Associate, AI Scientist - Intern

Job Description:

Job Title: Associate, AI Scientist - Intern
Department: CTO - Chief Data & AI Office
Employment type: Contract of Mandate/Umowa zlecenie
Location: Poznan, Poland
Duration: 10 Weeks
Why join Pearson's intern program?
Pearson is the world's learning company. We help people of all ages acquire the knowledge and skills they need to be successful in their work and careers. We believe that everyone should be able to keep learning, every day and in every way, throughout their lives. Bringing together everything we know about the science of learning and the latest technology, we're shaping the future of teaching and learning.
We're looking for the next generation of talented graduates to join our team for an unforgettable 10-week internship. An internship at Pearson is an opportunity to bring your own unique perspective as a learner, together with your academic knowledge, technical skills, and enthusiasm, to help create products that help fix the skills challenges faced by learners, employees and employers.
As one of our interns, you will gain a comprehensive introduction to our business. You'll be assigned to a team to support real-life projects that bring our products and services to life and are ready to launch to our learners.
We foster a work environment that's inclusive as well as diverse, where our people can be themselves. Every idea and perspective is valued so that our products reflect the people we serve - our teachers and students, employers and employees, and consumers and learners.
Position Overview
We are seeking an AI Scientist Intern (Speech Processing/Automated Speech Assessment) to support research and prototyping work in the area of automated speech processing for educational applications. This internship is designed around a bounded, standalone task with regular mentoring and check-ins. The intern will contribute to speech data processing, training and evaluation of machine learning models, literature review, and early-stage prototyping. This is a strong fit for a student with academic experience in machine learning and deep learning who is interested in applying these skills to speech-related AI problems.
Key Responsibilities
* Support the processing and preparation of speech data for machine learning experiments.
* Contribute to the training, evaluation, and comparison of proof-of-concept machine learning models.
* Review relevant literature and help translate research findings into prototype ideas and experimental directions.
* Document experiment results, findings, and recommendations for future work.
* Work on a clearly scoped task with regular guidance from experienced mentors.
Expected Deliverables
* Trained proof-of-concept models related to automated speech processing or automated speech assessment.
* Evaluation reports summarising methodology, results, and limitations.
* Clear documentation of findings, implementation notes, and recommendations for future work.
Required Qualifications
* Academic familiarity with Machine Learning and Deep Learning.
* Good programming skills in Python.
* Strong analytical and problem-solving skills.
* Ability to work in a structured way on an independently scoped task while engaging in regular mentoring check-ins.
* Proficiency in English and Polish.
Preferred Qualifications / Nice to Have
* Prior academic or project experience with speech data or speech-related machine learning problems.
* Familiarity with one or more of the following tools or libraries: spaCy, pandas, MLflow.
* Exposure to processing unstructured data.
* Familiarity with experiment tracking, reproducible workflows, or model evaluation practices.
Who we are:
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.
Job: Data Engineering
Job Family: TECHNOLOGY
Organization: Corporate Strategy & Technology
Schedule: FULL_TIME
Workplace Type: Hybrid
Req ID: 23300
Req Type: Student