Data Scientist AI ML Advanced Analytics
Position Summary
We are seeking an analytical and innovative Data Scientist to help drive business transformation through Advanced Analytics, Artificial Intelligence and Machine Learning
This role focuses on discovering actionable insights from complex datasets developing predictive models identifying optimization opportunities and supporting data driven decision making across the enterprise The ideal candidate is curious,
Key Responsibilities
Analyze structured and unstructured datasets to identify trends opportunities and business insights
Develop and deploy predictive classification clustering and optimization models
Apply machine learning statistical analysis and AI techniques to solve business problems
Identify hidden patterns and relationships within complex datasets
Support experimentation hypothesis testing and model validation activities
Develop reusable analytical assets models and reporting frameworks
Present analytical findings and business insights to stakeholders
Contribute to data science best practices and continuous improvement initiatives
Required Qualifications
3+ years of experience in Data Science Machine Learning AI or Advanced Analytics
Strong foundation in statistics predictive modeling and machine learning
Experience working with large-scale datasets
Proficiency in Python SQL R or similar analytical languages
Experience with ML frameworks such as Scikit learn TensorFlow PyTorch XGBoost or equivalent
Knowledge of data visualization and analytical storytelling
Strong problem solving and communication skills
Preferred Qualifications
Experience with Generative AI Large Language Models Agentic AI or related technologies
Experience building predictive or decision intelligence solutions
Familiarity with cloud based analytics platforms
Experience with anomaly detection recommendation engines or intelligent automation solutions
Experience working in large enterprise environments
Key Competencies
Analytical Thinking
Ability to analyze complex data and convert findings into meaningful business insights
Pattern Discovery
Collaborative Execution
The ideal candidate
Uses data to uncover opportunities and risks
Sees patterns beyond standard reporting
Applies AI ML techniques to solve real world business problems
Balances analytical rigor with business practicality