Data Analyst

Job Overview
We are seeking a Junior Data Analyst with strong analytical and mathematical skills to support AI/MLmodelling, predictive analytics, and optimisation work. This role is ideal for candidates who want to grow into data science, machine learning, or optimisation modelling roles.

Key Responsibilities

Data Requirements & Understanding

• Work with stakeholders to gather requirements and translate them into modelling or analytical tasks.
• Understand operational workflows and identifyopportunities for predictive modelling and optimisation.

Data Preparation & Engineering Support

• Clean, transform, and prepare datasets for modelling.

• Assist in building data pipelines for model training, evaluation, and reporting.

Predictive Modelling & Machine Learning

• Develop predictive models using statistical, machine-learning, and deep-learning techniques.

• Analyse behavioural and operational patterns to uncover insights and improve decision-making.

• Build and test real-time inference models for integration with applications and backend systems.

AI / ML Pipeline Development

• Implement end-to-end ML workflows in cloud environments (preferably AWS).

• Support model deployment, monitoring, and API integration with applications.

Optimisation & Mathematical Modelling

• Develop models for scoring, ranking, scheduling, and resource optimisation.

• Apply operations research methods to improve efficiency and balance supply-demand scenarios.

Analytics & Dashboard Support

• Build dashboards and automated analytics tools to visualise performance and trends.

• Provide timely insights based on data analysis and model outputs.

Model Governance & Monitoring

• Maintain proper versioning, documentation, and reproducibility of models.

• Monitor model drift, data drift, and performance degradation over time.

Required Skills & Qualifications

• Degree in Mathematics, Statistics, Applied Mathematics, Operations Research, Data Science, or related quantitative fields.

• Strong foundation in statistics, probability, optimisation, or mathematical modelling.

• 3–5 years of experience in data analysis, modelling, or related work

• Hands-on experience with Python (pandas, NumPy, SciPy, scikit-learn; PyTorch/TensorFlow a bonus).

• Familiarity with cloud platforms (AWS preferred) and ML workflow tools.

• Understanding of real-time data processing and API-based model deployment concepts.

• Excellent communication skills and ability to explain technical concepts simply.

• Curious, analytical, and eager to learn AI/ML techniques.