Senior Data Scientist at Synechron, London, £Contract Rate

About Synechron:

Synechron is a leading digital transformation consulting firm dedicated to delivering innovative technology solutions within banking, financial services, and insurance. We thrive on engineering excellence, collaboration, and a passion for cutting-edge technologies.

Job Location: London (Hybrid- 3 days in the office)

The Job:

This role sits within a newly formed team - AI team - which is responsible for leveraging AI. You will implement, build and deploy Back End systems to automate the analysis of data, code, documentation and Jira, and structure the extracted knowledge in a Credit Risk Domain aware knowledge graph.

Job Description:

• Lead the design, development, and deployment of advanced Machine Learning and AI solutions across Credit Risk and Customer Analytics domains.
• Build and deploy backend AI systems to automate analysis of structured and unstructured data (data, code, documentation, Jira).
• Design and maintain Credit Risk domain-aware knowledge graphs to enable intelligent decisioning and insight discovery.
• Own end-to-end ML lifecycle: problem framing, feature engineering, model development, validation, deployment, and monitoring.
• Contribute to and influence system architecture, ensuring reliability, scalability, performance, and security.
• Collaborate closely with cross-functional teams including Engineering, Risk, Product, and DevOps.
• Mentor, manage, and scale multiple analytics teams, enabling them to reach advanced technical and delivery maturity.
• Drive adoption of best-of-breed ML techniques, especially in Credit Risk modelling and Customer Analytics.
• Present complex analytical concepts clearly and persuasively to senior leadership and C-level stakeholders, effectively selling data-driven ideas.
• Champion clean, maintainable, production-grade code and engineering best practices.

What we ll need from you

• 15 20+ years of hands-on experience in enterprise-scale data science and software delivery.
• Advanced Python expertise with strong proficiency in FastAPI for Back End services.
• Hands-on coder with advanced skills in Python, PySpark, SQL.
• Deep understanding of software design principles, architectural patterns, and scalable system design.
• Experience across the full software lifecycle: design, implementation, deployment, and production support.
• Strong background in containerized deployments (Kubernetes, OpenShift, or equivalent).
• Proven expertise in DevOps practices, CI/CD pipelines, and Agile delivery methodologies.
• Extensive experience with cloud platforms; AWS, SAS, and GCP certifications preferred.
• Proven ability to contribute to architecture and design decisions for new and existing platforms.
• Experience with complex data pipelines and large-scale data processing systems.

What we can offer you

This role provides a unique opportunity to significantly contribute to our organization's strategic direction through innovative AI product development within a dynamic financial environment. You will gain in-depth knowledge of advanced financial services operations, working on critical deliverables integral to cutting-edge AI projects. This will enable you to develop valuable new skills, contribute to an advanced AI ecosystem, and accelerate your career in a leading global financial institution.

Diversity Statement

Synechron are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.