Data Scientist I

We are looking for a Data Scientist to join the Data Science Consulting Team based in Reading/London. There are already 25+ Data Scientists in the entire Data Science team, and we continue to grow apace! 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.

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 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

Qualifications

To be successful in this role, candidates should possess a blend of technical expertise, analytical acumen, and strong communication skills. The ideal candidate will also be a proactive problem‑solver with a passion for learning and a collaborative spirit. This role is perfect for someone eager to contribute to a dynamic team and grow their career in the field of data science. A profound understanding of statistical methods will further enhance the candidate's ability to excel in this position.

• 2-4 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

Benefits

• Free movie tickets!
• 29 days annual leave PLUS Bank Holidays
• Flextime with core hours between 10am and 3pm
• 2 days’ work from home, per week
• Enhanced maternity pay
• Regular social events in both UK locations
• Professional growth and career development including LinkedIn Learning

MarketCast is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.