Data Scientist
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-06-21
Listing for:
N Consulting Limited
Full Time
position Listed on 2026-06-21
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
# Data Scientist at N Consulting Ltd Work mode:
Hybrid, 3 days WFO Contract duration: 6 months
Location:
London, UK Start date of the project: 1st of September 2026 --------------------------------------
- JOB DETAILS Role
Title:
Data Scientist (2 OPENINGS) Years of experience: 3-5 years Areas of responsibility:
Detailed
Job Description:
Grade & Definition:
Consultant - Substantial experience between 3-5 years and an in-depth knowledge of their specialist field.
Purpose of 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.
Background:
To work with the existing delivery team to deliver models, documentation and associated productionised services.
Responsibilities:
· 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 Knowledge & Experience Requirements:
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 Desirable/Advanced Skills
· 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
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