At a Glance
- Tasks: Join our Data Science Product Team to build data pipelines and analyse complex datasets.
- Company: MarketCast, a leading marketing effectiveness partner powered by AI.
- Benefits: Enjoy free movie tickets, 29 days leave, flexible hours, and professional growth opportunities.
- Other info: Collaborative environment with excellent career development and a commitment to diversity.
- Why this job: Make a real impact in the media and entertainment industry with cutting-edge technology.
- Qualifications: Strong programming skills in Python and SQL; passion for learning and problem-solving.
The predicted salary is between 30000 - 40000 £ per year.
As our Junior Data Scientist - Product, you'll be a pivotal player on our Data Science Product Team, which currently comprises about 15 data scientists with varying levels of seniority. The Junior Data Scientist - Product plays a foundational role in supporting the design, engineering, execution, and delivery of advanced data science projects and market research products at Marketcast. Operating at the intersection of quantitative market research, software engineering, and artificial intelligence, this position focuses on building the backend systems and data pipelines that clean, process, and analyse complex datasets to extract actionable consumer insights.
On a daily basis, the Junior Data Scientist assists in writing production-quality code, developing and maintaining data pipelines, implementing machine learning models, and translating analytics into robust, reusable product features under senior guidance. By ensuring high data quality, engineering rigour, and contributing to innovative product features, this individual directly enhances the reliability and scalability of the organisation's media and entertainment analytics.
We're Looking For:
- Data Engineering and Pipeline Development: Design, build, and maintain reliable data pipelines that clean, preprocess, and structure complex quantitative datasets using Python, SQL, pandas, and modern data tooling.
- Quantitative Analysis & Modelling: Assist in executing statistical analyses, regression modelling, and audience segmentation under the guidance of senior team members.
- Backend & Software Development: Contribute to the backend services, APIs, and codebases that power our data products, writing clean, tested, and well-documented code under senior guidance.
- Infrastructure & Deployment: Support the deployment, monitoring, and scaling of data science workloads across our cloud and infrastructure stack under supervision.
- AI & LLM Integration: Support the integration of artificial intelligence APIs, large language models (LLMs), and natural language processing pipelines into existing data products.
- Data Quality & Validation: Execute rigorous quality control protocols across all assigned data products and research databases.
- Client Collaboration & Technical Delivery: Work closely with product managers, engineers, and senior data scientists in a collaborative, software-development style.
- Cross-Functional Initiative Support: Participate actively in company-wide product development initiatives, research-on-research experiments, and technical thought leadership groups.
Qualifications:
We genuinely don’t mind what is written on your certificate. While we would love you to have a formal qualification in any discipline that builds strong analytical and problem-solving skills, we primarily care that you're clever, rigorous, and can do the job. Equivalent practical experience - whether self-taught, through bootcamps, open-source contributions, a strong portfolio, or prior industry work - is just as welcome as a formal degree.
A successful applicant must demonstrate solid programming ability (Python and ideally SQL) and an interest in writing good, maintainable software - not just scripts. A successful applicant must further demonstrate a genuine appetite for technical depth, mathematical rigour, and continuous learning.
Who We Are:
MarketCast measures what moves people. Powered by AI, trained on decades of verified consumer response data, and backed by proprietary technology, MarketCast is the marketing effectiveness partner for the world's most ambitious brands.
Our Values:
- Move The Needle: We turn insight into action and action into impact.
- Client Success is Our Scoreboard: We win when our clients win.
- 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.
Junior Data Scientist I in London employer: MarketCast
At MarketCast, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. Our Junior Data Scientist - Product role not only provides the opportunity to work with cutting-edge technology in the heart of London or Reading but also supports professional growth through continuous learning and development initiatives. With generous benefits like 29 days of annual leave, flexible working arrangements, and regular social events, we ensure our employees thrive both personally and professionally while contributing to impactful projects in the media and entertainment analytics space.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Scientist I in London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like MarketCast when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like MarketCast.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like MarketCast.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through MarketCast’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Junior Data Scientist I in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at MarketCast, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at MarketCast aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at MarketCast
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
