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About the Role
We are seeking a Data Scientist to join our Growth Strategy & Deal Operations team. This role will focus on developing data models and decision intelligence tools to enhance pricing, deal governance, and commercial performance within SHI's enterprise business. It's an ideal opportunity for early-career professionals to apply machine learning and data science techniques to real-world business challenges.
Responsibilities
- 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
- 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
- Python
- R
- SQL
- Machine Learning Libraries (scikit-learn, TensorFlow, XGBoost)
- Data Visualization Tools (Tableau, Power BI)
- Statistical Methods
- Supervised Learning
- Unsupervised Learning
- Business Experimentation
- Analytical Thinking
- Data Analysis
- Data Literacy
- Critical Thinking
- Attention to Detail
- Communication
- Problem-Solving
- Technical Expertise
- Time Management
- Continuous Improvement
Experience Level
- Early-career professionals
- 2–4 years of experience
Salary/Compensations
- £45,000 - £50,000 (includes base salary and bonus)
Benefits
- Continuous professional growth and leadership opportunities.
- Health, wellness, and financial benefits.
- World-class facilities and technology.
About the Company
- Since 1989, SHI International Corp. has helped organizations change the world through technology.
- We are a $16 billion global provider of IT solutions and services.
- Over 17,000 organizations worldwide rely on SHI’s concierge approach.
- We are the largest minority- and woman-owned enterprise in the U.S.
Equal Opportunity
- 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 we are dedicated to providing a fair and accessible recruitment process.
- Equal Employment Opportunity – M/F/Disability/Protected Veteran Status