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- Tasks: Design and develop advanced data science solutions for fuel pricing using AI and machine learning.
- Company: Join a leading tech company focused on innovative data science solutions.
- Benefits: Remote work, competitive salary, mentorship opportunities, and career growth.
- Other info: Flexible working hours and opportunities to travel for meetings and events.
- Why this job: Make an impact in the fuel industry while working with cutting-edge technology.
- Qualifications: Experience in data science, strong communication skills, and team collaboration.
The predicted salary is between 50000 - 70000 £ per year.
Role Reporting to the Director of Data Science Research, the Data Scientist is a highly skilled individual contributor responsible for designing, developing, and deploying advanced data science solutions across Kalibrate's product portfolio. This role focuses in particular on our pricing product suite, applying leading statistical, machine learning, and AI techniques to deliver innovative solutions for fuel pricing while contributing to the technical excellence of the Data Science Research team.
Data Science Solution Development & Delivery
- Apply statistical and econometric modeling, time series analysis, optimization methods, and generative AI to develop improved approaches to demand modeling, elasticity estimation, price recommendation, competition analytics, and related challenges.
- Develop reusable tools, frameworks, and components to support and accelerate delivery of value from data science.
- Deploy scalable and maintainable solutions to cloud environments, leveraging version control practices and robust code quality and documentation standards.
- Work independently and as part of the Data Science Research team, contributing to research prioritisation and technical direction in collaboration with the Director and Product leadership.
Technical Excellence & Mentorship
- Demonstrate technical excellence by delivering high-quality, innovative solutions and championing best practices to ensure research outputs are reproducible, scalable, and maintainable.
- Contribute to evaluation and adoption of appropriate tools, programming languages, and technologies.
- Mentor junior team members, sharing knowledge and supporting their professional development.
- Identify and contribute to patent opportunities and the company's intellectual property portfolio.
- Collaborate across Development, Product, Analytics, and Commercial teams to ensure solutions address business challenges and stakeholder objectives.
- Partner with operational teams to ensure data pipelines and infrastructure are robust, secure, and optimized for research and production workloads.
- Communicate technical concepts and outcomes effectively to both technical and non-technical audiences.
- Stay current with developments in data science, machine learning, and AI, applying state-of-the-art techniques to project work.
- Develop comprehensive knowledge of the retail fuel industry to understand domain challenges and help guide product innovation.
- Share knowledge and promote best practices across the team and company.
Qualifications & Profile
- Demonstrated track record of designing, developing, and deploying data science and machine learning solutions in commercial environments.
- Expertise in statistical or econometric modeling and optimization techniques.
- Proven ability to independently manage complex projects under tight deadlines while maintaining high standards of quality and reliability.
- Strong written and verbal communication skills for both technical and non-technical audiences.
- Cross-functional team collaboration experience with product, engineering, and business stakeholders.
- Experience in pricing data science is desirable, particularly within the fuel or retail sectors.
Technical Skills & Experience
- Advanced proficiency in Python and/or R for data science development.
- Proficiency in SQL for data extraction, transformation, and analysis.
- Experience with version control (Git) and modern software engineering practices including code review and collaborative development.
- Familiarity with using generative AI tools such as Github Copilot to support development and enhance productivity.
- Knowledge of solution deployment with cloud platforms (preferably Azure), including containerization (Docker) and CI/CD pipelines is desirable.
Location & Travel
This is a remote role within the UK. Travel to our offices in Manchester city centre, or client and partner locations, may be required for meetings and events. The Data Science Research team operates across multiple time zones globally, so working hours may occasionally need to flex to accommodate necessary collaboration with international colleagues.
Data Scientist - Fuel Pricing (UK) in Manchester employer: Kalibrate
Contact Detail:
Kalibrate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Fuel Pricing (UK) in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with professionals 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 data science projects, especially those related to pricing or fuel analytics. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common data science questions. Be ready to discuss your past projects and how you tackled challenges, especially in pricing models.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist - Fuel Pricing (UK) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Scientist in Fuel Pricing. Highlight your experience with statistical modelling, machine learning, and any relevant projects that showcase your skills in pricing data science.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about fuel pricing and how your background aligns with our mission at StudySmarter. Don’t forget to mention any specific tools or techniques you’ve used that relate to the job.
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to include your proficiency in Python, R, SQL, and any experience with cloud platforms like Azure. Mention any projects where you've applied these skills to solve real-world problems.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Kalibrate
✨Know Your Data Science Stuff
Make sure you brush up on your statistical and econometric modelling techniques. Be ready to discuss how you've applied machine learning and AI in past projects, especially in pricing or retail contexts. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Show Off Your Coding Skills
Since this role requires advanced proficiency in Python and/or R, be prepared to demonstrate your coding abilities. You might even be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarity with SQL and version control practices like Git will also give you an edge.
✨Communicate Like a Pro
You’ll need to explain complex technical concepts to both technical and non-technical audiences. Practice articulating your thoughts clearly and concisely. Think about how you can convey your past experiences in a way that highlights your impact and contributions.
✨Understand the Fuel Industry
Having a solid grasp of the retail fuel industry will set you apart. Research current trends, challenges, and innovations in fuel pricing. This knowledge will not only help you answer questions but also show your genuine interest in the role and the company’s mission.