Data Scientist / Senior Data Scientist

We are looking for experienced Data Scientists with strong expertise in Python, Machine Learning, statistical modelling and predictive analytics. The ideal candidate should have hands-on experience in developing, deploying and maintaining machine learning models and building end-to-end ML pipelines to solve real-world business problems.

Key Responsibilities:

• Develop, train and deploy machine learning models for business applications.
• Perform statistical analysis, data exploration and feature engineering.
• Build predictive models and implement machine learning algorithms.
• Work with structured and unstructured datasets to identify patterns and business insights.
• Develop and optimise end-to-end machine learning pipelines.
• Apply appropriate ML techniques to solve complex business problems.
• Evaluate model performance, accuracy and scalability.
• Work with data engineering teams to prepare, process and transform datasets.
• Implement model monitoring, maintenance and performance optimisation.
• Create data visualisations and reports to communicate analytical insights.
• Collaborate with cross-functional teams to understand business requirements.

Required Technical Skills:

• Strong programming experience in Python and/or R.
• Good knowledge of SQL and database concepts.
• Hands-on experience with Machine Learning algorithms.
• Experience with Python libraries such as Pandas, NumPy and Scikit-learn.
• Knowledge of TensorFlow or PyTorch.
• Experience in statistical analysis and predictive modelling.
• Understanding of feature engineering and model evaluation techniques.
• Experience in developing and maintaining ML pipelines.
• Knowledge of data visualisation tools such as Tableau or Power BI.

Preferred Skills:

• Experience with MLOps and machine learning model deployment.
• Knowledge of cloud platforms such as AWS, Azure or GCP.
• Experience with deep learning and neural networks.
• Knowledge of big data technologies and distributed computing.
• Understanding of model versioning, monitoring and automation.

Eligibility Criteria:

• 3 to 6 years of relevant experience in Data Science / Machine Learning.
• Practical experience in developing and implementing ML models.
• Strong analytical, problem-solving and communication skills.
• Ability to work independently and collaborate with technical teams.

Interested candidates with hands-on experience in Data Science, Machine Learning and Predictive Analytics are encouraged to apply.