Data Analytical Specialist/Scientist - Senior

Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights. Work closely with client’s groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvement. Facilitate decision-making and manage client expectations. Own the execution of analytics initiatives including end-to-end reporting and data set delivery. Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences. Participate in documentation, development, testing, and end user training. Work with functional area experts, Data Architects and ETL Developers and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutions. Design methods to capture, structure, transform, and process data to be used to generate models. Build data models that provide information which is accurate, easy to understand and unbiased. Communicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summaries. Provide interpretation, advice, and expertise to client groups and other stakeholders, including direction on how to transform analytics into actionable information and proactive insights that support decision making. Must Haves: Azure data tools - azure, databricks, MLflow, python Exposure to LLM frameworks (DSPy, LangChain, Hugging Face, or equivalent). Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.

Lead the development of functional analytics and statistical models to support evidence-based decision-making and actionable insights. Collaborate with stakeholders and technical teams to design and deliver end-to-end reporting and Business Intelligence solutions.

Requires proficiency in Azure data tools, Python, and machine learning libraries such as scikit-learn or PyTorch. Candidates must have exposure to LLM frameworks like LangChain or Hugging Face.

• Microsoft AzurePreferred
• Machine learningPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Azure
• Databricks
• MLflow
• Python
• LLM Frameworks
• Pandas
• Scikit-learn
• PyTorch
• Statistical Modeling
• Machine Learning
• Business Intelligence
• Data Modeling
• Quantitative Analysis
• Data Transformation
• ETL

• Data & Analytics
• Technology
• Consulting
• Software
• Science & Research

Minimum experience

5+ years

Apply by

Sep 26, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available