At a Glance
- Tasks: Leverage data insights to optimise supply chain processes and drive business results.
- Company: Join Blue Yonder, a leader in AI-driven supply chain solutions.
- Benefits: Competitive salary, permanent contract, and strong investment in your skills development.
- Other info: Work remotely while collaborating with prestigious global companies.
- Why this job: Make a real impact with top international experts in a dynamic environment.
- Qualifications: 5+ years in data science or supply chain analytics; proficiency in Python, R, SQL.
The predicted salary is between 36000 - 60000 £ per year.
About Blue Yonder
Blue Yonder is a leading SaaS and AI-driven Global Supply Chain Solutions software product company. Our solutions are used by:
- 81 of the global STORES Top 100 Retailers
- 79 of the global Consumer Goods Registry Top 100
- 20 of the Gartner Supply Chain Top 25
Blue Yonder employs over 5500 of the industry’s most experienced demand and supply chain experts globally to develop, deliver and support its solutions. We continue to grow a team of the most advanced Supply Chain experts. Members of this team participate in on-site consulting and business software implementation projects for the largest and most advanced Retail, Manufacturing, and Distribution companies across Europe. Our consultants create the future standards of their core business processes.
Job Summary
We are seeking a highly skilled and motivated Data Science Consultant to join our Supply Chain Planning team. The ideal candidate will leverage data-driven insights to optimize supply chain processes, improve decision-making, and drive business results. You will work closely with cross-functional teams, utilizing advanced data analytics, machine learning, and optimization techniques to enhance supply chain efficiency, forecast demand, and solve complex operational challenges.
Key Responsibilities
- Data Analysis & Modeling: Analyze large, complex data sets related to demand forecasting, supply planning to uncover actionable insights.
- Machine Learning: Apply statistical and machine learning techniques to forecast demand, including data ingestion, data visualization and insights, verifying the integrity of data used for analysis, feature engineering, configuring forecasting models, fine-tune forecasting model. Present results in a clear manner to external customers.
- Supply Chain Optimization: Implement optimization algorithms to improve supply chain efficiency, reduce costs, and enhance service levels.
- Consulting & Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising stakeholders on best practices, tools, and strategies for effective supply chain management.
- Process Improvement: Identify inefficiencies within the supply chain and recommend data-driven strategies for continuous improvement.
Technical Expertise & Contributions
- Desirable to have a background in statistical analysis or forecasting.
- Desirable to have Retail supply and demand forecasting experience.
- Ensure high-quality deliverables and best practices.
- Build relationships and support business development.
- Stay up-to-date on ML and Data Engineering trends to continue advancing in your role.
Knowledge and skills we are looking for
- Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain Management, or a related field.
- Experience: 5+ years of experience in data science or Supply Chain Operations Analytics, or worked on forecasting projects leveraging statistical/ML models; experience with data visualization tools.
- Technical Skills: Proficiency in Python, R, SQL, and experience with supply chain management platforms/processes. Good applied statistics skills (distributions, statistical testing, regression, etc.).
- Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression, classification, clustering) and optimization models.
- Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory management, procurement, logistics, and distribution.
- Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and translate insights into actionable recommendations.
Personal profile we are looking for
- Interpersonal and communication skills, with a focus on influencing and inspiring.
- Excellent problem-solving skills.
- Organized, self-motivated, and able to manage multiple priorities independently.
- Passion for continuous learning and team development.
- Fluent in English (German or French is a plus).
- Eligible to live and work in the EU.
- Pragmatism: we won’t always have the perfect solution, but we focus on finding the most practical alternative.
Blue Yonder Offers
- Highly professional environment of top international industry experts.
- Chance to deal with best-in-class supply chain solutions and work on-site with the most prestigious and advanced companies in the world.
- Strong investment in employee skills development.
- Excellent development and further growth opportunities.
- Clear independence and empowerment.
- Permanent job contract.
- Competitive salary and benefits package, aligned with your skills and expertise.
Our Values
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers.
Data Science Consultant - Remote in Bracknell employer: Blue Yonder
Blue Yonder is an exceptional employer, offering a highly professional environment where top international industry experts collaborate to deliver best-in-class supply chain solutions. With a strong commitment to employee development and empowerment, team members enjoy excellent growth opportunities and the chance to work with prestigious companies across Europe, all while benefiting from a competitive salary and comprehensive benefits package.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Consultant - Remote in Bracknell
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend webinars, and join relevant groups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your problem-solving skills. Use real-life examples from your experience to demonstrate how you've tackled challenges in data science and supply chain.
✨Tip Number 3
Don’t just apply; engage! When you submit your application through our website, follow up with a friendly email expressing your enthusiasm for the role. It shows initiative and keeps you on their radar.
✨Tip Number 4
Stay updated on industry trends and tools. Being knowledgeable about the latest in machine learning and supply chain management will not only help you in interviews but also make you a more attractive candidate.
We think you need these skills to ace Data Science Consultant - Remote in Bracknell
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Science Consultant role. Highlight relevant experience in data analysis, machine learning, and supply chain processes. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about supply chain analytics and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise! Mention your proficiency in Python, R, SQL, and any experience with machine learning techniques. We’re keen on seeing how you can leverage these skills in real-world scenarios.
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. Plus, it shows us you’re serious about joining our awesome team at Blue Yonder!
How to prepare for a job interview at Blue Yonder
✨Know Your Data
Before the interview, dive deep into data analysis techniques and machine learning algorithms relevant to supply chain processes. Be prepared to discuss specific projects where you've applied these skills, as this will show your expertise and understanding of the role.
✨Showcase Your Problem-Solving Skills
Think of examples where you've identified inefficiencies in a supply chain and how you addressed them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to see your thought process and impact.
✨Communicate Clearly
As a Data Science Consultant, you'll need to present complex data insights to stakeholders. Practice explaining your past projects in simple terms, focusing on the results and how they benefited the business. This will demonstrate your ability to influence and inspire others.
✨Stay Current with Trends
Familiarise yourself with the latest trends in machine learning and data engineering. Mention any recent developments or tools you've explored during the interview, showing your passion for continuous learning and commitment to staying ahead in the field.
