Senior Data Scientists

BDO
London
12 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

ML Runtime Engineer (Mid-Level and Senior)

Fractile London, United Kingdom
Hybrid

Senior Data Scientist

Faculty AI London, United Kingdom
Remote Clearance Required

Senior Data Scientist

Appcast Enterprise Bristol, United Kingdom

Senior Data Scientist - Product Data

Synthesia London, United Kingdom
Hybrid

Data Science

Pontoon London, City And County Of the City Of London, United Kingdom
£500 – £750 pd Hybrid

Lead Data Scientist

Artis Recruitment Bristol, Bristol (county), United Kingdom
£70,000 – £80,000 pa

Senior Research Data Scientist

dunnhumby London, United Kingdom
On-site
Posted
11 Aug 2025 (12 months ago)

Senior Data Scientists – London – Hybrid

Job description
BDO Regulatory Solutions are currently recruiting for a Senior Data Scientists to join our client, a regulated firm, based in London.

We are offering an initial 6 month contract starting as soon as possible with a competitive rate, employed via an Umbrella company.

About the role:
We are looking for talented and experienced data scientists with experience to join our programme. Solid knowledge and experience of AI and ML is essential.

Key responsibilities include:
Design and develop AI / ML based solutions
Work with other data scientists to build and deploy production-level solutions
Troubleshoot and debug code
Work with other teams to understand and solve business problems
About you:
Python (pandas, NumPy, scikit-learn): For data wrangling, modelling, and feature engineering
SQL: For querying structured data sources
Model Development & Validation: Experience with classification, unsupervised learning (e.g. outlier detection), and ranking models
Machine Learning Deployment: Familiarity with containerised deployment (e.g. Podman, SageMaker, DSW pipelines)
Version Control (Git): To maintain reproducible and collaborative workflows
Time-Series Analysis: To assess risk trends over financial years
Exploratory Data Analysis (EDA): To spot early signals or risk clusters
Desirable:
Rank Aggregation/Ensemble Techniques: Understanding methods like Robust Rank Fusion (RRF)
Model Explainability Tools: e.g. SHAP, LIME to support interpretability
Experience with Model Monitoring & Drift Detection
Experience in RegTech/FinCrime/Data-led Supervision Projects is a plus
Additional Information:
Location: London - Hybrid 2 days onsite, 3 from home
Duration: 6 months
Day Rate: Competitive rate, to Umbrella company.

Are you ready to join the team? Click on the link to apply

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.