Pearson's English Language Learning division seeks a Senior AI Scientist. You will join our international AI organization, prototyping and implementing artificial intelligence systems for a critical educational product. This role operates with minimal guidance and includes leadership responsibilities, making it an entry-level manager position.

What You'll Do

Lead significant parts of the development lifecycle for learning and educational capabilities.
Conduct research and development to create data-driven educational products and solutions.
Design, implement, and maintain learning capabilities based on machine learning and statistics, collaborating with Engineering teams.
Design frameworks for monitoring capability performance in production and evaluate results for improvement.
Create and conduct internal training sessions.
Create technical documentation, including patent documentation.
Share work results internally and externally through publications, conferences, and meetups.
Stay up to date with state-of-the-art methods in your specialization, such as NLP, speech processing, statistical modelling, or psychometrics.
Provide input into team vision, goals, and processes.
Lead, mentor, and coach a small group of direct reports, ranging from interns to regular-level data scientists.
Supervise or lead colleagues with less experience.

What We're Looking For

Experience with generative AI models and techniques.
Proven experience collaborating with engineering teams to develop and implement AI solutions.
Proven experience building production-ready machine learning models to solve diverse business problems.
Strong knowledge of statistical modelling and machine learning theory.
Strong proficiency in Python and machine learning frameworks like pandas, numpy, scikit-learn, NLTK, spaCy, Hugging Face, TensorFlow, and PyTorch.
Hands-on experience with state-of-the-art methods in your specialization, such as NLP, speech processing, statistical modelling, psychometrics, or reinforcement learning.
Proficiency in SQL and relational databases.
Ability to translate business needs into research problems.
Ability to apply best practices for machine learning and software engineering.
Experience with Git-based code review.
Proficiency in Linux, Unix, or macOS.
Some experience working with non-technical stakeholders.
At least intermediate presentation and mentoring skills.
Ability to work effectively in a diverse, remote, asynchronous team.
Strong collaboration skills, including giving and receiving feedback.
Proficiency in written and spoken English and a key local language.

Nice to Have

Familiarity or experience with MLOps and DevOps.
Familiarity or experience with Docker and Kubernetes.
Familiarity or experience with cloud infrastructure, preferably AWS or Azure.
Familiarity or experience with cloud data processing, such as Snowflake or AWS Redshift.
Familiarity or experience with distributed data processing, such as Spark.

Technical Stack

Languages & Core: Python, SQL
Libraries & Frameworks: pandas, numpy, scikit-learn, NLTK, spaCy, Hugging Face, TensorFlow, PyTorch
Infrastructure & Tools: Linux/Unix/macOS, Git, Docker, Kubernetes
Cloud & Data: AWS, Azure, Snowflake, AWS Redshift, Spark

Team & Environment

You will be part of an international AI organization within Pearson's English Language Learning division. This role involves supervising and leading colleagues with less experience.