Data Science Developer at Rothesay

Rothesay stands as the largest pensions insurance specialist in the United Kingdom, built with the specific purpose of protecting pension schemes and the financial futures of their members. We currently manage over £68 billion in assets, securing the pensions of more than one million individuals and distributing approximately £200 million in payments every month. Our reputation is built on prudent underwriting, a conservative investment philosophy, and a commitment to excellence in customer service. We are proud to serve the pension schemes of prominent organizations such as British Airways, Cadbury, and the Civil Aviation Authority. We are looking for a Senior Data Science Developer to join our Business Engineering team on a full-time, on-site basis in the United Kingdom.

Key outcomes

• Lead the creation of Natural Language Processing (NLP) models designed for document intelligence, specifically focusing on classifying documents and extracting essential information from unstructured text.
• Manage the full lifecycle of machine learning solutions, covering everything from initial data annotation to deploying models and monitoring their performance in production.
• Utilize Amazon SageMaker and broader AWS infrastructure to build, scale, and optimize NLP models.
• Collaborate with cross-functional partners to integrate AI-driven automation into our existing business workflows.
• Partner with business stakeholders to identify opportunities where machine learning can improve operational efficiency, enhance controls, and drive growth.
• Act as a subject matter expert, sharing knowledge on AI trends and data science best practices with your colleagues.

Requirements

• At least 4 years of professional experience in a Data Science or Machine Learning capacity.
• A minimum of 3 years of commercial software development experience using Python.
• Proven technical expertise in NLP, including document classification and information extraction techniques.
• Hands-on experience building and managing end-to-end ML pipelines on AWS.
• Strong proficiency with deep learning frameworks such as PyTorch, TensorFlow, Hugging Face, or spaCy.
• The ability to establish robust benchmarks and metrics to evaluate model accuracy in real-world environments.
• Excellent problem-solving skills, with a track record of analyzing complex issues and prioritizing solutions that deliver significant impact.
• Strong communication skills and a collaborative mindset, with a focus on working effectively within a team.
• Fluency in English.

Preferred qualifications

• Experience with information retrieval tasks, including the generation of embeddings using BERT, Word2Vec, or TF-IDF.
• Practical knowledge of working with searchable databases like Elasticsearch, including indexing and query optimization.
• Experience with semantic search techniques, such as similarity search and ranking, to improve document retrieval efficiency.

How to apply

If you are an original thinker who thrives in a collaborative environment and wants to help us transform the pensions industry, we invite you to submit your application. We value diversity and encourage all qualified candidates to apply, as we believe our strength comes from the unique perspectives of our people.