Lorien
Data Scientist (AI / ML) - Near Edinburgh Hybrid - 42K plus Bonus

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Data Scientist (AI / ML) - Near Edinburgh Hybrid - 42K plus Bonus
Hybrid – 2/3 days in office per week
Lorien’s longstanding client based near Edinburgh, a leader in their industry with an award-winning product line making a huge difference around the globe, have asked us to help them in their search for a Data Scientist with a good grasp of Artificial Intelligence / Machine Learning to form a key part of their already innovative, highly collaborative R&D-style environment.
You’ll use your talents across everything from delivering well-documented designs and implementations of ML models and analytical methods, to bridging the gap between Data Science and Product teams and acting as a core figure in the communication and translation of ongoing AI strategies to stakeholders.
This is an ideal opportunity for someone who enjoys tackling complex data challenges, applying modern AI and machine learning techniques, and seeing their work have a tangible impact on real-world products used internationally.
Key Responsibilities
- Design, develop, and evaluate machine learning models and advanced analytical solutions.
- Produce clear technical documentation, performance reports, and experimental evaluations to support business and product decisions.
- Collaborate with a range of internal stakeholders to ensure solutions meet performance, quality, and commercial objectives.
- Support the integration, verification, and validation of machine learning solutions within product development programmes.
- Work with external research, technology, and academic partners to transfer knowledge and innovative approaches into the business.
- Identify opportunities to leverage data science techniques to improve products, customer experiences, and internal business processes.
- Contribute to the continuous improvement of development standards, methodologies, and infrastructure.
- Stay current with emerging trends and developments across data science, machine learning, artificial intelligence, and analytics.
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.
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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.
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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
- PhD, or equivalent commercial track record, in a quantitative discipline such as Computer Science, Engineering, Mathematics, Physics, Data Science, or a related field.
- Demonstrable experience translating research and technical concepts into practical, real-world applications.
- Excellent programming skills and a solid understanding of algorithms, computational methods, and software development principles.
- Experience designing and conducting experiments, evaluating performance, and interpreting complex datasets.
- Strong communication skills with the ability to present technical findings to both technical and non-technical audiences.
- A curious and collaborative mindset with a passion for innovation and problem-solving.


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What's on Offer
- Annual bonuses and salary reviews, hybrid working and flexible start/finish times, comprehensive benefits package, and more.
- Opportunity to work on genuinely innovative technology and products with global reach.
- Collaborative environment with highly skilled researchers, engineers, and technical specialists.
- Exposure to global-reaching AI, machine learning, and data science projects.
- Professional and technical development opportunities within a growing and successful organisation.
If you're passionate about applying machine learning and data science to solve complex challenges and want to join an organisation at the forefront of innovation, we'd love to hear from you. In return, our client offers their employees ample opportunities to flourish both technically and professionally, give back to the community in a very direct and rewarding way, and enjoy a range of different benefits with people at the centre, such as flexible and hybrid working arrangements, annual bonuses and salary reviews, and more.
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