Data Scientist/Statistician

Holborn
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist - Banking

Junior Data Scientist

Senior Data Scientist

Genomic Data Scientist in Rare Disease (we have office locations in Cambridge, Leeds & London)

Senior RF Data Scientist / Research Engineer

RSMB is looking for an enthusiastic Data Scientist/Statistician who has an interest in media research to join their team based in Central London. You will join them 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.

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:

RSMB is looking for a Data Scientist/Statistician to join our team working on some of the UK’s most interesting media measurement projects – like Barb, RAJAR, CFlight and TouchPoints. 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. 

Benefits you will receive as their Data Scientist/Statistician:

Pension scheme

25 days holiday per annum (rising to 30 days)

Private medical insurance

Season ticket loan

Group life and permanent health insurance.

Key responsibilities as their Data Scientist/Statistician will include:

Providing statistical expertise across RSMB’s work, gaining in depth knowledge of methodologies used in media measurement services such as Barb, RAJAR, and TouchPoints.

Developing complex methodologies to deliver cross-platform measurement solutions, including contributions to projects like CFlight.

Running data fusion processes to support comprehensive audience insights, particularly for projects such as TouchPoints.

Evaluating third-party methodologies through rigorous audits, to validate and ensure the integrity and reliability of data sources and analytical approaches.

Utilizing programming skills in PL/SQL, R and Python to extract, manipulate and analyse large datasets effectively.

Communicating technical methodologies and insights clearly through written reports and presentations, contributing to both internal discussions and client-facing meetings.

What they are looking for in their Data Scientist/Statistician:

The Data Scientist/Statistician should have broad knowledge of statistical/mathematical techniques. Ideally the candidate should possess 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 technic

Personal Attributes? 

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.

Please note: Applicants must be eligible to work in the UK & we are not accepting agency applications for this role.

If you feel you have the skills and experience to become a Data Scientist/Statistician in this exciting role, then please click “apply” now – They’d love to hear from you

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.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

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.