AI Developer & Data Scientist IRC303081

GlobalLogic; Gothenburg (NE); On-site; USD 60,000 - 90,000; Full time

Benefits offered by this job

Diversity & inclusion

Career development

Comprehensive benefits

Relocation & rotation

Job summary

GlobalLogic seeks a student or recent graduate to support AI/ML analytics for an automotive telemetry tool. You’ll implement pipelines, clean data, and prototype interfaces under mentor guidance, turning logs into verification insights.

This entry-level role emphasizes learning, with hands-on Python work and exposure to ML concepts in a real-world automotive setting. You’ll collaborate with senior architects, contribute to PoCs, and grow within a supportive environment that values DE&I, career

Qualifications

• No professional experience required; strong student portfolio.
• Solid Python programming through coursework or projects.
• Basic ML concepts: time-series, clustering, NLP basics.
• Ability to parse and format raw CSV/text logs.
• Pursuing or recently completed BSc/MSc in CS/DS/EE/SE.

Responsibilities

• Develop and test data-processing pipelines for vehicle data.
• Clean and structure diagnostic logs and telemetry.
• Prototype analytical models (time-series, clustering, NLP prompts).
• Write clean Python code; build simple web interfaces or APIs.
• Collaborate with mentors and learn vehicle software systems.

Skills

Python

Portfolio projects

GitHub projects

Problem solving

Automotive curiosity

Education

BSc/ MSc in CS

Data Science

Electrical Engineering

Software Engineering

Job description

AI, Automotive, Data Engineer, Data Science, Machine Learning, Python

We are seeking an enthusiastic Student or Recent Graduate (AI Developer & Data Scientist) to support the development of our AI-based Measurement Analytics Tool. In this entry-level role, you will have the unique opportunity to apply your academic knowledge to real-world challenges, helping to build and refine a functional Proof of Concept (POC) that turns vehicle telemetry and diagnostic logs into software verification insights. Working under the direct mentorship of senior architects, you will help implement basic ML pipelines, data cleaning scripts, and prototype user interfaces. This role is highly learning-oriented, designed for individuals eager to grow their skills in a professional automotive data science environment.

#LI-OM1

#LI-Onsite

Requirements

• Experience Level: No professional experience required. Strong portfolio of academic coursework, university lab projects, github repositories, hackathons, or personal projects demonstrating hands-on Python development.
• Core Technical Stack: Solid foundational programming skills in Python, with exposure to standard libraries through coursework or projects.
• Basic ML Concepts: Academic exposure to machine learning fundamentals, such as time-series analysis, clustering algorithms, or introductory Natural Language Processing (NLP).
• Data Manipulation: Ability to write scripts to parse, filter, and format raw files (like CSVs or text logs).
• Aptitude & Passion: High curiosity, strong problem-solving skills, and a keen interest in learning vehicle systems, automotive protocols (e.g., CAN, LIN), or diagnostic logs.
• Education: Currently pursuing or recently completed a Bachelor’s (B.Sc.) or Master’s (M.Sc.) degree in Computer Science, Data Science, Electrical/Software Engineering, or a related quantitative field.

Job responsibilities

• AI/ML Pipeline & Development Support: Assist with the development, testing, and documentation of data-processing pipelines and machine learning components optimized for vehicle datasets.
• Data Cleaning & Exploratory Analysis: Help inspect, clean, and structure text-based diagnostic logs and numerical telemetry streams (such as bus logs and sensor measurements) for analysis.
• Model Testing & Prototyping: Support the implementation and testing of baseline analytical models (including time-series classification, clustering, or prompt engineering for basic NLP/LLM assistants).
• UI Prototyping & Coding: Write clean, readable, and well-documented Python code. Assist in building simple web interfaces or APIs to help package these analytical tools.
• Technical Collaboration & Learning: Actively participate in team syncs, gather engineering requirements under guidance, and learn the fundamentals of vehicle software systems from domain experts.

What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.