About the role: Reporting to the Lead Data Scientist, you will support the development and delivery of data science models. You will play a key role in maintaining high standards of data quality and model validation. Additionally, you will contribute to extending and refining existing data pipelines by integrating additional analytics and models
Our Team: Workforce Skills – We provide upskilling and reskilling that ensures people can thrive in a digital, automated future. Faethm is a SaaS platform that uses artificial intelligence to help prepare people for the future of work and was acquired by Pearson in 2021. Workforce Skills is the newest division at Pearson with ambitious and exciting plans for growth.
As a Data Scientist You Will Be Responsible For
- Advanced Analytical Implementation: Implement analytical techniques and methods to discover data patterns, develop classification, prediction, and optimization models, and drive business outcomes.
- Model Development Support: Engage in the model development lifecycle from conception to deployment, focusing on creating scalable and efficient models.
- Data Pipeline Maintenance: Collaborate on updating and maintaining data pipelines using AWS, integrating new models, and ensuring seamless data flows.
- Generative AI Application: Apply knowledge of Language Model Models (LLMs) and generative AI to enhance data quality and creativity.
- Qualitative Research and Analysis : Perform research, data analysis, and visualisation in the areas of future of work, workforce analytics, skills, and education, contributing to targeted outcomes.
- Collaboration with Product and Customer Teams : Engage with product and customer teams to understand client issues and ensure solutions deliver substantial value.
To be successful in this role, you will ideally have:
- 1+ years in data science with a strong background in data science or machine learning, and a formal qualification in a related field.
- Proficiency in Python, with hands-on experience in developing data processing workflows, performing analyses, and deploying machine learning models.
- Competence in SQL for data extraction, manipulation and analysis, with familiarity with database systems like Athena
- Experience with AWS for building and optimizing data pipelines, deploying data models and managing large-scale datasets in a cloud environment.
- Foundational understanding of generative AI concepts, with the ability to apply these technologies to improve data quality and model development.
Benefits
- Bonus leave day, to invest in your learning as well as volunteer day to give back to the community
- Flexible hybrid working
Flexible working: We are committed to hybrid working practices and has adopted flexible remote and virtual working. Where possible our employees can choose to manage their attendance to the office more flexibly.
If you are as passionate as we are about changing lives through learning, then help us to learn more about you and why you want to work with Pearson. Click ‘Apply Now’ to create your application online.
What To Expect From Pearson
Did you know Pearson is one of the 10 most innovative education companies of 2022?
At Pearson, we add life to a lifetime of learning so everyone can realize the life they imagine. We do this by creating vibrant and enriching learning experiences designed for real-life impact. We are on a journey to be 100 percent digital to meet the changing needs of the global population by developing a new strategy with ambitious targets. To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education. Alongside these, we have our corporate divisions: Digital & Technology, Finance, Global Corporate Marketing & Communications, Human Resources, Legal, Strategy and Direct to Consumer. Learn more at We are Pearson.
We value the power of an inclusive culture and also a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm and all individuals are supported in reaching their full potential. Through our talent, we believe that diversity, equity and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to building a workplace where talent can learn, grow and thrive.
Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We want a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work will be. All employment decisions are based on qualifications, merit and business need. All 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 strive for a workforce that reflects the diversity of our communities.
To learn more about Pearson’s commitment to a diverse and inclusive workforce, navigate to: Diversity, Equity & Inclusion at Pearson.
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.
Note that the information you provide will stay confidential and will be stored securely. It will not be seen by those involved in making decisions as part of the recruitment process.
Job: RESEARCH AND DEVELOPMENT
Organization: Workforce Skills
Schedule: FULL\_TIME
Workplace Type
Req ID: 16690