At a Glance
- Tasks: Design and develop AI/ML solutions, troubleshoot code, and collaborate with teams.
- Company: Join a leading Financial Services company focused on innovative AI/Machine Learning projects.
- Benefits: Enjoy a hybrid working pattern with 2 days per week in the London office.
- Other info: Contract starts on 1st September for a duration of 6 months.
- Why this job: This role offers the chance to work on cutting-edge AI/ML solutions in finance.
- Qualifications: Candidates must have 3-5 years of experience in AI/ML and strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
Do you have experience of providing Data Scientist expertise on an AI/Machine Learning project? This consulting opportunity is to support our client, a leading Financial Services company, to deliver models, documentation and associated productionised services.
The project needs a consultant who has:
- 3-5 years’ experience and can design and develop AI / ML based solutions
- Excellent knowledge of Python (pandas, NumPy, scikit-learn): for data wrangling, modelling, and feature engineering
- Working knowledge of SQL, for querying structured data sources
- Experience of Model Development & Validation
- Experience of Machine Learning Deployment
Key services:
- 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.
Mandatory Requirements:
Successful consultants will be able to demonstrate experience in the following:
- 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
- Financial Crime industry experience.
Optional Requirements:
It will also be advantageous if you have the following experience:
- Rank Aggregation/Ensemble Techniques: understanding methods like Robust Rank Fusion (RRF)
- Model Explainability Tools: e.g. SHAP, LIME to support interpretability
- Model Monitoring & Drift Detection
- RegTech/FinCrime/Data-led Supervision Projects developing solutions for record linkage and/or network analytics tasks
- Graph query languages (e.g., Gremlin, Cypher), graph database platforms (e.g., Neptune, Neo4j), and/or graph visualisation platforms.
Working Pattern: Hybrid (2 days per week in London office)
Contract Type: Inside IR35
Start: 1st September
Duration: 6 months +
CT-4408; AI & ML Data Scientist employer: B2E Consulting Ltd
This leading Financial Services company is at the forefront of AI and Machine Learning innovation. Employees benefit from a hybrid working model and the opportunity to work on impactful projects. The team values collaboration and expertise in tackling complex business problems.
