Data Scientist

Are you ready to help revolutionise transport and join the UK’s largest Digital Freight Business? Our Future is digital, and Our Future is NOW! This is your opportunity to join our incredible team and help transform the way the transport industry works.

Nine times out of ten when you see a heavy-duty vehicle they are not at full capacity. When heavy-duty vehicles are not at full capacity, they throw unnecessary CO₂ into the atmosphere. Our platform creates a Digital Network that enables loads to be delivered more efficiently, at a better price and with greater quality than ever before. We want our Hauliers and Customers to benefit from using our extensive network to help them fill their empty capacity and reduce their carbon footprint.

DigiHaul brings together smart technology and expert knowledge, we make end-to-end logistics seamless and stress-free. Our daily mission is to provide our Hauliers and Customers with nothing but excellent service and solutions, including excellent on time performance and an end-to-end managed service with un-paralleled visibility every step of the way. We’re driven and determined to deliver a fast, flexible, and reliable solution that makes road freight work better – for everyone.

About you

You are someone who enjoys a fast paced, dynamic work environment, who excels in quick problem solving and likes to get the job done!

You are able to work tactically and think strategically as the business rapidly scales. You understand how integral you are to the success and future of DigiHaul and the part you play in transforming the transport industry.

Main responsibilities:

• Manage a dedicated portfolio of work, adhering to best practices for data model architecture and development processes.
• Lead the end-to-end data science project lifecycle, encompassing problem identification, development of machine learning or analytical solutions, implementation and roll-out as well as deployment and maintenance.
• Deploy predictive and prescriptive algorithms at scale to optimise processes and resources utilisation.
• Ensure the data integrity, accuracy, and efficacy of data models.
• Serve as a bridge between business and technology by effectively communicating sophisticated data science concepts through simple and clear visualisation.

What do you need?

Required skills:

• 3~5 years of hands-on experience in applying advanced analytics or data science skills at scale.
• MSc or PhD level education in STEM subjects such as computer science, engineering, or a related field.
• Proficiency in Python or R, as well as experience with SQL queries.
• Solid understanding of modern machine learning techniques and their mathematical underpinnings, translating them into actionable business insights.
• Proven track record in project management skills, ensuring timely and successful project delivery.
• Ability to interpret and convey technical topics and key insights across diverse stakeholders, both technical and non-technical.

Preferred skills:

• Proven ability to drive initiatives and deliver commercial impact within the transportation industry.
• Previous experience in leading a growing data science team in a scale up company.
• Prior commercial exposure to Microsoft Azure.

What will you get in return?

You will receive access to a variety of our excellent benefits which in addition to an attractive salary include:

• 33 days holiday
• 15% non-contractual bonus
• Access to pension scheme plans
• Access to private medical cover
• Access to Employee Benefit Portal including retail discounts
• Access to Cycle to Work scheme
• Access to Employee Assistance Programme
• Access to Electric Vehicle Salary Sacrifice lease scheme
• Training, development opportunities and more

What you will need to do next?

Joining the DigiHaul family is easy! If you feel that you meet the criteria, have the passion to succeed simply apply online, uploading an up to date CV with your application.

We will ensure that all our resourcing activities are fair, transparent and consistent across the UK. We want to ensure that the candidate experience is of the highest professional standard.

The Company is committed to providing equality of opportunity for all employees. Furthermore we aim to ensure our workplaces are free from discrimination and that not only employees but also our potential future employees are treated fairly and with dignity and respect. We will ensure that equality of opportunity maintains a high profile in our organisation.