At a Glance
- Tasks: Transform complex data into actionable insights and drive retail strategy.
- Company: Fractal, a leading AI partner for Fortune 500 companies.
- Benefits: Hybrid work model, collaborative culture, and opportunities for growth.
- Other info: Join a dynamic team focused on innovation and empowering decisions.
- Why this job: Make a real impact on retail strategies using cutting-edge data analysis.
- Qualifications: Strong analytical skills, proficiency in SQL and Python, and retail knowledge.
The predicted salary is between 47250 - 57750 £ per year.
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
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.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
At Fractal, towards our goal of "powering every human decision in the enterprise", our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value.
We partner with companies from around the globe, leaders in their respective fields.
With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems in the business world.
We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value.
Together with our partners, our goal is to serve each client in their end-to-end data-to-decision journey.
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Senior Decision Scientist employer: Fractal Analytics Inc.
Fractal is an excellent employer that fosters a culture of innovation and collaboration, making it an ideal place for a Strategic Portfolio Test Manager to thrive. With a strong emphasis on employee growth, we offer comprehensive training and development opportunities, ensuring our team members are equipped to excel in their roles. Located in a dynamic environment, we provide unique advantages such as flexible working arrangements and a commitment to work-life balance, making your career with us both meaningful and rewarding.
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We think you need these skills to ace Senior Decision Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Fractal Analytics Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at Fractal Analytics Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Fractal Analytics Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
