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- Tasks: Transform data into actionable strategies using machine learning and analytics.
- Company: Retail Insight, a leader in retail analytics and decision science.
- Benefits: Competitive salary, generous PTO, hybrid work, and wellness support.
- Why this job: Make a real impact by helping top retailers improve their performance.
- Qualifications: Experience in machine learning, programming, and analytics within a STEM background.
- Other info: Flexible working environment with excellent career growth opportunities.
The predicted salary is between 72000 - 82000 £ per year.
Turn Data into Action with Retail Insight. At Retail Insight (RI), we transform data into actionable strategies, empowering retailers and CPGs to make smarter decisions. Our cutting-edge algorithms and innovative retail execution products are trusted by many of the world's leading companies to improve sales, profitability, and operational efficiency. From tackling out-of-stocks and poor in-store execution to reducing waste, markdowns, and shrink, RI helps businesses unlock performance drivers through advanced analytics.
About the role: Our Decision Science teams focus on delivering immediate positive impact to our clients using the latest machine learning and data analytics techniques. We partner with international clients to develop and implement our products. We are now looking for a talented Decision Scientist, responsible for building Machine Learning models to support our products, including:
- Design algorithms using relevant statistical and machine learning techniques.
- Define the quantitative elements of projects for internal R&D and external clients, primarily success criteria.
- Contribute to the design, implementation, and testing of our products.
- Communicate with stakeholders at various levels in both technical and non-technical language.
- Maintain a continuous improvement mindset, with attention to detail and pride in your work.
- Write high-quality, well-documented code.
- Have proven experience working on analytics projects within a STEM background.
- Adopt a pragmatic approach to deadlines, focusing on deliverables.
- Possess practical programming experience, ideally using Python, R, etc.
- Apply knowledge of Machine Learning, Data Science, and Statistical techniques.
- Present results and proposals to cross-functional teams.
- Be familiar with cloud computing tools, ideally Azure.
Nice to haves:
- Experience in a retail background is beneficial.
- Keen on continuous technical development, data analytics trends, and tools.
Some of our extras: We believe in flexibility, growth, and taking care of our people—both in and out of the office.
Compensation: The salary range for this role is $95,000 - $110,000 plus great benefits.
Hybrid & Flexible Working: Work from anywhere with 2 days in-office per week, plus summer hours and extra days off for life's big moments.
Generous Time Off: 26 days PTO (increasing with service), paid volunteer days, and full support for wellbeing, including mental health resources.
Career & Learning: Access to top-tier learning platforms, career progression plans, and support for home workspace setup.
Health & Financial Benefits: Comprehensive medical, dental, and vision coverage, plus a 6% matched retirement plan.
Personal Perks: Annual phone reimbursement, onsite gym access, and customizable benefits via our online platform.
Our interview process typically involves 3 stages:
- Initial Call with the Recruiter
- Meet the Hiring Manager
- Skills Assessment with the team
Our average process takes around 3-4 weeks but we will work around your availability. You will have the chance to speak with our recruiter at various points, but if you have any questions, please contact us.
Be your authentic self - Retail Insight is committed to promoting equal opportunities in employment. All employees and job applicants will receive equal treatment. We seek to create an environment where everyone feels respected, supported, and encouraged to contribute their best work.
About Us: We're a unique blend of retail expertise from extensive industry experience, mathematical talent that builds and maintains sophisticated algorithms, and engineering skill that handles vast data volumes. We combine leading-edge technology with innovative thinking to help you tackle operational challenges and maximize retail potential. We focus on factors that drive sales and profit, minimize waste and loss, and increase operational efficiency. The result: dynamic solutions that provide actionable insights and rapid time to value. Our values underpin everything we do at Retail Insight. They drive us, define us, and shape our decision-making. They are also why the world's largest retailers and CPGs find working with us so easy.
Decision Scientist II in London employer: Retail Insight Limited
Contact Detail:
Retail Insight Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Decision Scientist II in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and analytics projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for Decision Scientists and practice your responses. Be ready to discuss your past projects and how you’ve used data to drive decisions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Retail Insight.
We think you need these skills to ace Decision Scientist II in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Decision Scientist II role. Highlight your experience with machine learning and data analytics, and show how your skills align with our mission at Retail Insight.
Showcase Your Technical Skills: We want to see your programming prowess! Include examples of your work with Python or R, and any relevant projects that demonstrate your ability to design algorithms and build models. Don’t forget to mention your familiarity with cloud computing tools like Azure!
Communicate Clearly: When writing your application, keep in mind that we value clear communication. Use both technical and non-technical language where appropriate, as you’ll need to engage with stakeholders at various levels once you join us.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining the Retail Insight team!
How to prepare for a job interview at Retail Insight Limited
✨Know Your Algorithms
Brush up on your knowledge of machine learning algorithms and statistical techniques. Be ready to discuss how you've applied these in past projects, especially in a retail context. This will show that you can turn data into actionable insights, which is key for the role.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to communicate with stakeholders at various levels, so being able to articulate your ideas clearly will set you apart. Consider preparing examples where you’ve successfully done this before.
✨Show Your Coding Skills
Be prepared to showcase your programming experience, particularly in Python or R. Bring along examples of well-documented code you've written, and be ready to discuss your coding process and any challenges you faced while developing your models.
✨Embrace Continuous Improvement
Demonstrate your commitment to continuous learning and improvement. Share any recent courses or certifications you've completed related to data analytics or machine learning. This shows that you're proactive and keen to stay updated with industry trends, which aligns with their values.
