At a Glance
- Tasks: Analyse large datasets and create bespoke reports for clients.
- Company: Join MarketCast, a leading data science firm with a vibrant culture.
- Benefits: Enjoy free movie tickets, 29 days leave, and flexible working hours.
- Other info: Dynamic environment with opportunities for professional growth and development.
- Why this job: Make an impact by turning data into actionable insights for top brands.
- Qualifications: Strong analytical skills and a passion for data are essential.
The predicted salary is between 63000 - 77000 £ per year.
The Junior Data Scientist plays a pivotal role in supporting the execution and delivery of analytical research projects within MarketCast’s client-facing Data Science business unit in the UK. 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.
We're looking for someone to:
- 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 Streamlit 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:
We are looking for a Junior Data Scientist who possesses a strong analytical mindset, a passion for data, and a desire to learn and grow in a dynamic environment. The ideal candidate will have a solid foundation in mathematics, statistics, and computer science, as well as excellent communication and problem-solving skills. Experience with Machine Learning algorithms and data visualization tools is a plus.
Requirements include:
- 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
Who We Are:
MarketCast measures what moves people. Powered by AI, trained on decades of verified consumer response data, along with proprietary technology, MarketCast is the marketing effectiveness partner for the world's most ambitious brands, connecting emotional resonance to real-world business outcomes across advertising, sponsorships, content, brand health, and advanced analytics. With category-deep expertise spanning sports, entertainment, travel, automotive, and consumer brands, our team of seasoned industry strategists brings unmatched human intelligence to every engagement, turning complex data into decisive action so brands know exactly what's working, why it's working, and what to do next.
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.
Our Values:
- Move The Needle: We turn insight into action and action into impact, acting with urgency and intention at every level, anticipating what's needed, executing with discipline, and driving outcomes that are measured and meaningful.
- Client Success is Our Scoreboard: We win when our clients win. Delivering scaled, tech-enabled solutions that drive measurable impact and value to build lasting partnerships.
- Grow Every Day: Expertise is earned continuously by investing in our craft, our colleagues, and our company.
- Own It: Take responsibility for outcomes, not just outputs.
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
- 4% match pension scheme
- Enhanced maternity pay
- Regular social events in both UK locations
- Professional growth and career development including LinkedIn Learning
In addition to your salary, MarketCast believes in providing a competitive total rewards package for its employees. All benefits are subject to eligibility requirements, and the terms of our official plan may be modified or amended from time to time.
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.
Junior Data Scientist I - DSaaS in Reading employer: MarketCast
MarketCast is an exceptional employer that fosters a dynamic and inclusive work culture, perfect for aspiring Junior Data Scientists. With a strong emphasis on professional growth, employees benefit from extensive training opportunities, flexible working arrangements, and a generous leave policy, all while contributing to impactful projects in the heart of London and Reading. The company's commitment to diversity and employee well-being, coupled with unique perks like free movie tickets, makes it an attractive place for those seeking meaningful and rewarding careers in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Scientist I - DSaaS in Reading
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like MarketCast!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Junior Data Scientist I - DSaaS at MarketCast.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like MarketCast.
✨Apply Directly through Our Website
When you find a suitable opening like Junior Data Scientist I - DSaaS at MarketCast, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Junior Data Scientist I - DSaaS in Reading
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at MarketCast, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at MarketCast. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at MarketCast
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at MarketCast!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
