Jr. Software Dev. Data Science
Nokia
Data Science
United States
Posted on Nov 11, 2025
As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.
You will be part of the P&E (Product & Engineering) Team within the Cloud and Network Services (CNS) Division of Nokia. This team works on several products with the 3GPP Packet Core and on other automation enablement technologies.
Come invent the future with us in 5G/6G by creating cutting edge gen-AI models with us, and be part of a diverse, multi-site world-class R&D Team.
About Nokia
Join us in creating the technology that helps the world act together.
We are a B2B technology innovation leader, pioneering networks that sense, think and act™, putting the world’s people, machines and devices in sync to create a more sustainable, productive and accessible future.
About the Business Group
In Cloud and Network Services, as Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.
Our recruitment process
We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.
If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.
Some of our benefits in US:
- Corporate Retirement Savings Plan
- Health and dental benefits
- Short-term disability, and long-term disability
- Life insurance, and AD&D – Company paid 2x base pay
- Optional or Supplemental life and AD&D insurance (Employee/Spouse/Child)
- Paid time off for holidays and Vacation
- Employee Stock Purchase Plan
- Tuition Assistance Plan
- Adoption assistance
- Employee Assistance Program/Work Life Resource Program
The above benefits exclude students.
Disclaimer for US/Canada
Nokia Maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity. Check the salary ranges in the job info section for this role.
All North America job posts will post for a minimum of 7 calendar days and up to 180 days or until candidate/s identified.
We are looking for a recent/upcoming college graduate with a Master's in Computer Science, Computer Engineering, or Data Science, with an emphasis on a Data Science related degree who will work with technologies such as MLflow, Pandas, Jupyter Notebooks, and other related technologies to perform Exploratory Data Analysis (EDA), and implement machine learning models. Candidates should have some familiarity with 3GPP, which will aid in implementing use cases in AI/Machine Learning for the Product and Engineering Team.
Must-Have:
- A Master's degree in Computer Science, Computer Engineering, or Data Science, with an emphasis on Data Science.
- Python proficiency, C++/C language knowledge.
- Some experience in data classification models, time series, and large language models including some familiarity with 3GPP and 4G/5G specifications.
- Experience with designing and implementing AI pipelines including langchain, and MCP (Model Context Protocol) for Large Language Model Deployment including embeddings and RAG (Retrieval Augmentation Generation) based modeling.
Nice-To-Have:
- Previous Nokia intern or co-op experience.
- Networking IP Knowledge (IPv6/IPv4), familiarity with Linux, Git, MLFlow, AirFlow, and Scikit Learn.
- Experience with Gen AI tools (e.g. Copilot) to aid in the job role (test script development, code development) in an Agile and DevOps environment.
- Characteristics of a self-starter, by being self-motivated and showing the ability to work independently on complex problems which include aptitude towards learning state-of-the-art technologies including the ability to keep abreast of evolution in the industry and cloud infrastructures, and gain complex knowledge in a short time frame.
- Excellent technical skills, demonstrated by working efficiently and being responsible for completing own code quality and/or testing activities given the provided requirements.
- Ability to understand the customer’s use case and create data-driven models which help the customer manage their network in an autonomous fashion, including the desire to work across organizational boundaries, multi-site, and multi-cultural teams including good communication skills and ability to explain technical information/risks and provide status updates on assigned tasks.
Work on technologies related to:
- Container Technologies (Kubernetes) platforms
- Artificial Intelligence, Machine Learning pipelines, and Gen-AI
Code and work on projects related to the following areas:
- Data analytics/Machine Learning, including Exploratory Data Analysis
- Coding in C++/C and Python which will be used in the implementation of models for data pipeline (training, serving, testing)
Work with technologies such as:
- MLflow, Pandas, Jupyter Notebooks, and other related technologies to perform Exploratory Data Analysis (EDA), and implement machine learning models.
- 3GPP, which includes implementing use cases in AI/Machine Learning for the Packet Core components including Cloud Mobility Manager for 4G MME (Mobility Management Entity) and 5G AMF (Access Mobility Function), Cloud Mobility Gateway for 4G SGW/PGW and 5G (SMF,UPF)
Follow all Nokia Information Security policies and guidelines including ISMS (ISO27001 program)