Data Marketing Scientist in London

We are looking for a Data Scientist to join the Data Science Consulting Team based in Reading/London. This new role is responsible for analyzing extremely large datasets, creating bespoke client reports, exploring new datasets, and building new algorithms to deliver services to clients.

Responsibilities include:

• Explore and extract data from multiple sources and interrogate this data to create meaningful insights.
• Scope and define the approach to typical projects that Data Science Consulting Team works on.
• Research, develop, and test solutions to problems that use both supervised and unsupervised learning models.
• Discuss technical and analytical aspects of your work with clients.
• Maintain and improve our machine learning pipelines, processes and products.
• Use tools and languages such as Python, SQL and Tableau for reporting and analysis on our AWS data platform.
• Work with our India based Data Engineering team and our Sales and Market Research Teams in the US and UK.
• Have knowledge of a broader set of techniques available for each type of ML problem, typically having real in-depth knowledge in a couple of areas (e.g. Forecasting, Segmentation etc.).
• Critically think about what features are required to address a client business problem, and transform the data to achieve this.
• Confidently be relied upon to create models that are robust and do not suffer from issues such as multicollinearity, overfitting, data leakage etc.
• Have knowledge of advanced machine learning algorithms such as random forest, gradient boosting, and support vector machines.
• Experience in feature engineering and selection techniques.
• Understanding of model evaluation metrics and cross-validation techniques.

It’ll be helpful if you have:

• A blend of technical expertise, analytical acumen, and strong communication skills.
• A proactive problem-solver with a passion for learning and a collaborative spirit.
• A profound understanding of statistical methods.

Requirements include:

• ~4+ years’ experience of working within the Data Science domain.
• Proven experience of managing Data Science projects independently.
• A desire to understand the why, and dig into data to understand what makes people tick.
• A Bachelor’s degree in a subject such as Applied Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, Computer Science, etc. (a Master’s Degree or higher is a plus).
• Solid data analytics skills; proven proficiency with SQL, Python & Pandas is a must.
• The ability to understand business problems, draw conclusions from data and recommend actions on how best to solve these problems.
• Strong communications skills, and an ability to document requirements and work with other team members.
• An appreciation for general Quant market Research techniques would be beneficial but not necessary.
• Experience with TV viewing data, the TV industry and/or Media Industry experience; this isn’t a pre-requisite, but a genuine interest is.
• A curiosity about data and enjoy building data visualisations that clearly articulate insight.

Our Vision: We are creating the most tech and data-forward research business on the planet, where primary research, AI, and big data work together to solve complex marketing, content, and product development challenges.

Our Values:

• Radical Candor: Caring personally while challenging directly – offering feedback that is honest and clear, but always rooted in genuine empathy and respect for the individual.
• Client Obsession: Maintaining an unwavering focus on understanding and exceeding client needs and expectations, consistently delivering value, and building lasting partnerships through proactive communication, responsiveness, and a relentless commitment to client success.
• Unmatched Expertise: A level of deep, specialised knowledge and skill that exceeds industry standards, allowing delivery of innovative, tailored solutions to complex client challenges, driving superior outcomes. Fostering growth for our talent and establishing a reputation for excellence.