Opus Recruitment Solutions
Data Scientist

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Scientist
Remote (UK) | Leicestershire 1-2 Days Per Month | Permanent
We're partnering with an innovative AI-driven technology business that is transforming how organisations use data to make better decisions.
Following continued growth, they're looking to hire a Data Scientist to help develop predictive models, uncover meaningful insights from complex datasets, and contribute to the next generation of AI-powered products.
This is an excellent opportunity for a junior to mid-level Data Scientist who wants to work on real-world machine learning challenges, gain exposure to large-scale datasets, and play a visible role within a fast-growing technology company. The environment offers significant ownership, collaboration with experienced technical leaders, and the opportunity to see your work directly influence product development and customer outcomes.
What You'll Be Doing
- Developing and improving machine learning and predictive analytics solutions
- Preparing, cleaning and transforming datasets from multiple sources
- Building and evaluating classification, regression and forecasting models
- Working closely with engineering, product and business stakeholders to solve complex challenges using data
- Communicating insights and recommendations to both technical and non-technical audiences
- Contributing to the development of AI-driven products and analytics capabilities
- Supporting the creation of scalable data science workflows and best practices
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What We're Looking For
- Commercial, academic or research experience working with data science, analytics or machine learning
- Strong Python skills, including experience with libraries such as Pandas, NumPy and Scikit-Learn
- Understanding of machine learning concepts including classification, regression and model evaluation
- Experience preparing and analysing large datasets
- SQL skills and confidence querying data
- Strong problem-solving ability and analytical thinking
- Ability to communicate technical concepts clearly to a range of stakeholders
- A collaborative mindset with a genuine desire to learn and develop


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to Have
- Experience with cloud data platforms such as BigQuery, Snowflake or Databricks
- Exposure to XGBoost or similar machine learning frameworks
- Experience building dashboards or data visualisations
- Knowledge of responsible AI, model fairness or AI governance
- Experience working with public sector, education or social impact datasets
- Exposure to time-series modelling or forecasting techniques
Why Apply?
- Work on meaningful machine learning problems with real-world impact
- Join a growing technology business where your work will be highly visible
- Collaborate with experienced engineers, product leaders and data professionals
- Gain exposure to modern AI, predictive analytics and large-scale data environments
- Remote-first culture with flexible working
- Genuine opportunity to shape products and grow your career as the organisation scales
If you're an aspiring or early-career Data Scientist looking for a role that offers both technical challenge and career growth, we'd love to hear from you.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London