Requirements

Key Responsibilities

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  Design and implement advanced predictive models.
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  Develop machine learning and statistical solutions.
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  Analyse large and complex datasets.
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  Build forecasting, classification, and recommendation models.
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  Drive data-driven decision-making across business functions.
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  Present insights and recommendations to stakeholders.
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  Mentor junior Data Scientists and Analysts.
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  Collaborate with Data Engineering teams to build scalable data solutions.
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  Deploy and monitor machine learning models in production.

Minimum Requirements

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  Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field.
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  Master's Degree preferred.
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  5+ years of Data Science experience.
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  Proven experience delivering machine learning solutions in production environments.

Technical Skills

Essential

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  Python
• 
  SQL
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  Machine Learning
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  Statistics
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  Predictive Analytics
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  Data Modelling
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  Data Visualisation
• 
  Feature Engineering

Tools & Technologies

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  Python
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  Pandas
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  NumPy
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  Scikit-Learn
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  TensorFlow or PyTorch
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  SQL Server
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  PostgreSQL
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  Power BI
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  Tableau
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  Jupyter Notebooks

Cloud Platforms

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  AWS
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  Azure
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  Google Cloud Platform

Preferred Experience

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  Generative AI
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  Natural Language Processing (NLP)
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  MLOps
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  Data Engineering exposure
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  Big Data technologies
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  Spark
• 
  Databricks

Key Competencies

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  Advanced Analytical Skills
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  Business Acumen
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  Problem Solving
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  Communication Skills
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  Leadership & Mentoring
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  Stakeholder Management

Preferred Certifications

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  AWS Certified Machine Learning
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  Microsoft Azure Data Scientist Associate
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  Google Professional Machine Learning Engineer
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  Databricks Certifications

Success Measures

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  Delivery of business value through analytics.
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  Accuracy and performance of predictive models.
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  Stakeholder satisfaction.
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  Successful deployment of production-ready solutions.
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  Continuous improvement of data-driven capabilities.