Data Scientist
Listed on 2026-10-31
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
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 contract starting in November through to 31st March 2027 initially with an excellent day rate, employed via an Umbrella company. We are looking for talented and experienced data scientists with experience to join our programme. To work with the existing delivery team to deliver models, documentation and associated productionised services.
Solid knowledge and experience of AI and ML is essential, Python (pandas, Num Py, 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, Sage Maker, 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.
- Solid knowledge and experience of AI and ML is essential, Python (pandas, Num Py, 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, Sage Maker, 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.
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 Reg Tech / Fin Crime / 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 platforms
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).