Lead Data Scientist (AI Engineering)
Confirmed on the employer's own hiring board on Oct 7, 2026. First seen by Alion on Oct 7, 2026.
Join our team as a Lead Data Scientist in AI Engineering. In this role, you will lead the development of advanced machine learning solutions across various domains, focusing on predictive modeling and technical leadership. You will drive projects from problem definition to model deployment and business impact measurement, while mentoring and developing data scientists and AI engineers. A strong track record in machine learning and experience leading technical teams is required.
Missions
- Lead the design, development, and deployment of machine learning solutions that solve high-impact business problems.
- Define modelling approaches, experimentation frameworks, and success metrics for AI initiatives.
- Mentor and develop data scientists and AI engineers through technical guidance, reviews, and coaching.
Profil recherché
- Strong track record of delivering measurable business outcomes through machine learning- Experience solving predictive modelling problems such as attrition, forecasting, recommendation systems, propensity modelling, fraud detection, risk modelling, or customer analytics
- Experience leading technical teams, mentoring practitioners, and influencing technical direction
- Proven experience leading machine learning projects from concept through production deployment
- Experience with machine learning frameworks such as Scikit-Learn, XGBoost, LightGBM, TensorFlow, or PyTorch
- Familiarity with transformer-based models and foundation-model applications
- Strong understanding of classification, regression, forecasting, recommendation systems, ranking, clustering, and anomaly detection
- Strong expertise in machine learning, predictive analytics, statistical modelling, and experimentation
- Experience with feature engineering, representation learning, embeddings, and downstream machine learning workflows
- Advanced Python and SQL skills
- Experience working with Databricks, Spark, Azure, AWS, or GCP
- Leadership & Communication
- Strong problem-solving and decision-making skills
- Ability to translate complex technical concepts into actionable business insights
- Ability to lead through influence across cross-functional teams
- Excellent communication and stakeholder management capabilities
- Experience leading technical projects or teams
- 8+ years of experience in machine learning, data science, AI, or advanced analytics
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
- Experience developing and deploying machine learning models in production environments
- Master's degree or PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Mathematics, or a related field
- Experience in financial services, payments, banking, fintech, fraud, marketing analytics, or customer intelligence
- Experience with foundation models, embeddings, or representation learning
- Publications, patents, conference presentations, or other evidence of technical thought leadership