At a Glance
- Tasks: Analyse large datasets and create insights to drive marketing decisions.
- Company: Join MarketCast, a leader in data science and fandom research.
- Benefits: Enjoy 29 days annual leave, flexible hours, and work-from-home options.
- Why this job: Make an impact by transforming data into actionable insights for top brands.
- Qualifications: Bachelor's degree in relevant fields and proficiency in SQL and Python.
- Other info: Dynamic team culture with opportunities for professional growth and development.
The predicted salary is between 28800 - 48000 £ per year.
Overview
Location – Reading / London
Data-Driven Research and Insights
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 which 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.
Responsibilities
- 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
Qualifications
- 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
- 4% match pension scheme
- 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
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Junior Data Scientist employer: MarketCast
Contact Detail:
MarketCast Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for interviews by practising common data science questions. Get comfy with explaining your thought process and showcasing your problem-solving skills.
✨Tip Number 3
Show off your passion for data! Bring examples of projects you've worked on, especially if they relate to fandoms or industries we work with. It’ll make you stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data science shine through! Talk about what excites you about working with large datasets and how you love digging into the numbers to uncover insights.
Tailor Your Application: Make sure to customise your application for the Junior Data Scientist role. Highlight your skills in Python, SQL, and any relevant projects you've worked on. We want to see how your experience aligns with our needs!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and skills. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at MarketCast
✨Know Your Data Tools
Make sure you brush up on your skills with Python, SQL, and Tableau. Be ready to discuss how you've used these tools in past projects or coursework. It’s a great way to show your technical prowess and how you can contribute to the team.
✨Show Your Curiosity
Demonstrate your passion for data by discussing interesting datasets you've explored or insights you've uncovered. This aligns perfectly with the company's value of curiosity and shows that you're eager to dig deeper into data.
✨Understand the Business Context
Prepare to talk about how data can solve real business problems. Think of examples where data analysis led to actionable insights. This will highlight your ability to connect data with business outcomes, which is crucial for the role.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. Strong communication skills are key, especially when working with teams across different departments. Being able to articulate your thoughts clearly will set you apart from other candidates.