Senior Data Scientist

Our client is seeking a Senior Data Scientist to lead the development of advanced analytics, machine learning models, and data-driven solutions that support strategic business decision-making. The successful candidate will work closely with business stakeholders, engineering teams, and leadership to extract meaningful insights from complex datasets.

Requirements

Key Responsibilities

• Design and implement advanced predictive models.
• Develop machine learning and statistical solutions.
• Analyse large and complex datasets.
• Build forecasting, classification, and recommendation models.
• Drive data-driven decision-making across business functions.
• Present insights and recommendations to stakeholders.
• Mentor junior Data Scientists and Analysts.
• Collaborate with Data Engineering teams to build scalable data solutions.
• Deploy and monitor machine learning models in production.

Minimum Requirements

• Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field.
• Master's Degree preferred.
• 5+ years of Data Science experience.
• Proven experience delivering machine learning solutions in production environments.

Technical Skills

Essential

• Python
• SQL
• Machine Learning
• Statistics
• Predictive Analytics
• Data Modelling
• Data Visualisation
• Feature Engineering

Tools & Technologies

• Python
• Pandas
• NumPy
• Scikit-Learn
• TensorFlow or PyTorch
• SQL Server
• PostgreSQL
• Power BI
• Tableau
• Jupyter Notebooks

Cloud Platforms

• AWS
• Azure
• Google Cloud Platform

Preferred Experience

• Generative AI
• Natural Language Processing (NLP)
• MLOps
• Data Engineering exposure
• Big Data technologies
• Spark
• Databricks

Key Competencies

• Advanced Analytical Skills
• Business Acumen
• Problem Solving
• Communication Skills
• Leadership & Mentoring
• Stakeholder Management

Preferred Certifications

• AWS Certified Machine Learning
• Microsoft Azure Data Scientist Associate
• Google Professional Machine Learning Engineer
• Databricks Certifications

Success Measures

• Delivery of business value through analytics.
• Accuracy and performance of predictive models.
• Stakeholder satisfaction.
• Successful deployment of production-ready solutions.
• Continuous improvement of data-driven capabilities.