Job Description

Data Scientist I

London – London / Reading, UK

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 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:

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. Requirements include:

• 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

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.

Our Vibe:

Check us out: www.marketcast.comand on LinkedIn.

We are social scientists, data geeks, brand junkies, and movie fanatics. We obsess on audience segments, norms, models and methodologies. This passion transforms client problems into breakthroughs and investments into impact.

At MarketCast, we don't just accept differences - we embrace them, support them, and thrive on them for the benefit of our global culture and success. 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.

Benefits:

In addition to your salary, MarketCast believes in providing a competitive total rewards package for its employees. MarketCast offers employees a holistic and wide array of benefits, such as:

• Generous annual leave of 29 days, PLUS Bank Holidays
• Flextime with core hours between 10 am and 3 pm
• 2 days’ 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 of our UK locations
• Professional growth and career development, including LinkedIn Learning

All benefits are subject to eligibility requirements, and the terms of our official plan may be modified or amended from time to time.

GDPR & Privacy Notice:

GENERAL DATA PROTECTION REGULATION (UK GDPR) 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.