Senior Data Scientist

VIQU Limited; Greater London; On-site; GBP 85,000 - 120,000; Full time

Job summary

VIQU Limited in London seeks a Senior Data Scientist to turn data into actionable business insights. You will design deployable ML models for forecasting, churn, and segmentation, with emphasis on explainability and commercial impact.

You'll own end-to-end data workflows, build scalable pipelines with ML Ops, collaborate with product and engineering, and mentor junior data scientists. The role blends rigorous statistics with practical storytelling to influence product strategy and drive growth.

Qualifications

• 3-5 years of experience in Data Science, AI or ML.
• Experience designing and deploying ML models with ML Ops.
• Ability to translate statistical outputs into business decisions.

Responsibilities

• Design and build machine learning models for forecasting, propensity modelling, and customer segmentation.
• Own end-to-end data workflows: feature creation, data wrangling, model tuning, validation, deployment, and monitoring.
• Architect datasets merging structured and semi-structured data.
• Operationalise models using ML Ops and cloud-based systems.
• Collaborate with product, engineering, and client teams to align outputs with business outcomes.
• Interpret and visualise results to transform statistics into decision tools.
• Lead by example on code quality, experimentation, and reproducibility.
• Coach and mentor junior data scientists.

Skills

Forecasting

Propensity modelling

Customer segmentation

ML Ops

Data wrangling

Python

Explainable AI

Education

Bachelor's degree in CS/Math/Statistics

Master's degree preferred

Tools

Prophet

Python

R

SQL

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 (e.g. 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 industr