Data Scientist (AI/ML)

Location: London, United Kingdom

Estimated annual pay range: £45,000–£50,000, including base salary and bonus. Compensation varies based on job-related knowledge, skills, experience, and market location.

Company

Global provider of IT solutions and services supporting organizations with technology, commercial, and enterprise business needs.

What you will do

• Support the development of machine learning models for pricing optimization, margin prediction, customer segmentation, deal scoring, prioritization, and commercial risk assessment.
• Apply regression, clustering, time series forecasting, and classification to commercial datasets.
• Analyze historical pricing, win/loss, vendor incentive, and cost data to identify trends and inform pricing strategy.
• Collaborate with Pricing Strategy, Competitive Intelligence, and Deal Desk teams to identify and test use cases.
• Create dashboards and visualizations that provide insights into pricing performance and deal behavior.
• Help translate models into decision aids, work with BI and Data Engineering on clean data pipelines, and participate in A/B testing and pilot deployments.

Requirements

• 2–4 years of experience in data science, machine learning, pricing analytics, or commercial operations.
• Strong technical background in Python or R, SQL, and applied machine learning libraries such as scikit-learn, TensorFlow, or XGBoost.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Understanding of statistical methods, supervised and unsupervised learning, and business experimentation.
• Ability to interpret and communicate insights clearly to non-technical stakeholders.
• Comfort working in a fast-paced, cross-functional environment with exposure to commercial decision-making.
• Analytical thinking, data analysis, data literacy, critical thinking, attention to detail, communication, problem-solving, technical expertise, time management, and continuous improvement skills.

Nice to have

• Exposure to pricing models, B2B enterprise sales, or SaaS and commercial optimization domains.
• Familiarity with CRM systems such as Salesforce or Q2C systems.
• Interest in finance, negotiation science, or behavioral economics.

Culture & Benefits

• Commitment to diversity and equal opportunity.
• Continuous professional growth and leadership opportunities.
• Health, wellness, and financial benefits.
• Access to professional facilities and technology.