Job Summary
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.
Role Description
- 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 such as 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 behaviour.
- 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.
Behaviors and Competencies
- 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.
Skill Level 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 ML libraries (e.g. scikit‑learn, TensorFlow, XGBoost).
- Experience with data visualization tools such as 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.
Other Requirements
- Exposure to pricing models, B2B enterprise sales, or SaaS/commercial optimisation domains.
- Familiarity with CRM (e.g., Salesforce) or Q2C systems.
- Interest in finance, negotiation science, or behavioural economics.
Compensation
The estimated annual pay range for this position is £45,000 – £60,000, which includes a base salary and bonus. The compensation is dependent on job‑related knowledge, skills, experience, and market location and therefore may vary from individual to individual.
Equal Employment Opportunity Statement
SHI UK is an equal‑opportunity employer and does not discriminate on the basis of race, religion, gender, sexual orientation, national origin, age, disability, or any other legally protected status. We encourage applications from all qualified candidates and are dedicated to providing a fair and accessible recruitment process.
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