Data Scientist I

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

Key Responsibilities

• Explore and extract data from multiple sources and interrogate this data to create meaningful insights.
• Scope and define the approach to typical projects that the 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 with deep expertise in a couple of areas (e.g. forecasting, segmentation).
• Critically think about what features are required to address a client business problem, and transform the data to achieve this.
• Be confidently relied upon to create models that are robust and do not suffer from issues such as multicollinearity, overfitting, or data leakage.
• 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.

Requirements

• 2‑4 years’ experience working within the Data Science domain.
• Proven experience managing Data Science projects independently.
• Desire to understand the why and dig into data to understand what makes people tick.
• Bachelor’s degree in Applied Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, Computer Science or related field (Master’s or higher is a plus).
• Solid data analytics skills; proven proficiency with SQL, Python & Pandas is a must.
• Ability to understand business problems, draw conclusions from data and recommend actions on how best to solve these problems.
• Strong communication skills and ability to document requirements and work with other team members.
• Appreciation for general quantitative research techniques would be beneficial but not required.
• Experience with TV viewing data, the TV industry and/or Media Industry experience is a plus; genuine interest is sufficient; curiosity about data and enjoyment of building visualisations that clearly articulate insight is expected.

Location

London – London / Reading, UK

Benefits

• Generous annual leave of 29 days, PLUS Bank Holidays.
• Flextime with core hours between 10 am and 3 pm.
• Two days of work‑from‑home per week.
• A suite of benefits, including free movie tickets.
• 4% match pension scheme.
• Enhanced maternity pay.
• Regular social events in both UK locations.
• Professional growth and career development, including LinkedIn Learning.

Equal Opportunity Employment

MarketCast is proud to be an equal‑opportunity workplace. We are committed to equal employment opportunity regardless of age, disability, gender reassignment, marital status, pregnancy and maternity, race, religion or beliefs, sex and sexual orientation.

GDPR & Privacy Notice

The organisation collects and processes personal data relating to its applicants, employees and former employees to manage pre‑employment and employment relationships and post‑employment obligations. The organisation is committed to being transparent about how it collects and uses that data and to meeting its data protection obligations. For further information on the information we collect, how it’s used, and how it’s protected, please contact the MarketCast UK HR Team.