Data Scientist
2 weeks ago
We are seeking an experienced Data Scientist to design and implement robust entity resolution solutions for complex, large-scale datasets. The successful candidate will apply probabilistic and deterministic matching techniques to deliver production-ready solutions, even where ground truth is unavailable. You will work closely with the existing delivery team to develop models, documentation, and associated productionised services.
Key Responsibilities- Develop and optimise entity resolution models using Splink.
- Apply statistical and machine learning approaches to improve matching accuracy.
- Design scalable solutions for linking records across diverse datasets.
- Validate and document methodologies to ensure transparency and reproducibility.
- Collaborate with technical teams to integrate solutions into operational environments.
- Knowledge of financial services/regulatory sector.
- Proven experience in entity resolution, including probabilistic and deterministic methods.
- Strong proficiency in Python and SQL.
- Hands-on experience with Splink for record linkage.
- Ability to work with incomplete or ambiguous data and design robust matching strategies.
- Strong analytical and problem-solving skills.
- Familiarity with graph technologies (e.g., Neptune, Neo4j, OpenCypher).
- Experience with Agile delivery practices.
- Exposure to cloud-based deployments and DevSecOps principles.
- Role falls within IR35 legislation; PAYE deductions required.
- All staff must pass criminal, financial, identity, and reference checks prior to engagement.
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London
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