Advanced Specialist, Ai Scientist

ROLE: Senior AI ScientistAre you passionate about AI and Education? We are thrilled to announce a great opportunity to join our international AI organization inside the English Language Learning division as a Senior AI scientist for one of the most critical products in the company. You will workprototyping and implementing artificial intelligence systems for the education sector .In Pearson English Language Learning we aspire to become the world’s leading destination to learn, assess and improve English language skills. Our main focus is to deliver our promise to committed learners from around the world, who want to reach their full potential through learning English.Role profileThis position requires an experienced and fully competent professional with a broad set of skills in data engineering, statistical reasoning and modelling for educational measurement, applied machine learning research, and possibly also basic leadership skills.This role requires minimal guidance. It can be considered to be an entry-level manager role, which may supervise and/or lead colleagues with less experience.Estimated time spent on various task types:New features: **%Documentation: 15%Meetings, incl. supervision: **%Maintenance: 5%ResponsibilitiesDepending on current needs, the role may be responsible for:Leading significant parts of work in the lifecycle of development of learning educational capabilitiesResearch & development in the field of creating data-driven educational products and solutionsDesigning, implementing and maintaining learning capabilities based on machine-learning and statistics, in collaboration with Engineering teamsDesigning frameworks for monitoring capabilities performance on production (in collaboration with Engineering teams); evaluating results for improvementCreating and conducting internal trainingsCreating technical documentation, incl. patent documentationSharing work results internally and externally (publications, conferences, meetups)Staying up to date with state-of-the-art methods in the scope of own specialisation, e.g. NLP, speech processing, statistical modelling, psychometricsProviding input into team vision, goals, and processesLeading, mentoring and coaching a small group of direct reports (from intern to regular level data scientists)Supervising or leading colleagues with less experienceMost desirable qualifications:Experience with generative AI models and techniques.Strong collaboration with engineering teams to develop and implement AI solutions.Proven experience in building production-ready machine learning models to solve diverse set of business problems.Good knowledge of statistical modelling and machine learning theoryStrong proficiency in Python and machine learning frameworks, e.g. pandas, numpy, scikit-learn, NLTK, spaCy, Hugging Face, TensorFlow, PyTorchStrong hands-on experience in using state-of-the-art methods in the scope of own specialisation, e.g. NLP, speech processing, statistical modelling, psychometrics, reinforcement learningProficiency in SQL and relational databasesAbility to translate business needs into research problemsAbility to apply best practices for machine learning and software engineeringExperience with Git-based code reviewProficiency in Linux, Unix or macOSSome experience in working with non-technical stakeholderAt least intermediate presentation and mentoring skillsAbility to work in a diverse, remote, asynchronous teamCollaboration skills, e.g. being able to give (and receive) feedbackProficiency in written and spoken English and a key local languageNice to have:Familiarity / experience with:MLOps and DevOpsDocker and Kubernetescloud infrastructure, preferably AWS, Azurecloud data processing, e.g. Snowflake or AWS Redshiftdistributed data processing, e.g. SparkLocation:We are looking for an individual in Spain or Poland to join our existing hubs.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 .#J-*****-Ljbffr

Proven experience in building production-ready machine learning models to solve diverse set of business problems. Good knowledge of statistical modelling and machine learning theory Strong proficiency in Python and machine learning frameworks, e.g. pandas, numpy, scikit-learn, NLTK, spaCy, Hugging Face, TensorFlow, PyTorch Strong hands-on experience in using state-of-the-art methods in the scope of own specialisation, e.g. NLP, speech processing, statistical modelling, psychometrics, 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 in working with non-technical stakeholder At least intermediate presentation and mentoring skills Ability to work in a diverse, remote, asynchronous team Collaboration skills, e.g. being able to give (and receive) feedback Proficiency in written and spoken English and a key local language Nice to have: Familiarity / experience with: MLOps and DevOps Docker and Kubernetes cloud infrastructure, preferably AWS, Azure cloud data processing, e.g. Snowflake or AWS Redshift

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 . #J-*****-Ljbffr

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.