Senior Data Scientist
Senior Data Scientist
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Salary Not Disclosed
1 Vacancy
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 58 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)
Additional Information :
Behavioural Competencies:
- Adopting Practical Approaches
- Articulating Information
- Challenging Ideas
- Convincing People
- Embracing Change
- Empowering Individuals
- Making Decisions
- Producing Output
- Pursuing Goals
- Resolving Conflict
- Showing Composure
- Upholding Standards
Technical Competencies:
- Machine Learning & Deep Learning (Supervised Unsupervised NLP GenAI)
- Statistical Modelling & Advanced Analytics
- Data Wrangling & Feature Engineering
- MLOps & Model Lifecycle Management
- Big Data & Distributed Systems (Spark Databricks)
- Cloud ML Services (Azure ML AWS Sagemaker)
- Data Governance & Model Explainability
- Business Problem-Solving & Value Creation
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
