Empiric
AI Consultant/Data Scientist | Generative AI | Hybrid | Outside | 6 Months Rolling

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AI Consultant/Data Scientist | Generative AI | Hybrid | Outside | 6 Months Rolling
An opportunity has arisen for an experienced AI Consultant / Data Science Consultant to join a growing consultancy delivering cutting-edge AI and machine learning solutions for a range of enterprise clients. This role will play a key part in designing, developing and deploying innovative AI solutions that solve real business challenges, helping organisations unlock greater value from their data through Machine Learning, Large Language Models (LLMs) and Generative AI.
Responsibilities
- Working across multiple client engagements, you'll be responsible for translating business problems into scalable AI solutions, working closely with stakeholders to understand their objectives, define technical approaches and deliver production-ready machine learning and GenAI applications.
- Combine hands-on technical delivery with a consultative mindset, developing ML models in Python, evaluating and implementing LLM and Generative AI solutions, and applying data science techniques to customer-focused use cases including customer behaviour, marketing, digital, product and commercial analytics.
- Work with a variety of datasets including transactional, customer, loyalty, web and social data to generate actionable insights and intelligent AI-powered solutions.
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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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.
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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.
Requirements
- Proven commercial experience delivering AI, Machine Learning or Data Science solutions is essential. You'll have strong hands-on experience with Python, Machine Learning and Generative AI, including exposure to Large Language Models (LLMs) and modern AI frameworks.
- Experience delivering client-facing consultancy engagements, gathering business requirements, communicating technical concepts to non-technical stakeholders and deploying production-ready AI solutions is highly desirable.
- Experience with cloud platforms (Azure, AWS or GCP), data visualisation tools, MLOps and emerging technologies such as Agentic AI would be advantageous.


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Role Details
- You'll work alongside senior business stakeholders, data teams and technical specialists to design and implement AI solutions that enable smarter decision-making, improve customer outcomes and accelerate AI adoption across enterprise organisations.
- Contract Type: Outside IR35
- Work Arrangement: Hybrid
- Contract Duration: 6 Months Rolling
Application
Apply to this Job Ad or send your latest CV to Matthew.Jury@Empiric
“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
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