Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Junior Data Scientist

MarketCast, Inc.
London
1 week ago
Create job alert
Overview

MarketCast combines the power of research, technology, and data science to help marketers and researchers maximize their advertising impact and unlock brand Fandom.

Our data and insights guide critical marketing decisions, helping brands determine which fandom audiences to prioritize and product benefits to communicate, in addition to developing, launching, and measuring brand and advertising campaigns across media platforms. Today our clients represent the biggest names in entertainment, tech, consumer brands, and sports and video games, and our impact touches the lives of billions of people around the globe.

We are looking for a Junior 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 at pace! This role is responsible for analysing extremely large datasets, creating bespoke client reports, exploring new datasets and building new algorithms to deliver services to clients.


  • Explore and extract data from multiple sources and interrogate this data to create meaningful insights
  • Design and develop algorithms, programs, methods and processes.
  • Research, develop, and test supervised and unsupervised learning models
  • 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

It’ll be helpful if you have:


  • 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, Psychology, Sociology, Statistics, Economics, Engineering, Computer Science, etc. (a Master’s Degree or higher is a plus)
  • Solid data analytics skills; proven proficiency with SQL, Python and Pandas
  • The ability to write Python code; must be able to build, execute and test algorithms and models
  • 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
  • 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 and Perks
  • 29 days annual leave, PLUS Bank Holidays
  • Flexi-time with core hours between 10am and 3pm
  • A suite of benefits including food allowance for in office days
  • 2 days’ work from home, per week
  • Enhanced maternity pay
  • Regular social events in both of our UK locations
  • Professional growth and career development
Our Purpose

Fandom connects people with shared passions and builds communities around them. It offers them space to express their joy and love, whether that’s for superheroes, sports teams, or even small batch whiskeys. At MarketCast, we believe in the power of fandom. It’s as important for brands as it is for action heroes and we do fandom research, data science and analytics better than anyone on the planet. This obsessive focus on fans helps the world’s top creators, media platforms, and sports leagues transform followers into fanatics and investments into impact.

Our Core Values

Curiosity Makes Us Tick

Our love of learning manifests in everything we do - from the surveys we field and the datasets we analyse to the technology we develop. Where others pause, we push forward, uncovering hidden meaning and answers. Always learning, always looking for more.

We Celebrate Wins

Whether its wowing clients with research or solving everyday challenges, we pause to honour great work and everyone who plays a role in it. We acknowledge and recognize great work and hustle that helps deliver the very best outcomes.

Trust is Always Trending

Trust means everything to us. It’s lending a hand when deadlines loom, always delivering on the promises we make, and calling out behaviour that harms our culture. And our client’s trust is what makes all this possible, something we never take for granted.

We Roll with Change

We embrace change as an opportunity to learn, grow, and further develop. We do this by challenging our biases and rethinking how things have always been done in the past. This fresh, open-minded approach keeps us agile, innovating, and adapting in the face of uncertainty.

Diversity is Our Superpower

Our differences make us stronger. As researchers and data scientists, we have a responsibility to reflect the diverse audiences and communities all around us. Understanding people, opinions and life experiences fuels our insights and deepens our perspectives.

At MarketCast, we don't just accept difference - we embrace it, support it, and thrive on it 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 race, colour, 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. Check us out: www.marketcast.com


#J-18808-Ljbffr

Related Jobs

View all jobs

Junior Data Scientist - Fully remote (UK based only) – TimeSeries, NLP

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.