Do you have experience of providing Data Science expertise for complex large datasets?
B2E Consulting is seeking an experienced Data Scientist to join a leading Financial Services client. The successful candidate will bring substantial expertise in entity resolution, probabilistic and deterministic matching, and the delivery of production-ready solutions for large-scale, complex datasets. This is a senior consultant role requiring 5–7 years of experience within data science and familiarity with the challenges faced by financial services and regulatory organisations.
The project needs a consultant who has:
- 5–7 years’ experience in data science, analytics, or a closely related field.
- Strong experience in entity resolution, record linkage, or matching algorithms.
- Proficiency in probabilistic and deterministic matching techniques.
- Hands-on experience with Python and data science libraries; Splink experience preferred.
Key services:
The key services that you will be asked to provide are:
- Design, develop, and optimise entity resolution models using Splink.
- Apply statistical and machine learning techniques to improve record-matching accuracy.
- Deliver robust, scalable solutions to link records across diverse datasets.
- Work with the delivery team to implement models and associated productionised services.
- Validate and document methodologies to ensure transparency, reproducibility, and regulatory compliance.
- Collaborate with technical and operational teams to integrate solutions into production environments.
- Contribute to project planning and provide technical expertise across multiple relevant projects.
Mandatory Requirements:
Successful consultants will be able to demonstrate:
- 5–7 years’ experience in data science, analytics, or a closely related field.
- Strong experience in entity resolution, record linkage, or matching algorithms.
- Proficiency in probabilistic and deterministic matching techniques.
- Hands-on experience with Python and data science libraries; Splink experience preferred.
- Experience working on financial services or regulatory projects, with an understanding of their specific data challenges.
- Proven track record of delivering production-ready solutions in complex, large-scale datasets.
- Strong documentation and communication skills to convey methodologies clearly.
Optional Requirements:
It will also be advantageous if you have:
- Familiarity with cloud-based data environments (AWS, Azure, or GCP).
- Knowledge of other machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Exposure to data governance, data quality, and regulatory compliance requirements.
- Experience in mentoring or leading junior data scientists or consultants.
Working Pattern: Hybrid 2 days per week in the London office
Contract Type: Inside IR35
Start: ASAP
Duration: until 31/03/2025