Data Entry Statisticians | Wimbledon 2026

Wimbledon
City of London
2 days ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Business Data Analyst Inside IR35

Data Analyst - Quality Control

ED Data Analyst - Secondment

Data Analyst

Data Quality Specialist

Data Entry Statisticians | Wimbledon 2026

Join to apply for the Data Entry Statisticians | Wimbledon 2026 role at Wimbledon.


We are looking to recruit a variety of people into data entry roles for Wimbledon 2026 working across our official venues: Qualifying Competition at Roehampton and The Championships at The All England Lawn Tennis Club.


About You

  • A sound knowledge of the game of tennis is essential
  • Requires previous playing experience, ideally one of the following or equivalent:
  • minimum of 3.1 LTA rating
  • 20.0 women - WTN
  • 15.0 men - WTN
  • However, consideration will be given to those who do not have the relevant rating, providing they can demonstrate their skill and knowledge.
  • All candidates should regularly represent their county, country, college, university or club and have done so within the past 5 years
  • Strong attention to detail and sound judgement in complex decision making
  • Ability to maintain a high level of concentration and attention to detail over an extended period
  • Excellent communication skills in English, both written and verbal
  • Self-confidence
  • Ability to work effectively under pressure with minimal supervision
  • Enthusiasm and a positive attitude with a willingness to work extended shifts often up to 12 hours, for the fourteen days of the Championships
  • A strong knowledge of the game, speed, accuracy, good communication skills and high level of concentration is essential
  • Previous experience on Data Entry team or similar broadcast experience

What you'll be doing

  • Reporting to Data Entry Supervisor
  • Working alone or as a pair, or in a team of three across all 18 Championship courts
  • Positioned in courtside locations, responsible for entering live point-by-point data into laptops using purpose-built tennis software
  • Be prepared to switch to manual tick-sheet entry as a contingency when required
  • Report all issues / technical concerns to IBM Operations Room & DE Supervisor via communications headsets

All successful candidates will be trained in all elements of data collection and will be required to be proficient in the above skills.


Data Entry Statistics & TV Graphics Roles

  • Data Entry Statistician

    • Positioned for entering live data on courtside, with potential to work across multiple courts
    • Training provided in data collection and relevant software


  • TV Graphics Operator

    • Work with TV Director to ensure score is checked and updated
    • Support broadcasting graphics and respond to commentator requests



Seniority level

  • Entry level

Employment type

  • Temporary

Job function

  • Research, Analyst, and Information Technology

Important Information

  • Applicants must be at least 18 years old by 19 June 2026
  • Shortlisted candidates will be invited to a telephone or video interview
  • Interviews will take place during January 2026
  • Data Entry will be carried out at Wimbledon Qualifying (22–25 June 2026) and The Championships (29 June – 12 July 2026)
  • Applicants must have unrestricted availability over the Wimbledon period and be flexible with regard to working hours; training days may be required
  • Time off during Qualifying and The Championships is limited and emergencies only (ceremonies/major events do not count as emergencies)
  • Dress rehearsals are mandatory for qualifying and The Championships as scheduled
  • Long working hours may be necessary; some roles may operate on a shift basis
  • Information provided may be shared with relevant authorities to protect security

What we can offer you

  • Rates of pay are variable but within the region of £148 per day
  • Uniform provided where appropriate
  • Daily food allowance
  • Valuable experience working at a world class sporting event
  • The opportunity to return to work at Wimbledon if you receive positive feedback in your first year

Get notified about new Statistician jobs in London, England, United Kingdom.



#J-18808-Ljbffr

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.