At a Glance
- Tasks: Create impactful data science solutions for consumer goods and retail sectors.
- Company: Fast-growing start-up with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Join a tight-knit team where your ideas can shape the future.
- Why this job: Make a real difference by solving real-world challenges with cutting-edge AI technology.
- Qualifications: Experience in data science, preferably in supply chain or retail, with strong communication skills.
The predicted salary is between 36000 - 60000 £ per year.
A fast-growing start-up consisting of 20+ brilliant consultants, laser-focused on transforming the consumer goods and retail sectors through the power of data science and analytics. Their mission is to help clients save time, cut costs, and make smarter decisions by delivering proprietary, highly scalable solutions that actually get used.
Here, you won’t just be tinkering with "nice-to-have" proof of concepts. You’ll be creating real, high-impact solutions that are deployed, scaled, and celebrated for the tangible value they deliver. We thrive on entrepreneurial spirit, encouraging every team member to harness their innovation and creativity. With state-of-the-art AI at your fingertips, you’ll have the freedom and tools to bring bold ideas to life.
If you’re excited by the thought of working in a tight-knit, ambitious team where your work matters, your voice counts, and your ideas can shape the future, we would love to meet you.
The Role
You’ll be at the cutting edge of solving real-world challenges in the consumer goods and retail sectors - from tackling food waste reduction to optimising promotions and markdowns - all through the power of probabilistic machine learning. You’ll collaborate closely with client technical teams and your fellow consultants to design, build, and deploy solutions that make a measurable impact.
What You’ll Be Doing
- Shaping solutions from the ground up - running interactive client workshops to uncover pain points, understand requirements, and design impactful solutions.
- Engineering smart architectures - aligning solution designs with client technical teams to ensure smooth integration and long-term scalability.
- Building intelligent pipelines - creating model pipelines for training ML models, hosting them on client cloud platforms, and setting up performance monitoring for continuous improvement.
- Bringing AI to life for users - integrating front-ends with transformed data and ML outputs, running structured tests, and ensuring a high-quality experience for end users.
- Customising and innovating - working with front-end developers to adapt Python or Power BI interfaces to user needs and feedback.
- Inventing what’s next - spotting new opportunities beyond the current scope, developing innovative ideas, and building greenfield solutions from concept to MVP.
If you love combining deep technical work with creative problem solving, enjoy working directly with clients, and want to see your work deliver real, measurable results, this is your stage.
The Candidate
- Several years of data science expertise, ideally within the supply chain domain.
- A background in consulting and/or working within the CPG/retail industries.
- Knowledge of Bayesian statistics, but broader ML experience, e.g. time series modelling and forecasting will be considered.
- Strong communication skills, with the ability to distil and translate complex concepts into simple and actionable insights for stakeholders.
- An excellent academic profile in a quantitative subject.
Senior Data Science Consultant employer: Metrica Recruitment
Join a dynamic start-up where your contributions as a Senior Data Science Consultant will directly influence the consumer goods and retail sectors. With a culture that champions innovation and collaboration, you'll have access to cutting-edge AI tools and the opportunity to work alongside a talented team dedicated to delivering impactful solutions. Here, your ideas are valued, and you'll find ample opportunities for professional growth in an environment that celebrates creativity and entrepreneurial spirit.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Science Consultant
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni from your university who work in data science or consulting. A friendly chat can give you insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for those interviews by practising common data science scenarios. Think about how you'd tackle real-world problems, especially in consumer goods and retail. Show them you can think on your feet and bring innovative solutions to the table!
✨Tip Number 3
Don’t just wait for job postings! Be proactive and reach out directly through our website. Express your interest in the role and share how your skills align with their mission. It shows initiative and enthusiasm!
✨Tip Number 4
Showcase your projects! Whether it's a GitHub repo or a portfolio, highlight your data science projects that have made an impact. This is your chance to demonstrate your creativity and problem-solving skills in action!
We think you need these skills to ace Senior Data Science Consultant
Some tips for your application 🫡
Show Your Passion for Data Science:When writing your application, let your enthusiasm for data science shine through! We want to see how excited you are about transforming the consumer goods and retail sectors. Share specific examples of projects or experiences that fuelled your passion.
Tailor Your Application:Make sure to customise your CV and cover letter to highlight relevant experience in the supply chain domain and consulting. We love seeing how your skills align with our mission to deliver impactful solutions, so don’t hold back on showcasing your achievements!
Keep It Clear and Concise:We appreciate clarity! Use straightforward language and avoid jargon where possible. Remember, we’re looking for someone who can distil complex concepts into simple insights, so demonstrate this skill right from your application.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our tight-knit team!
How to prepare for a job interview at Metrica Recruitment
✨Know Your Data Science Stuff
Make sure you brush up on your data science knowledge, especially in Bayesian statistics and machine learning. Be ready to discuss your past projects and how you've applied these concepts in real-world scenarios, particularly in the consumer goods or retail sectors.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous roles. Think about how you can demonstrate your ability to create impactful solutions that have been deployed and celebrated, as this aligns perfectly with what the company values.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex data science concepts in simple terms, as you'll need to distil insights for clients and stakeholders. Consider doing mock interviews with friends to refine your delivery.
✨Embrace Innovation
The company thrives on creativity and innovation, so come prepared with ideas! Think about potential new opportunities or solutions you could propose during the interview. This shows your entrepreneurial spirit and willingness to contribute to the team's success.
