Data Scientist

Tasks

• Analyze datasets to identify trends and insights
• Build prototype evaluate statistical and machine learning models
• Collaborate with data analysts, engineers, and stakeholders
• Communicate insights through visualization and data storytelling
• Deploy models to production and integrate with systems
• Design data collection integration and preparation pipelines
• Engineer and implement machine learning solutions lifecycle
• Ensure ethical standards and governance compliance
• Monitor model performance and detect drift
• Provide technical guidance and mentorship for ML implementation
• Research emerging AI and machine learning techniques

Perks/Benefits

• Hybrid working
• Training and development

Skills/Tech-stack

APIs | Apache NiFi | Data Analysis | Data Governance | Data Visualization | Docker | Drift Detection | Elasticsearch | Ethics in AI | Explainable AI | Exploratory Data Analysis | Fairness in AI | Kibana | Logstash | Machine Learning | Model Deployment | Model Drift | Model Drift Detection | Model Monitoring | Pandas | PyTorch | Python | Scikit-learn | Statistical modeling | TensorFlow