Lead Data Scientist

Location: Colombo  •  Experience: 3+ years of experience in software engineering, data science, machine learning, or AI engineering

About the Role

Our client is looking for a Lead Data Engineer with strong Python skills, expertise in modern data processing and LLM frameworks, and the ability to deliver scalable solutions while collaborating with teams in a fast-paced environment.

Key Responsibilities

• Develop and deploy machine learning models for analytics and automation
• Analyze data to support business strategy and decision-making
• Design solutions to improve financial service operations
• Collaborate with engineering and business teams
• Maintain data pipelines and support real-time analytics
• Use machine learning to enhance risk assessment and fraud detection
• Communicate insights through reports and dashboards
• Stay current with trends in data science and financial technology
• Proficient in Python, R, or Scala
• Experienced in data cleaning using Pandas, NumPy, and SQL
• Skilled with machine learning tools like TensorFlow, PyTorch, and Scikit-learn
• Strong problem-solving and analytical thinking
• Able to explain complex data to non-technical stakeholders
• Capable of managing multiple projects in a fast-paced environment
• Degree in Computer Science, Data Science, Statistics, or a related field
• Over three years of experience in data science or machine learning
• Experienced with large datasets and distributed computing like Spark or Hadoop
• Strong understanding of statistics, probability, and optimization
• Familiar with cloud platforms such as AWS, GCP, or Azure
• Background in financial services including trading or risk management is a plus

Required Knowledge & Experience

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• 3+ years of experience in software engineering, data science, machine learning, or AI engineering.
• Hands-on experience in developing and deploying GenAI/LLM applications in production environments, including containerisation and CI/CD pipelines.
• Exposure to cloud platforms (ideally Azure and Databricks).
• Bonus: Experience working with large-scale datasets and distributed computing (Spark or similar).

SkilledSearch is an equal opportunities provider. We celebrate diversity and are committed to creating an inclusive environment for all employees.