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.