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 Data Scientist to join the Data Science Team based in Reading. There are already 20+ data scientists, and we are continue to grow! 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.
#FandomIsOurJam
Responsibilities:
- Take the lead on directing defining and implementing solutions to moderately complex client problems effectively defining clear success criteria.
- Enable Data Scientists in your team to be successful and consistently take steps to support the growth and success of your teammates.
- Critically evaluate where improvements are required in our ways of working – always through the perspective of business benefit to maximise value delivered.
- Independently manage client relationships and expectations with minimal assistance.
- Manage reasonably large projects with multiple stakeholders.
- Creatively think about how to address issues with models beyond basic feature engineering.
- Deploy and evaluate results from ML models in a production environment.
- Guide more junior members of the team in model development and deployment.
- 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:
- Proven track record of successfully managing client engagements independently and guide more junior teammates to do so.
- 5+ years’ experience of working within the Data Science domain.
- Proven experience of managing Data Science projects independently.
- In-depth knowledge across many different Statistical / ML techniques. You can confidently and independently apply algorithms that you are not familiar with.
- The ability to deploy and evaluate results from ML models in a production environment.
- 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.
- 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 visualizations 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 Values:
Curiosity Makes Us Tick
Our love of learning manifests in everything we do - from the surveys we field and the datasets we analyze to the technology we develop. Where others pause, we push forward, uncovering hidden meaning and answers. Always learning, always looking for more.
Reward the Hustle
We attract and cultivate talent who roll up their sleeves and get things done, no matter the task, timeline, or challenge. In return, we recognize and reward their performance and commitment. It’s an approach that keeps our teams tight, hands-on, and consistently delivering.
Trust is Everything
Our research and perspectives move markets, fuel creative decisions and impact millions of fans daily. This kind of influence requires trust and responsibility, something bestowed on us by our clients. It is earned, honored, and never taken for granted.
Value the What and the How
It’s not enough to be exceptional in your role if you can’t play well with the team. We honor great work by looking at what is accomplished and how we work together to achieve results. This ensures great performance never comes at the cost of behavior that can harm our culture.
Diversity Will Be 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, 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.
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