Senior Data Scientist - Intelligent Financial Solutions
Salary: Up to £100,000 plus company benefits
Technology: Python, RAG, Rust, LLM, ML
Location: Fully Remote (must be UK based)
Are you passionate about using data to drive innovation and empower businesses? Do you thrive in a fast-paced, tech-forward environment? Join a leading provider of financial solutions committed to delivering excellence through cutting-edge technology.
They are looking for an experienced Senior Data Scientist to join our team and lead data-driven strategies that align with our business objectives. In this role, you’ll work at the intersection of technology and finance, leveraging data to solve complex challenges, optimise performance, and enhance client experiences.
What You’ll Do:
- Develop and deploy advanced machine learning models to support financial decision-making and product innovation.
- Analyse large datasets to uncover trends, insights, and opportunities that drive business growth.
- Collaborate with cross-functional teams to integrate data science solutions into company systems and processes.
- Ensure data integrity, security, and compliance across all initiatives.
- Stay ahead of industry trends, exploring the latest advancements in AI and financial technologies.
What We’re Looking For:
- Proven experience in data science, particularly in financial services or fintech.
- Strong expertise in Machine Learning, predictive modeling, and statistical analysis.
- Proficiency in Python, Rust, RAG or LLM's.
- Knowledge of AI applications in finance, including risk assessment, fraud detection, and customer personalisation.
- Exceptional problem-solving and communication skills.
- Relevant certifications or advanced degrees in data science, AI, or a related field are a plus.
This is a perfect opportunityto make a real impact in a dynamic and innovative company who offer Fully Remote working and a culture that values collaboration, professional growth, and work-life balance.
Please note that due to the high volume of applications, we may not be able to provide feedback to all applicants.