At a Glance
- Tasks: Design and develop advanced data science solutions for fuel pricing using cutting-edge techniques.
- Company: Kalibrate, a leader in data-driven insights for fuel pricing and location analytics.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team with global collaboration and excellent career advancement opportunities.
- Why this job: Make a real impact in the fuel industry while working with innovative technologies.
- Qualifications: Ph.D. or master's in a quantitative field with experience in data science solutions.
The predicted salary is between 50000 - 70000 £ per year.
Kalibrate exists to deliver the right insight, at the right time, to give organizations answers to their most challenging questions. We’re partners in growth. We serve decision makers across location and fuel pricing in markets all over the world — from high growth emerging concepts to the most established international operators. Our platforms and analytics solutions directly empower decision-making and provide clear financial value. These decisions help grow economies, create jobs, and improve the communities where we live, work, and play.
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.
Key responsibilities include:
- 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.
- Collaboration & Communication
- 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.
- Innovation & Continuous Learning
- 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
- Ph.D. or master's degree in a quantitative discipline.
- 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.
Remote Data Scientist - Fuel Pricing (UK) in Rochdale employer: Kalibrate
Kalibrate is an exceptional employer that fosters a culture of innovation and collaboration, empowering Data Scientists to make impactful contributions in the fuel pricing sector. With a strong emphasis on professional development, employees benefit from mentorship opportunities and access to cutting-edge tools and technologies, all while enjoying the flexibility of a remote work environment within the UK. The company's commitment to growth not only enhances individual careers but also drives positive change in the communities we serve.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Scientist - Fuel Pricing (UK) in Rochdale
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We think you need these skills to ace Remote Data Scientist - Fuel Pricing (UK) in Rochdale
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Kalibrate, 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.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Kalibrate. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Kalibrate
✨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!
✨Showcase Your Projects
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 Kalibrate!
✨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.
