Senior Data Scientist

VIQU Ltd; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

VIQU Ltd seeks a Senior Data Scientist in London to design, deploy, and explain AI/ML models that drive revenue and customer insights. You will own end-to-end pipelines, collaborate with product and engineering, and mentor junior data scientists, delivering impactful analytics across forecasting, churn, and segmentation.

You will apply Prophet for forecasting, k-means for clustering, and modern ML Ops practices to deploy scalable solutions in a cloud environment.

Qualifications

• 3-5 years of experience in Data Science, AI or ML roles.
• Hands-on delivery of end-to-end data science projects.
• Ability to translate statistical outputs into actionable business insights.
• Collaborative cross-functional work with product, engineering and clients.

Responsibilities

• Design and build ML models for forecasting, propensity, segmentation and optimization.
• Own end-to-end data workflows: feature creation, wrangling, tuning, validation and deployment.
• Operationalise models with ML Ops and integrate with cloud systems.
• Collaborate with product, engineering and client teams to align outputs with business goals.
• Interpret results visually to tell compelling stories and enable decision making.
• Experiment with new methods to improve performance and interpretability.
• Maintain code quality, reproducibility, and documentation.
• Mentor junior data scientists and lead by example.

Skills

Forecasting

Propensity modelling

Customer segmentation

MLOps

Data storytelling

Mentoring

Tools

Prophet

K-means

Cloud platforms

Job description

Senior Data Scientist

Location: London

Reporting To: Chief Technology Officer

About Us

Our client is a leading AI-powered SaaS company that helps businesses unlock the full potential of their first-party data. Their platform solutions transform complex data into actionable intelligence, enabling clients to drive customer revenue growth, optimise decision-making, and gain a competitive edge.

They specialise in key UK consumer service sectors, including Finance, Retail, Travel, Telco, and Healthcare, where AI-driven insights turn first-party data into a competitive advantage. Built on deep industry expertise from working with major household-name brands, their solutions tackle real-world commercial challenges with precision.

Currently serving clients in four countries, they have two live products and two cutting‑edge AI solutions in development. These innovations, combined with deep industry expertise, position them to scale rapidly and deliver exceptional value.

This is an exciting moment in their journey as they scale rapidly, push AI-driven decision intelligence forward, and help businesses unlock sustainable growth.

Role Overview

We're looking for a Senior Data Scientist who can combine the rigour of statistical modelling with the creativity of real-world storytelling. You'll design and deliver AI/ML models that are not just accurate - but deployable, explainable, and aligned to clients' commercial goals.

You’ll play a key role in shaping how AI is productised and scaled, from building bespoke datasets to operationalising end-to-end pipelines with ML Ops. Your work will span forecasting, customer segmentation, churn prediction, and commercial optimisation.

This is not a research role - it's a hands-on, high-impact position for someone ready to own data science delivery across a variety of projects and products.

Key Responsibilities

Design and build machine learning models for:

? Forecasting (eg demand, revenue) using tools such as Prophet

? Propensity modelling for churn, conversion, and cross-sell

? Customer segmentation using k-means or advanced clustering techniques

• Own end-to-end data workflows: feature creation, data wrangling, model tuning, validation, deployment, and monitoring
• Architect your own datasets where needed - merging structured and semi-structured data to power robust insights
• Operationalise models using ML Ops, ensuring continuous delivery and integration with cloud-based systems
• Collaborate with product, engineering, and client teams to align technical outputs with business outcomes
• Interpret and visualise results artistically and insightfully - transforming statistical outputs into compelling decision tools
• Continuously experiment with new methods, technologies, and approaches to improve performance and interpretability
• Lead by example on code quality, experimentation, and reproducibility
• Coach and mentor junior data scientists
• 3-5 years of experience in a Data Science, AI, or ML-related role

Why Join?

• Work on real-world AI challenges that impact millions of customer decisions
• Join a cloud-native, AI-first company where models are deployed, scaled, and used - not just prototyped
• Collaborate with senior AI engineers, product managers, and domain experts
• Shape product and platform direction through your modelling and insight
• Competitive salary, professional development budget, and mentorship from industry veterans

This is an opportunity to push the boundaries of applied data science in a company that doesn't just talk about AI - they build it, run it, and scale it.

If you're a builder, thinker, and creative technologist - we want to hear from you.