Data Science Lead

About the job

We are seeking a visionary and technically skilled Data Science Lead to drive advanced analytics initiatives across Commercial, Financial, and HR domains. This role combines hands-on modeling expertise with strategic leadership to unlock insights, guide data-driven decisions, and mentor a growing team of data scientists. Key Responsibilities: • Define and execute the data science roadmap aligned with business goals and transformation initiatives. • Lead and mentor a team of data scientists, fostering a culture of innovation, collaboration, and continuous learning. • Partner with senior leadership to identify high-impact opportunities for predictive modeling, optimization, and machine learning. • Design and implement statistical models, machine learning algorithms, and AI solutions to solve complex business problems. • Oversee the full lifecycle of model development—from data exploration and feature engineering to validation and deployment. • Collaborate with data engineering teams to ensure robust data pipelines, model scalability, and production readiness. • Ensure models are built on clean, reliable, and well-governed data. • Establish best practices for model documentation, versioning, and performance monitoring. • Promote ethical AI use and compliance with data privacy and regulatory standards. • Work with stakeholders across Finance, Commercial, HR, and IT to translate business needs into analytical solutions. • Support BI teams in integrating model outputs into dashboards and reporting tools (e.g., Power BI, Quick Sight/Suite, Tableau). • Report the data inconsistencies and collaborate with data owners to bridge the gap. Required Skills & Qualifications: • Master’s or PhD in Data Science, Statistics, Computer Science, or related field. • Minimum 8 years of experience in data science, with at least 2 years in a leadership role. • Proven expertise in: - Machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) - Programming languages (Python, R, SQL) - Data visualization tools (Power BI, Quick Sight/ Suite, Tableau) - Cloud platforms (AWS, Azure, GCP) - Big data technologies (PySpark, Spark, Hadoop) is a plus - Model deployment and MLOps practices. • Strong understanding of data architecture, governance, and security protocols. • Excellent communication, stakeholder engagement, and project management skills. Alight requires all virtual interviews to be conducted on video.

Requirements

• machine learning frameworks
• Python
• R
• SQL
• data visualization tools
• cloud platforms
• big data technologies

Qualifications

• Master’s or PhD in Data Science, Statistics, Computer Science or related field
• Minimum 8 years of experience in data science

Preferred Technologies

• machine learning frameworks
• Python
• R
• SQL
• data visualization tools
• cloud platforms
• big data technologies

Benefits

• comprehensive total rewards package
• continuing education and training
• health coverage options
• wellbeing and support programs
• retirement plans
• vacation and sick leave
• maternity, paternity & adoption leave

About the company

At Alight, we believe a company’s success starts with its people. At our core, we Champion People, help our colleagues Grow with Purpose and true to our name we encourage colleagues to “Be Alight.” Alight helps clients gain a benefits advantage while building a healthy and financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, absence management and navigation.