Data Scientist- Consumer Behaviour

London
1 week ago
Create job alert

Data Scientist - Consumer Behaviour

London office hybrid 3 days per week - Salary negotiable dep on experience between £70,000-£80,000 - J12933

Please note this client is unable to offer sponsorship so please ensure you have full UK working rights.

Datatech are working exclusively with a boutique start up in London, staffed across the UK, US and Canada, to grow their team. This leading consumer behavioural data organisation are servicing some of the largest brands and media companies worldwide and have been working for the last 6 + years adding value to their clients.

This company have an incredible amount of data, and having just skimmed the surface of this, there is a huge opportunity to delve deeper and bring their potential to life.

For the role of Data Scientist, we are looking for an enthusiastic and driven individual, ready to get stuck into some extremely interesting projects and work with some huge global brands.

In this role, you will be responsible for modelling, applying econometric techniques such as regression analysis and using technologies such as SQL and Python.

You'll be working in an incredibly supportive and social team, where each employee is an individual contributor and has a voice to produce ideas and ways of success.

The Role
• Gather, refine, and pre-process large-scale media datasets from diverse sources (CRM, ad servers, audience panels) to ensure accuracy and readiness for analysis.
• Apply econometric techniques such as regression analysis, time series modelling, and panel data analysis to uncover insights into the impact of media spend on business outcomes.
• Deliver data-driven insights to optimize media buying strategies, guiding channel allocation, budget distribution, and creative testing for maximum impact.
• Advanced analytics- explore advanced data analysis techniques, such as machine learning, to improve model accuracy and uncover deeper, more actionable insights.

The Ideal Candidate
• 5+ years of experience with a strong proficiency in data analysis tools and techniques (e.g., SQL, Python).
• Knowledge of different media channels (social media, print, television, online advertising) and their metrics.
• Previous Econometrics background, expertise in statical methods like linear regression
• Data modelling knowledge.
• Understanding business objectives and ability to translate data insights into actionable actions.

If this sounds like the role for you then please apply today!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist- Consumer Behaviour

Lead Data Scientist

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.