Hadte Group (Hadteg)
Senior Data Scientist

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Senior Data Scientist | Environmental Technology (CleanTech)
Join a leading Robotics AI company, transforming the environment. A great chance to apply data science to real-world sustainability challenges through data, AI, and robotics. Working within a senior R&D team, this position focuses on statistics, time-series analysis, simulation, and optimization.
You'll directly improve the efficiency of complex physical systems, making a tangible impact across the UK, Europe, and America.
Essential Skills
- 5+ years Python programming skills
- Experience working with time-series or sensor data
- Exposure to large datasets
- Advanced SQL
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.
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- Build statistical and probabilistic models to detect anomalies
- Develop simulation models to evaluate process improvements before deployment
- Design optimization algorithms to improve throughput and operational efficiency
- Analyze large-scale time-series and sensor data
- Work closely with the wider technical team alongside non-technical domain experts to deploy models into production
- Visualize your success in-person with international business travel
Benefits
- A great chance to apply data science to a real-world sustainability challenge
- Utilize your knowledge for good (CleanTech domain)
- Freedom to research, experiment, and implement your ideas
- Highly experienced R&D team (elite backgrounds) with significant ownership
- Fast decision-making with minimal bureaucracy
- Supportive, collaborative culture that encourages learning and growth
- Flexible working with a collaborative, high-performance culture
- Modern Python-based data stack with access to the latest tools and technologies
- International travel opportunities
- Unlimited annual leave (minimum 30 days plus bank holidays)
- Private healthcare
- Quarterly/annual company retreats
- Industry-leading packages (competitive salary), plus an endless list of benefits.
“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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