Data Scientists

BDO
London, United Kingdom
Today
Posted
16 Jun 2026 (Today)

Data Scientist – London - Hybrid

Job description

BDO Regulatory Solutions are currently recruiting for a Data Scientist to join our client, a Regulated firm, based in London.

We are offering an initial 6-month contract starting in September with an excellent day 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.

To work with the existing delivery team to deliver models, documentation and associated productionised services.

Key responsibilities include;

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 Experience:

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.

Experience developing solutions for record linkage and/or network analytics tasks.

Experience with graph query languages (e.g., Gremlin, Cypher), graph database platforms (e.g., Neptune, Neo4j), and/or graph visualisation platformsAdditional Information:

Location: London - Hybrid

Duration: Initial 6 months

Day Rate: Competitive, employed via an Umbrella company.

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

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