At a Glance
- Tasks: Use data science and machine learning to solve real operational challenges.
- Company: Join a well-established organisation with a focus on innovation.
- Benefits: Competitive salary, bonus, hybrid work, and professional development opportunities.
- Other info: Great opportunity for early-career professionals with excellent growth potential.
- Why this job: Take ownership of projects and influence decisions with your insights.
- Qualifications: Experience in data science, Python, SQL, and Power BI required.
The predicted salary is between 45000 - 53000 £ per year.
This role is being handled by Via, a secure hiring platform used by employers to review candidates. Operations Data Scientist Salary: £45,000 – £53,000 + bonus + benefits Location: Milton Keynes (hybrid: one day a week in the office) Job type: Permanent, full-time
About our client We're working with a well-established organisation looking for an Operations Data Scientist to join its growing Operations Data Science function. You'll use data science, machine learning and advanced analytics to improve how the business runs. You'll tackle complex operational problems, challenge assumptions and turn insight into decisions that deliver measurable value. This is an excellent opportunity for an early-career data scientist who wants real ownership of their work and close exposure to senior stakeholders.
The role:
- Own defined data science use cases from start to finish: problem framing, exploratory analysis, modelling, validation, implementation and monitoring
- Apply statistical modelling, machine learning and AI techniques to operational challenges using Python and SQL
- Build and evaluate predictive, forecasting, classification, optimisation or anomaly-detection models as appropriate
- Investigate operational performance across multiple data sources and turn findings into clear, practical recommendations
- Maintain and improve operational Power BI dashboards so reporting supports real decision-making
- Build trusted relationships with senior Operations stakeholders and influence decisions with evidence
- Help shape the Operations Data Science roadmap by identifying and delivering high-value opportunities
- Work to established standards for data quality, model governance and responsible AI, with reproducible work and a clear audit trail
What you'll need:
- Professional experience in a data science role, applying statistical or machine learning techniques to real business problems (up to around two years' experience)
- Hands-on experience building data science solutions in Python and working with data in SQL
- Experience across the full data science lifecycle, including problem framing, feature engineering, model evaluation, implementation and monitoring
- Power BI experience, including data modelling, DAX, visualisation design and dashboard performance
- Strong analytical problem-solving, with the curiosity and tenacity to dig into results
- Clear communication and data storytelling skills for both technical and non-technical audiences
Data Scientist employer: VIA MATCH LIMITED Careers
Via is an exceptional employer, offering a dynamic and fast-paced work environment in the heart of London. With a strong focus on employee growth, you will have the opportunity to engage directly with senior leadership while enhancing your skills in FP&A and commercial finance. The hybrid working model, competitive salary, and generous pension contribution further underscore our commitment to fostering a supportive and rewarding workplace for our team members.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Scientist
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 VIA MATCH LIMITED Careers, 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 VIA MATCH LIMITED Careers. 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 VIA MATCH LIMITED Careers
✨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 VIA MATCH LIMITED Careers!
✨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.
