We are looking for an experienced, enthusiatic and highly capable Data Scientist / Statistician, who has an interest in media research, to join our team based in London (Hybrid – 2 days per week in the office). You will join us on a full-time, permanent basis, and in return, you will receive a competitive salary of up to £35,000 per annum, based on experience.
RSMB is a leading company specialising in media measurement solutions. We work with various clients, including industry measurement bodies like Barb (UK TV audience measurement) and RAJAR (radio audience measurement), to help them understand, plan, and measure consumer behaviour across media. We focus on statistics and data science in media, developing models and methodologies for audience and viewer measurement. Our team of around 50 people operates in a hybrid working environment based in Holborn, London.
The Data Scientist / Statistician role:
Whether you’re a recent graduate or have a few years of experience in stats, data science, or media analytics, this is a great opportunity to work with big datasets, solve real-world problems, and help shape how the UK media industry understands audiences. You will be working primarily on Barb’s audience measurement projects, with opportunities to also work on other media projects such as RAJAR, CFlight and TouchPoints. You will join us on a full-time, permanent basis, and in return, you will receive a competitive salary of £28,000 per annum for graduate entry level, rising to £35,000 depending on degree of relevant post graduate experience.
This is a hands-on role which will provide a breadth of experience.
Key responsibilities as our Data Scientist / Statistician will include:
- Providing statistical expertise across RSMB’s work, gaining in-depth knowledge of methodologies used in Barb’s measurement services.
- Utilising programming skills in PL/SQL, R and Python to extract, manipulate and analyse large datasets effectively.
- Manipulation and visualisation of data using tools such as Excel, Power BI & Oracle Analytics.
- Communicating technical methodologies and insights clearly through written reports and presentations, contributing to both internal discussions and client-facing meetings.
- Evaluating methodologies through rigorous audits, to validate and ensure the integrity and reliability of data sources and analytical approaches.
- Supporting ad hoc data requests from clients.
- Opportunities to work on data fusion processes to support comprehensive audience insights.
What we are looking for in our Data Scientist / Statistician:
The candidate should have broad knowledge of statistical/mathematical techniques – Ideally possessing the following skills:
- Education: At least a 2:1 Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. If applying with a predicted grade, any job offer will be subject to achieving this grade.
- Technical Skills: Competent with Microsoft packages including Excel.
- Analytical Skills: Numerate with the ability to interpret and present complex data. Strong problem-solving skills and ability to think critically.
- Communication: Excellent verbal and written communication skills, with the ability to present data findings clearly and convey technical concepts to non-technical stakeholders.
What you’ll get in return as our Data Scientist / Statistician:
- Strong interpersonal skills and the ability to liaise with people at all levels.
- Self-motivated and confident to manage their own projects as well as working within teams for larger projects.
- Excellent attention to detail and superb organisational skills.
- Able to use initiative to work independently with the ability to manage own time and organise priorities.
- Flexible and adaptable – the needs of the job may change from week to week.
- Collaborative team player, committed to the collective success of the company.
- The ability to manage client relationships effectively, ensuring client satisfaction and addressing any concerns promptly.
Benefits you'll receive as our Data Scientist / Statistician:
- Pension Scheme.
- 25 days holiday per annum (rising to 30 days), plus bank holidays.
- Private Medical Insurance.
- Season Ticket Loans.
- Group Life and Permanent Health Insurance.
Additional Information:
- Applicants must be eligible to work in the UK.
- We’re not accepting agency applications.
If you feel you have the skills and experience to become a Data Scientist / Statistician in this exciting role, then please click “apply” now – We'd love to hear from you!
