanding of data protection, confidentiality, and experience of managing information with discretion

Skills

Demonstrable analytical eye for detail
Excellent communicator who can build, manage, and sustain relationships with key stakeholders
Ability to translate complex data into clear insights and recommendations.
Creative approach to work, with the ability to develop innovative solutions and use initiative in problem solving
Highly curious with a passion for understanding the ‘why’ behind trends and the confidence to question the status quo
Strong administration and record keeping skills
Strong planning, time management and organisational skills
Able to work effectively as a team member or on own when required
Able to work in a highly process driven administrative environment

How to apply

Our values are at the heart of what we do, so if they align with you and you’re up for the fight against doping in sport, please complete the online application.

Deadline for Applications is 11:59pm on Monday 26 May 2025. Interviews will take place on 09 and 10 June 2025 at SportPark, Loughborough.

Please note that UK Anti-Doping are currently unable to provide Visa Sponsorship.
Seniority level Seniority level Mid-Senior level
Employment type Employment type Contract
Job function Job function Information Technology
Referrals increase your chances of interviewing at UK Anti-Doping by 2x
Get notified about new Data Specialist jobs in Loughborough, England, United Kingdom .
Nottingham, England, United Kingdom 1 day ago
Quality Data Analyst Apprentice (Level 3) - Holcim Coalville, England, United Kingdom 7 hours ago
Nottingham, England, United Kingdom 2 weeks ago
Nottinghamshire, England, United Kingdom 9 hours ago
Loughborough, England, United Kingdom 1 week ago
Nottingham, England, United Kingdom 2 weeks ago
Leicestershire, England, United Kingdom 1 day ago
Kegworth, England, United Kingdom 3 days ago
Nottingham, England, United Kingdom 1 week ago
Data Protection & Security Co-ordinator (Apprenticeship) Nottingham, England, United Kingdom 3 days ago
Field Data Collection Specialist\Surveyor Nottingham, England, United Kingdom 7 months ago
Nottingham, England, United Kingdom 1 day ago
Coalville, England, United Kingdom £41,911.00-£46,568.00 1 month ago
Loughborough, England, United Kingdom 1 week ago
Rothley, England, United Kingdom 32 minutes ago
Atherstone, England, United Kingdom £47,045.00-£51,635.00 4 weeks ago
Nottingham, England, United Kingdom £30,000.00-£50,000.00 7 hours ago
Nottingham, England, United Kingdom 4 days ago
Beeston, England, United Kingdom 2 days ago
Waltham On The Wolds, England, United Kingdom 2 weeks ago
Nottingham, England, United Kingdom 32 minutes ago
Derby, England, United Kingdom 32 minutes ago
Nottingham, England, United Kingdom 2 weeks ago
Nottingham, England, United Kingdom 1 week ago
Leicester, England, United Kingdom 10 hours ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analytics Lead (Acquisition)

QR Data Analytics Lead - Quant Hedge Fund

QR Data Analytics Lead - Quant Hedge Fund

QR Data Analytics Lead - Quant Hedge Fund

QR Data Analytics Lead - Quant Hedge Fund...

QR Data Analytics Lead - Quant Hedge Fund

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.