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About the Role
We are seeking a highly analytical and business-savvy senior decision scientist to play a pivotal role in shaping the future of our retail strategy. This is a techno-functional role requiring technical expertise, business acumen, and stakeholder management, working at the intersection of data science and business operations to uncover insights that drive performance across retail channels and influence how we sell next-generation wearable products.
Responsibilities
- Translate complex data into clear, actionable insights and present findings to senior leadership.
- Build and maintain dashboards and reporting tools to track KPIs and provide real-time visibility into sales performance.
- Apply quantitative analysis and visualization to uncover insights across the retail sales funnel.
- Collaborate with cross-functional teams including sales, retail operations, marketing, and product to define high-impact use cases and support data-driven decision-making.
- Analyze retail performance metrics, including store-level sales, conversion rates, inventory turnover, and customer segmentation.
- Identify and evaluate growth levers such as pricing strategies, promotional effectiveness, and channel performance.
- Drive continuous improvement in analytics processes through automation, tooling enhancements, and best practices.
Requirements
- Proficiency in AI tools, SQL and Python for data analysis and build automations.
- Experience with relational databases and statistical methods (e.g., hypothesis testing, forecasting, causal inference).
- Ability to connect data insights to business strategy and communicate recommendations effectively to non-technical stakeholders.
- Excellent written and verbal communication skills; ability to synthesize complex data into compelling narratives for executive audiences.
- Experience working in cross-functional teams and managing multiple stakeholder relationships.
- Understanding of supply chain analytics and inventory optimization.
- Exposure to machine learning models for sales forecasting or customer segmentation.
- Experience working in fast-paced, high-growth environments or with consumer electronics.
Skills
- Retail operations
- Consumer sales
- Omnichannel strategies
- Wearable tech products sales dynamics
- AI tools
- SQL
- Python
- Data analysis
- Automation
- Relational databases
- Statistical methods
- Hypothesis testing
- Forecasting
- Causal inference
- Business strategy
- Communication
- Collaboration
- Supply chain analytics
- Inventory optimization
- Machine learning models
- Sales forecasting
- Customer segmentation
Location
- London
Work Type
- Hybrid
- Onsite 2 / 3 days per week
Experience Level
- Senior
About the Company
- Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise.
- Fractal is building a world where individual choices, freedom, and diversity are the greatest assets.
- An ecosystem where human imagination is at the heart of every decision.
- Where no possibility is written off, only challenged to get better.
- We believe that a true Fractalite is the one who empowers imagination with intelligence.
- Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.