Data Scientist at SHI International Corp. in London, United Kingdom

Job description

• We’re looking for a curious, driven, and analytically strong Data Scientist to join our newly formed Growth Strategy & Deal Operations team. You’ll play a pivotal role in helping us develop data models and decision intelligence tools that support smarter pricing, improved deal governance, and greater commercial performance across SHI’s enterprise business.
• This is a hands-on role ideal for early-career professionals who want to apply machine learning, statistical modelling, and data science techniques in real business applications — including pricing optimization, margin forecasting, deal scoring, and opportunity analysis.

Responsibilities

• Include but not limited to;
• Support development of machine learning models for pricing optimisation, margin prediction, and customer segmentation.
• Build and maintain deal scoring and prioritisation models to assess strategic value and commercial risk.
• Apply techniques like regression, clustering, time series forecasting, and classification to commercial datasets.
• Analyse historical pricing, win/loss, vendor incentive and cost data to uncover trends and inform pricing strategy.
• Collaborate with Pricing Strategy, Competitive Intelligence, and Deal Desk teams to identify and test use cases.
• Create dashboards and visualisations that enable real-time insights into pricing performance and deal behavior.
• Help translate models into tools or decision aids for use by sales, finance, and pricing teams.
• Work with the Business Intelligence and Data Engineering teams to ensure access to clean, structured data pipelines.
• Participate in A/B testing and pilot deployments of pricing or recommendation engines.

Requirements

• Analytical Thinking: Can apply critical thinking to analyse data, identify patterns, and make basic inferences.
• Data Analysis: Can identify patterns and trends in data, propose hypotheses, and use statistical techniques to test them.
• Data Literacy: Can identify relevant data sources, collect data, and use basic tools to interpret and report findings.
• Critical Thinking: Can analyse and interpret data to inform decision-making, and propose solutions based on logical reasoning.
• Attention to Detail: Can identify errors or inconsistencies in work and make necessary corrections.
• Communication: Can effectively communicate complex ideas and information, and can adapt communication style to the audience.
• Problem-Solving: Can identify problems, propose solutions, and take action to resolve them without explicit instructions.
• Technical Expertise: Can apply technical knowledge and skills effectively in most situations, with occasional guidance.
• Time Management: Can generally use time effectively and is working towards improving task prioritisation and deadline management.
• Continuous Improvement: Can identify moderate areas for improvement and implement moderate changes.
• 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 ML libraries (e.g. scikit-learn, TensorFlow, XGBoost).
• Experience with data visualization tools (Tableau, Power BI, or similar).
• Understanding of statistical methods, supervised/unsupervised learning, and business experimentation.
• Ability to interpret and communicate insights clearly to non-technical stakeholders.
• Comfortable working in a fast-paced, cross-functional environment with exposure to commercial decision-making.
• Exposure to pricing models, B2B enterprise sales, or SaaS/commercial optimization domains.
• Familiarity with CRM (e.g., Salesforce) or Q2C systems.
• Interest in finance, negotiation science, or behavioural economics.

Skills

Required

• Python or R
• SQL
• Statistical methods
• Supervised/unsupervised learning
• Business experimentation

Preferred

• Pricing models
• B2B enterprise sales
• SaaS/commercial optimization
• CRM (e.g., Salesforce)
• Q2C systems
• Finance
• Negotiation science
• Behavioural economics

Benefits

• The estimated annual pay range for this position is £45,000 - £50,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual.