Data Entry Statisticians | Wimbledon 2026

Wimbledon
City of London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Quality Analyst

Purchasing Data Quality Support Assistant

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

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.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.