Job Description

• We are seeking an experienced Senior Data Scientist to lead the design, development, and deployment of advanced analytical and machine learning solutions. The ideal candidate will be responsible for solving complex business problems through data-driven insights, predictive modelling, and AI solutions.
• This role requires strong expertise in statistical modelling, machine learning, and deep learning, along with proven experience deploying models into production within hybrid cloud environments (Azure and AWS). The Senior Data Scientist will collaborate with stakeholders across business and technology teams, ensuring solutions are scalable, explainable, and deliver measurable value.

Qualifications

• Type of Qualification: First Degree

Field of Study: 

• Computer Science, Statistics, Applied Mathematics, or related
• Advanced degree (MSc/PhD) preferred.
• Certifications in Azure Machine Learning, AWS Sagemaker, or related platforms advantageous

Experience Required
5-8 years

• Minimum 5–8 years’ experience in Data Science and Machine Learning
• Proven track record of deploying ML models into production (Azure ML, AWS Sagemaker, or Databricks)
• Strong expertise in Python (Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL
• Solid understanding of statistics, time series analysis, NLP, and deep learning
• Experience with MLOps, CI/CD pipelines, and model monitoring
• Exposure to big data ecosystems (Spark, Databricks, Hadoop) is advantageous
• Experience working in financial services or large-scale enterprise environments (preferred)