At a Glance
- Tasks: Develop machine learning models for demand forecasting and pricing optimisation.
- Company: Join Sparkbox, a venture-backed London retail tech company recognised for innovation.
- Benefits: Competitive salary, ownership of projects, and rapid career growth in a dynamic startup.
- Other info: Work in a lean, expert team with a focus on sustainability and commercial insights.
- Why this job: Make a real impact on global brands like New Balance and River Island.
- Qualifications: Experience in predictive ML, Python coding, and cloud deployment.
The predicted salary is between 63000 - 77000 £ per year.
Sparkbox.ai is a venture-backed London retail tech company recognized by Forbes and Tech Nation for building AI-driven inventory and pricing optimization tools for global brands like New Balance and River Island.
You will develop the machine learning models powering demand forecasting and pricing optimization for global retail brands. Working alongside the Principal Data Scientist, you will own the full model lifecycle—from design and testing to production deployment on GCP—ensuring solutions are scalable, robust, and deliver actionable commercial insights.
Location: London, UK
Why this role is remarkable:
- Work on real-world ML problems that directly impact margins and sustainability for major global retailers like River Island and New Balance.
- Join a high-growth, venture-backed startup recognized by Forbes and Tech Nation as one of the UK’s most innovative early-stage tech companies.
- Experience a high level of ownership, seeing your models move from development to production deployment quickly within a lean, expert team.
What You Will Do:
- Design and improve predictive ML models for price optimization and demand forecasting using Python and cloud-based infrastructure.
- Build end-to-end production solutions following strict software engineering practices, including unit testing, Git best practices, and object-oriented programming.
- Analyze complex retail datasets to uncover actionable insights that inform product strategy and commercial decision-making for enterprise clients.
The ideal candidate:
- Proven experience applying predictive machine learning to real-world problems with production-quality Python code using scikit-learn and pandas.
- Hands-on expertise deploying and maintaining ML models in cloud environments, specifically GCP or similar platforms.
- Strong software engineering foundations, including unit testing and the ability to write clean, scalable code beyond simple notebooks.
Data Scientist / Senior Data Scientist at Sparkbox in London employer: Jack & Jill
At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist / Senior Data Scientist at Sparkbox in London
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We think you need these skills to ace Data Scientist / Senior Data Scientist at Sparkbox in London
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!
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Craft a Tailored Cover Letter:For a full-time role at Jack & Jill, 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 Jack & Jill. 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 Jack & Jill
✨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!
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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 Jack & Jill!
✨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.
