Associate Data Scientist designing and evaluating LLM - based applications for Manulife. Collaborating on AI initiatives and gaining experience in a supportive environment.
About the role
- Data Scientist responsible for implementing AI and ML solutions for fintech company. Collaborating with teams to meet business goals and enhance performance in risk management.
Responsibilities
- Model Development: Apply advanced machine learning and statistical methods to develop and implement models across diverse use cases, including credit, commercial, product, and operations, with a significant emphasis on credit risk.
- ML Ops Leadership: Define and execute an ML Ops framework to streamline model lifecycle management, including data ingestion, data transformation, model training, deployment, and monitoring.
- Collaborative Problem Solving: Work with commercial and product teams to align ML solutions with business goals, ensuring risk considerations are integrated into new products and customer segments.
- Performance Tracking: Continuously monitor model performance and develop strategies to enhance accuracy and relevance, incorporating lessons learned into future iterations.
Requirements
- Educational Background: PhD in Mathematics, Physics, Statistics, AI or other related subjects.
- Deep Experience: 5+ years of experience in data science, including hands-on ML model development and production deployment.
- ML & Statistical Expertise: Expert in designing, training and tuning predictive models using both established statistical methods and modern AI techniques, with practical experience in deploying models to solve complex, real-world problems.
- High-growth Experience: Prior experience working in high-growth environments, ideally start-ups or scale-ups
- Coding Skills: Proficient in Python, SQL, and one of Pytorch or Tensorflow, with experience in writing, debugging, and optimising code.
- ML Ops Knowledge: Familiarity with tools like MLflow, Kubeflow or Vertex AI, and experience implementing CI/CD pipelines for machine learning.
- Understanding of Financial Services: Financial Services understanding is a plus, ideally in a lending environment.
- Strong Communicator: Can engage both technical and non-technical stakeholders
Benefits
- Unlimited holiday: we believe that well-rested and happy people make the best employees
- Competitive compensation plan
- Personal growth fund: Raise your game from great to spectacular
- Monthly recognition and awards: Celebrate wins big and small
- The opportunity to make a big impact every day on the lives of European and US entrepreneurs.
- Workspaces in Warsaw, London and Atlanta
Job title
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