For one of our clients, an international leader in game-tech space, we're seeking aData Science Team Leadto drive AI innovation within theirRisk Managementfunction.AsData Science Team Lead for Risk function, you'll lead a team of 5-7 Data Scientists and Machine Learning Engineers building AI solutions that detect fraud, assess risk, and protect the platform.
You'll bridge the gap between complex risk challenges and cutting-edge machine learning, delivering models that operate at scale in production environments.Key Responsibilities Team Leadership:Directly manage and mentor a team of 5-7 data scientists.
Foster technical growth, conduct code reviews, and guide the team through complex, ambiguous problems while promoting a culture of experimentation.
Strategy to Execution:Translate high-level risk management requirements into concrete machine learning problems.
Identify high-impact opportunities for AI to improve fraud detection, anomaly scoring, and operational security.
Hands-on Delivery:Oversee the end-to-end modeling process, including exploratory data analysis (EDA), feature engineering, model selection, and hyperparameter tuning.
Ensure the team adheres to best practices in coding, testing, and comparative experimentation.
Production Focus:Collaborate closely with engineering to deploy models into real-time production systems.
Implement robust MLOps practices, including CI/CD pipelines, automated retraining, and continuous performance monitoring to ensure scalability and reliability.Must-Have Experience Management:Proven experience leading Data Science or ML teams.
Technical Mastery:Expert knowledge of ML/Deep Learning algorithms and Python stack (scikit-learn, TensorFlow/PyTorch, pandas).
Production Engineering:Track record of deploying models to production with strong MLOps/CI/CD practices.
Foundations:Strong background in software engineering (OOP) and statistical theory.
Communication:Fluent English with the ability to explain complex technical concepts clearly.Nice-to-Have Experience withSpark/PySparkand cloud platforms ( Azure/Databricks).
Background inFraud Detection,Risk, orCybersecurity.
Knowledge ofreal-time scoringand theiGaming/BettingindustryOur client considers only applicants who are currently living in Portugal with full legal authorization to work here (valid work permit or EU citizenship).
(Please note: We are unable to offer visa sponsorship or relocation support for these positions.)Contract & Benefits Contract:Permanent, full-time employment directly with our client.
Compensation:Competitive base salary tailored to your seniority level (assessed during technical interviews) + performance bonus.
Perks:Comprehensive benefits package including private healthcare, meal allowance, company card, and access to learning platforms like Udemy.