Senior Decision Scientist

Senior Decision Scientist – Data Science Organization 

London - Hybrid (Onsite 2 / 3 days per week)

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. 

Please visit Fractal | Intelligence for Imagination for more information about Fractal 

Position Overview: 

We are seeking a highly analytical and business-savvy senior decision scientist, where you will play a pivotal role in shaping the future of our retail strategy. 
 
This is a techno-functional role that requires a unique blend of technical expertise, business acumen, and stakeholder management. You will work at the intersection of data science and business operations, partnering closely with sales leaders, retail account managers, product teams, and marketing strategists to uncover insights that drive performance across our retail channels. 
 
Your work will directly influence how we sell our next-generation wearable products—whether through physical retail stores, e-commerce platforms, or omnichannel experiences. You will be responsible to support the leadership to identify growth opportunities, optimize the sales funnel, and enabling leadership and make informed decisions based on robust data analysis. If you are passionate about using data to solve complex business problems and thrive in a fast-paced, collaborative environment, we’d love to hear from you. 

Key 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. 

Must-Have Skills: 

- Domain Knowledge: Understanding of retail operations, consumer sales, and omnichannel strategies. Familiarity with wearable tech products and their sales dynamics is a plus. 
- Technical Expertise: 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). 
- Business Acumen: Ability to connect data insights to business strategy and communicate recommendations effectively to non-technical stakeholders. 
- Communication Skills: Excellent written and verbal communication skills; ability to synthesize complex data into compelling narratives for executive audiences. 
- Collaboration: Experience working in cross-functional teams and managing multiple stakeholder relationships. 

Good to Have Skills: 

- 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.