Senior Data Scientist

ZipRecruiter; City Of London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A high-growth fintech company is seeking a Senior Data Scientist to drive AI and ML innovation within financial data products. This role involves technical leadership, mentoring, and shaping product strategy. Ideal candidates will have strong Python, MLOps, and cloud experience, along with a STEM background. The position offers flexible hybrid options and a competitive salary with equity potential.

Benefits

Competitive salary

Strong equity upside

Qualifications

• Proven experience with deploying, monitoring, and scaling models in production.
• Strong cloud experience and comfort with CI/CD pipelines.
• Track record of mentoring others and driving engineering culture forward.

Responsibilities

• Drive excellence across the data science stack and influence product direction.
• Shape product strategy using domain knowledge of financial data.
• Own end-to-end lifecycle of models from design to monitoring.

Skills

Expert-level Python (scikit-learn, pandas, etc.)

SQL

MLOps expertise

AWS, GCP, or Azure

CI/CD pipelines

Classic ML and deep learning

Mentoring others

STEM background

Education

STEM degree

Tools

Databricks

Job description

Senior Data Scientist – High-Growth Fintech SaaS | Strategic AI & ML Role

We’re supporting a fast-scaling fintech SaaS company backed by tier-one investors to find a Senior Data Scientist to take a lead role in shaping their data science capability. This is a high-impact position where you’ll combine deep technical expertise with strategic product influence, embedding AI and ML at the heart of next- financial data products.

The Opportunity

As Senior Data Scientist, you’ll be both a leading individual contributor and a mentor. You’ll drive excellence across the data science stack, champion technical best practice, and influence product direction with a deep understanding of financial data ecosystems. This role sits at the intersection of AI innovation, product strategy, and engineering culture, giving you the freedom to deliver solutions that scale globally.

What You’ll Be Doing

• Acting as a technical leader and mentor, raising the bar for data science capability
• Using domain knowledge of financial data to shape product strategy and solve complex client problems
• Driving AI/ML innovation — prototyping and embedding intelligent solutions into core products
• Owning the end-to-end lifecycle of models, from design and deployment to monitoring and continuous improvement
• Leveraging modern cloud and MLOps tooling to build scalable, reliable solutions
• Communicating data-driven insights and influencing both technical and business stakeholders

What We’re Looking For

• Expert-level Python (scikit-learn, pandas, etc.), SQL, and big data platforms (e.g. Databricks)
• Proven experience with MLOps: deploying, monitoring, and scaling models in production
• Strong cloud experience (AWS, GCP, or Azure) and comfort with CI/CD pipelines
• Broad data science expertise spanning classic ML, deep learning, and cutting-edge AI/agent approaches
• Strategic thinker who can balance speed with quality and big-picture vision with hands-on delivery
• Track record of mentoring others and driving engineering culture forward
• Background in STEM

Why Join?

You’ll be part of a mission-driven scale-up at the cutting edge of financial data, backed by some of the world’s most prominent investors. This is a chance to set technical standards, shape product innovation, and see your work directly impact global financial services.

Location: Flexible UK/EU or US hubs (hybrid / remote options available)

Competitive salary + strong equity upside