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Staff Data Analyst

ivee | The return-to-work platform

London

Hybrid

GBP 60,000 - 85,000

Full time

2 days ago

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Job summary

A leading autonomous driving technology company is seeking an experienced ODD & Behavioural Competency Analyst to enhance their operations. The role involves defining ODDs, analyzing traffic patterns, and optimizing data collection for autonomous vehicle models. Candidates should have 7+ years in relevant fields and proficiency in data analysis tools. This position offers a hybrid working model and opportunities for continuous learning.

Benefits

Hybrid working model offering flexibility

Access to continuous learning and development opportunities

Qualifications

7+ years of experience in systems engineering, transportation analysis, or data science.
Proven experience with AV/ADAS technologies.
Familiarity with traffic regulations and human driving behaviours.

Responsibilities

Define and analyze Operational Design Domains (ODDs) for autonomous driving.
Collaborate with legal, safety, and product teams.
Use statistical models to identify data gaps impacting performance.

Skills

Traffic system modeling

Data analysis

Problem-solving

Communication

Education

Bachelor's degree in a related field

Tools

Python

SQL

GIS

Jupyter

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Job Description:

We are looking for an experienced ODD & Behavioural Competency Analyst to join a leading autonomous driving technology company. You will play a key role in defining Operational Design Domains (ODDs), analyzing traffic patterns, and optimizing data collection for autonomous vehicle (AV) models.

What you’ll do:

Define and analyze Operational Design Domains (ODDs) for autonomous driving across multiple regions.
Identify ODD boundaries, edge conditions, and failure triggers for safe system design.
Build and maintain a taxonomy of behavioural competencies required for safe driving.
Quantify and prioritize ODD parameters and competencies to guide data collection.
Recommend data slices required for safe, predictable system performance in new markets.
Analyze local traffic laws, driving behaviours, and regulatory requirements.
Collaborate with legal, safety, data engineering, simulation, and product teams.
Provide insights to scenario library development, synthetic data generation, and test case prioritization.
Use statistical models to identify data gaps impacting Mean Time Between Failures (MTBF).
Guide teams on additional data needed to achieve MTBF targets in each ODD.

Your superpowers:

7+ years of experience in systems engineering, transportation analysis, data science, or a related field.
Proven experience with traffic system modeling, AV/ADAS technologies, or urban mobility analysis.
Familiarity with traffic regulations and human driving behaviours across regions.
Proficiency in data analysis tools (Python, SQL, GIS, Jupyter).
Ability to visualize ODD and scenario coverage metrics.
Strong problem-solving skills and an execution-focused mindset.
Experience working cross-functionally with technical and non-technical teams.
Excellent communication skills, with the ability to translate analysis into actionable insights.
Be part of a cutting-edge company pioneering autonomous driving technology.
Collaborate with a diverse, cross-functional team.
Hybrid working model offering flexibility.
Opportunity to shape the future of transportation with advanced data strategies.
Access to continuous learning and development opportunities.

Please press apply to access the full job description and apply for this role.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Science
Industries
Motor Vehicle Manufacturing

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