Data Science Co-op/Intern
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
About the Role
Join the Test Automation & AI Enablement (TAE) Team and help shape the future of intelligent engineering. Our team develops cutting-edge automation platforms, AI-powered tools, and data-driven solutions that enhance productivity, accelerate innovation, and solve real-world challenges. As a Data Science Co-op/Intern, you will gain hands-on experience working with modern AI technologies, collaborate with experienced engineers and data scientists, and contribute to the design, development, and evaluation of next-generation AI solutions. This is an exciting opportunity to apply your academic knowledge to impactful projects while building valuable skills for your future career in data science and artificial intelligence.
Key Skills for This Role
Full Job Posting
Responsibilities
- You will:
- Design, develop, and evaluate AI-powered applications leveraging Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), and intelligent workflow automation technologies.
- Collaborate with engineering teams to analyze workflows, identify automation opportunities, and translate business requirements into practical AI-driven solutions.
- Develop software applications, APIs, and automation tools using Python and AI-assisted development platforms such as Cursor AI and GitHub Copilot.
- Analyze engineering and operational data to generate reports, dashboards, visualizations, and actionable insights that support data-driven decision making.
- Participate in Agile development activities, design reviews, AI adoption initiatives, workshops, and knowledge-sharing sessions across global engineering teams.
- You will: - Design, develop, and evaluate AI-powered applications leveraging Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), and intelligent workflow automation technologies. - Collaborate with engineering teams to analyze workflows, identify automation opportunities, and translate business requirements into practical AI-driven solutions. - Develop software applications, APIs, and automation tools using Python and AI-assisted development platforms such as Cursor AI and GitHub Copilot. - Analyze engineering and operational data to generate reports, dashboards, visualizations, and actionable insights that support data-driven decision making. - Participate in Agile development activities, design reviews, AI adoption initiatives, workshops, and knowledge-sharing sessions across global engineering teams.
Qualifications
- You must have:
- Strong programming experience in Python and familiarity with software development, automation frameworks, APIs, and application design principles.
- Knowledge of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and agentic workflows.
- Experience using modern AI-assisted development tools such as Cursor AI, GitHub Copilot, or similar platforms to improve software development productivity.
- Understanding of data analytics, statistics, data modeling, and visualization techniques obtained through academic coursework, projects, or practical experience.
- Strong analytical, problem-solving, communication, collaboration, and continuous learning skills with a demonstrated interest in AI and automation technologies.
- Nice-to-Have Qualifications:
- Experience building AI-powered applications using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar technologies.
- Exposure to AI guardrails, LLM evaluation, observability, tracing, monitoring solutions, and AI application lifecycle management practices.
- Experience with enterprise application development, dashboards and visualization platforms (Grafana, Splunk, Power BI), Git-based development workflows, CI/CD pipelines, or participation in hackathons, research projects, or AI-related extracurricular activities.
- You must have: - Strong programming experience in Python and familiarity with software development, automation frameworks, APIs, and application design principles. - Knowledge of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and agentic workflows. - Experience using modern AI-assisted development tools such as Cursor AI, GitHub Copilot, or similar platforms to improve software development productivity. - Understanding of data analytics, statistics, data modeling, and visualization techniques obtained through academic coursework, projects, or practical experience. Strong analytical, problem-solving, communication, collaboration, and continuous learning skills with a demonstrated interest in AI and automation technologies. Nice-to-Have Qualifications: - Experience building AI-powered applications using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar technologies. - Exposure to AI guardrails, LLM evaluation, observability, tracing, monitoring solutions, and AI application lifecycle management practices. - Experience with enterprise application development, dashboards and visualization platforms (Grafana, Splunk, Power BI), Git-based development workflows, CI/CD pipelines, or participation in hackathons, research projects, or AI-related extracurricular activities.
About Nokia
Nokia is a Finnish multinational technology company specializing in telecommunications infrastructure, software, and licensing. It provides network equipment and services for mobile, fixed, and cloud networks to communications service providers and enterprises worldwide.
Visit company websiteJobs and hiring trendsApply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Nokia
Photonic Integrated Circuits (PIC) Production Test Manager
San Jose, USA
Embedded Software Development Coop
Sunnyvale, USA
Staff Manufacturing Integration Engineer
, USA
As a Staff Process Integration Engineer, you will be responsible for ensuring high-quality, stable production of InP-based Photonic Integrated Circuit (PIC) products. This role is hands-on and data-driven, focusing on pr
Optical Networks Market Growth Manager
, CAN
Supports business growth through market research, lead generation, and opportunity identification. Analyzes market trends, customer segments, and competitive insights to develop actionable recommendations, identify high-
Optical Networks Market Insights Manager
, CAN
Supports business leadership through the coordination and execution of strategic initiatives, customer engagements, industry events, leadership forums, and business reviews. Drives governance, action tracking, stakeholde
IT Business Relationship Partner
, USA
IT Advancement & Design (ITA) comprises further development of information technologies and IT platforms for business solutions and services. Covers driving of proactive needs analysis ensuring that business needs, deman
High-Speed Analog IC Design Engineer
Allentown, USA
Photonic Integrated Circuits (PIC) Production Test Manager
San Jose, USA
Embedded Software Development Coop
Sunnyvale, USA
Jr. Software Developer
Dallas, USA
Staff Manufacturing Integration Engineer
, USA
Optical Networks Market Growth Manager
, CAN
Optical Networks Market Insights Manager
, CAN
IT Business Relationship Partner
, USA