Adroit People Limited (UK)
Data Scientist

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Solution Architect
Location: London, UK
Work Arrangement: Hybrid
Onsite Commitment: 3 days
Job Description
Location
London
Experience Required
- 12+ years in data science, applied ML, or advanced analytics in enterprise environments.
- Demonstrated experience extracting meaningful signals from high-volume, high-noise telemetry or behavioral datasets.
- Proficiency in Python (pandas, scikit-learn, PySpark) and statistical modelling.
- Experience building structured, repeatable analytical frameworks — use case scoring, feasibility assessments, or prioritization models — not purely ad hoc analysis.
- Background in designing feedback loops or iterative learning models that improve future analytical outcomes.
- Experience assessing data quality and coverage sufficiency before committing analytical investment to a use case.
- Identifying key entity relationships, behavioral patterns, and signal clusters to be encoded in the graph.
- Comfortable operating in ambiguous, early-stage data environments where frameworks need to be built from scratch.
- Experience collaborating with process or operational teams — translating data signals into process-level insights.
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.
Additional Skills
- Familiarity with process mining, task mining, or workforce analytics is advantageous.
- Hands-on experience in Python libraries such as pm4py (e.g. Petri Net and Display).
- Hands-on Databricks experience, including notebooks, creating pipelines, and visualizations.
- Knowledge of NLP and applying it to data quality.
- Structured, documented output discipline — scoring models, ranked inventories, and feasibility assessments suitable for senior review.


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Key Responsibilities
- Strong remote communication and collaboration skills with onsite UK leads and client.
- Lead technical solutioning of Data Science Use Cases.
Nice to Have
- LLM, OCR, RAG-based architecture.
“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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