At a Glance
- Tasks: Transform messy data into impactful models and insights for a leading data-first company.
- Company: Join a modern, innovative company free from legacy systems and bureaucracy.
- Benefits: Competitive salary, annual bonus, hybrid working, and generous leave policies.
- Other info: Enjoy on-demand training and an annual budget for professional development.
- Why this job: Make a real impact with your analysis and enjoy genuine ownership of your work.
- Qualifications: Strong Python and SQL skills, with experience in cloud environments and data modelling.
The predicted salary is between 55000 - 55000 £ per year.
Gain experience with enterprise level projects at a "data-first" company that is free of legacy systems and corporate bureaucracy!
The Opportunity
As Data Scientist, you will turn messy, high-volume data into the models and insights that directly shape the company's core platform. Because data is the product here, you won't be playing second fiddle to any other function, your analysis has a direct, visible line to what the business actually sells, and you'll be able to point to measurable impact quickly. There is zero legacy system maintenance in this role: the infrastructure is modern and cloud-native, so your time goes into solving real analytical problems rather than firefighting old technical debt. This is a hands‑on, mid‑level role suited to someone with a few years' commercial experience who wants genuine ownership rather than being one of many data scientists in a large, siloed team.
What You'll Be Doing
- Designing and building statistical and machine learning models that solve real commercial problems around pricing, loyalty and customer behaviour
- Writing efficient, well‑tested SQL and Python to explore, clean and model data at scale
- Working with modern cloud data warehousing tools to access and analyse large, high‑volume datasets
- Translating analysis into clear, actionable recommendations for both technical and non-technical stakeholders
- Collaborating closely with data engineers to get models into production and monitor their performance
- Designing and interpreting experiments (A/B tests and similar) to validate impact
Requirements
- Strong Python skills for data analysis and modelling, plus solid commercial experience with SQL
- Experience building statistical or machine learning models and working with data in a cloud environment (AWS, Azure, GCP or Snowflake)
- Exposure to FMCG or retail data i.e. sales, loyalty, pricing, product or customer data will be a strong advantage, though not essential
- A pragmatic, detail‑oriented approach and good communication skills
On Offer
- Salary up to £55,000
- Annual Bonus
- Hybrid, flexible working
- 26 days annual leave + BH
- Fully paid day off per year to volunteer or support a charitable cause of your choice
- On-demand training AND an annual training budget
Please note that only candidates within a reasonably commutable distance of Leeds, and full right to work will be considered.
Data Scientist in Ledston employer: Brio Digital
Brio Digital is an exceptional employer for aspiring Trainee Delivery Consultants, offering a dynamic work culture that fosters ambition and results-driven performance. With structured training, clear progression paths, and the opportunity to earn uncapped commission, employees are supported in their growth while working in a collaborative Chester office environment. This role not only provides valuable experience in tech recruitment but also allows you to build meaningful relationships in a high-demand market.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Ledston
✨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 Brio Digital!
✨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 Data Scientist at Brio Digital.
✨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 Brio Digital.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Brio Digital, 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 Data Scientist in Ledston
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 Brio Digital, 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 Brio Digital. 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 Brio Digital
✨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 Brio Digital!
✨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.
