Datatech Analytics
Data Scientist / Engineer - Mid Level

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Data Science Engineer - MMM/Econometrics - Central London Hybrid – Up to £50,000 depending on experience - J13129
Amazing opportunity to join one of the UK’s leading independent media agencies as a Data Science Engineer. A pivotal technical role sitting at the intersection of data science and engineering, supporting the marketing effectiveness team in delivering high impact, data driven insights.
Working for an IPA Effectiveness accredited agency, across multiple leading brands and charities helping to transition manual workflows into scalable, automated, production ready systems, building innovative tools which strengthen the marketing mix modelling and econometrics capabilities.
What you’ll do
- Maintain and enhance core Python modelling tools for Marketing Effectiveness
- Migrate manual workflows into automated production systems
- Develop in-house tools that improve our MMM and econometric capabilities
- Diagnose and resolve complex technical issues across production systems
- Work closely with analysts and stakeholders to solve domain-specific challenges
- Ensure accuracy and configuration of tools used in client delivery
- Produce clear technical documentation and promote best practices
- Mentor junior engineers and contribute to peer code reviews
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.
You’ll need to have
- Strong Python engineering skills (clean, modular, production-ready code)
- Experience in data science, including ML/statistical modelling for MMM and econometrics
- Strong SQL for data extraction and analysis
- Solid understanding of software engineering fundamentals (Git, agile workflows)
- Ability to communicate complex ideas clearly to technical and non-technical audiences
- Degree in Computer Science, Data Science, or related field


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If this sounds like the role for you then please apply today!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk
“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.”
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