About the internship

• We are looking for an AI Science intern to join the AI Learning Capabilities team in Poznań.
• The internship provides the opportunity to engage in cutting-edge research & development in a highly-collaborative environment.
• You will prototype and implement data-driven educational products that will have an impact on millions of learners around the globe.

The opportunity for you:

• Use state-of-the-art methods and tools from field of NLP and cloud computing
• Work in an international R&D environment and learn from experts with years of experience in the industry and the academia
• Receive dedicated mentoring
• Present the results of your work at meet-ups or conferences to build your professional brand
• Supplement your on-the-job learning with formal learning (e.g. courses on Coursera, A Cloud Guru, etc)
• Contract of mandate (umowa zlecenie) with an hourly rate of 25-50 zł gross, initially for 3 months
• If you & we are both happy with the co-operation after the initial 3 months, we will extend your internship contract for the long term. We'll also be willing to offer a permanent position (employment contract) after your graduation.

We encourage you to apply if:

• You're open to learning new things
• You already have some experience in doing NLP in Python. Non-commercial experience also counts
  • Experience in writing not AI related production level code is also welcomed
    
• You're able to communicate both in English and Polish (speaking & writing)
• You're a university student (with a formal student status) available for a minimum of 25 hours a week
  • We may also consider non-student candidates
• You're legally allowed to work in Poland

About the AI Learning Capabilities team

• The AILC team at the Pearson Poznań office is a part of an international R&D unit that creates AI Learning Capabilities (i.e. systems that use AI methods to facilitate the process of human learning). The team consists of AI Scientists, AI Engineers, and Technical Project Managers.
• Our role is to:
  • Design, build, and continuously improve customer-facing Intelligent Learning Capabilities​ across Pearson.
  • Provide technical leadership in the application of AI​ at Pearson.
• We specialise in two main types of intelligent capabilities:
  • Adaptive modelling & diagnostic capabilities that fast-track learners through a course of learning and identify struggling learners.
  • Natural language processing-based assessment capabilities that evaluate a learner's soft & hard skills through text or speech.
• In our work, we often innovate around implementing psychometric ideas using the latest machine learning methods and prototyping innovative natural language processing methods. See more of our work.
• We proudly support the Polish AI community by sponsoring conferences (ML in PL, Why R?, GHOST Day, Cloud & Datacenter Day), hosting meetups with the Women in Machine Learning & Data Science organisation, and hosting our own series of open talks & workshops.

About Pearson

• Learning is the most powerful force for change in the world. More than 20,000 Pearson employees deliver our products and services in nearly 200 countries, all working towards a common purpose – to help everyone achieve their potential through learning. We do that by providing high quality, digital content and learning experiences, as well as assessments and qualifications that help people build their skills and grow with the world around them. We are the global experts in learning. See the 5 types of products & services that we deliver to tens of millions of learners annually.
  
• The global learning market is vast - at around $7 trillion today, growing to over $10 trillion by 2030. This all adds up to huge momentum in our industry, and a great opportunity for Pearson to innovate and scale to meet the growing and changing demands of consumers globally. The most interesting thing about that extraordinary $7 trillion learning market? It is currently only 3% digital! And that’s a huge opportunity for us to grow our business. See how we're going to do that.

• Contact us even if your background is in other areas than exact sciences but you are interested in working with data and algorithms in education. Some of our best AI Scientists joined us from other fields, e.g. econometrics or natural sciences. Your passion for solving educational challenges with AI and perseverance in growing your future technical skills are as important to us as your current technical skills.
• Please send your resume/CV to eliza.roszyk@pearson.com with "AI Science Internship NLP” in the subject line.
• We reserve the right to contact only selected candidates.