At a Glance
- Tasks: Design and develop advanced data science solutions for fuel pricing using AI and machine learning.
- Company: Kalibrate, a leader in data-driven insights for fuel pricing and location strategy.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team making a real impact in communities worldwide.
- Why this job: Join a team that empowers decision-making and drives economic growth through innovative data solutions.
- Qualifications: Strong background in data science, statistical analysis, and machine learning techniques.
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
Remote Data Scientist - Fuel Pricing (UK) in Stirling employer: Kalibrate
Kalibrate is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to make impactful contributions in the field of data science. With a strong focus on professional growth, we offer extensive training and development opportunities, ensuring our team members are equipped with the latest skills in statistical analysis and machine learning. Working remotely in the UK, you will be part of a global team dedicated to delivering valuable insights that drive economic growth and enhance community well-being.
