Data Scientist (Trucking Safety)

TN United Kingdom; United Kingdom; On-site; GBP 40,000 - 70,000; Full time

Job summary

A leading AI tech startup is seeking a Data Scientist to uncover data-driven insights related to safety in the trucking industry. The role involves developing predictive models, analyzing driver behavior, and collaborating with various teams to enhance safety initiatives. Ideal candidates will have strong skills in Python or R, SQL, and experience in predictive modeling.

Benefits

Attractive salary & benefits

Flexible working options

Qualifications

• Strong proficiency in Python or R, SQL, and data visualization tools.
• Experience with predictive modeling, machine learning, and statistical analysis.
• Ability to communicate complex results to non-technical stakeholders.

Responsibilities

• Develop predictive models to identify drivers at risk of accidents.
• Analyze driver behavior and incident reports to uncover unsafe patterns.
• Collaborate with teams to turn insights into actionable improvements.

Skills

Python

R

SQL

Data Visualization

Predictive Modeling

Machine Learning

Statistical Analysis

Problem Solving

Tools

Tableau

Power BI

Job description

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Client:

Snaphunt

Location:

Job Category:

Other

EU work permit required:

Yes

Job Reference:

a9e19523a614

Job Views:

3

Posted:

21.05.2025

Expiry Date:

05.07.2025

Job Description:

The Offer

• Attractive salary & benefits
• Flexible working options

The Job

Our client is seeking a data-driven and detail-oriented Data Scientist to join our AI tech startup. In this role, you will focus on uncovering data-driven insights related to safety in the trucking industry.

Key Responsibilities:

• Develop predictive models to identify drivers who are at higher risk of accidents or moving violations.
• Analyze driver behavior, vehicle data, and incident reports to uncover patterns that contribute to unsafe driving.
• Evaluate the impact of safety initiatives (training, policy changes, technology deployment, etc.) on reducing incidents and improving compliance.
• Design experiments and apply statistical techniques to validate the effectiveness of safety programs.
• Collaborate with operations, compliance, and engineering teams to turn insights into actionable improvements.
• Present findings and recommendations to stakeholders through clear visualizations and reporting.

Why This Role Matters:

The candidate will run analysis to predict which drivers are likely to get into accidents and receive moving violations—proactively identifying risk before incidents happen. They will also assess how well our safety initiatives are reducing unsafe behaviors, helping to build a culture of safety across our operations.

The Profile

Qualifications:

• Strong proficiency in Python or R, SQL, and data visualization tools (e.g., Tableau, Power BI).
• Experience with predictive modeling, machine learning, and statistical analysis.
• Strong problem-solving skills and ability to communicate complex results to non-technical stakeholders.

Nice to Have:

• Knowledge of telematics, ELD (Electronic Logging Devices), or safety compliance systems.
• Prior experience working in the trucking, logistics, or transportation safety domain.

The Employer

Our client is a fast-growing trucking startup based in the US. You will be working in a high energy environment with a diverse pool of co-workers from all around the world.