# ETIC, Machine Learning, Senior Associate at PwC

PwC is hiring an ETIC, Machine Learning, Senior Associate in Cairo, Egypt. Level rates it Builds AI ●●●●; you can [apply on PwC](https://jobsbylevel.com/go/2e11ae9b-a9e4-4302-a63b-68a81bcf332a?utm_medium=ai-agent).

AI Level 4, AI centrality 94 out of 100. Cairo - ETIC.

## Details

- Company: [PwC](https://jobsbylevel.com/companies/pwc)
- AI level: AI Level 4 (score 94 out of 100)
- Location: Cairo - ETIC
- Posted: August 6, 2025
- Apply: https://jobsbylevel.com/go/2e11ae9b-a9e4-4302-a63b-68a81bcf332a?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=etic-machine-learning-senior-associate-at-pwc-c9dc04

## Prepare for this job

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## Description

Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Senior Associate Job Description & Summary As a Machine Learning Engineer you will use techniques such as machine learning and natural language processing to realise authentic, data-driven change and solutions.The team reports to the board and commercial executive and works with clients and PwC leadership across our business units to enhance performance and have impact on value creation. Responsibilities Designing and developing data science and machine learning assets for PwC and its clients Contributing effective, useful code to our Data Science codebase Participating in constant learning through training and skills development Deploying and managing machine learning models in production environments, ensuring scalability, reliability and performance monitoring Embedding Responsible AI practices across the model lifecycle, ensuring fairness, transparency, explainability, bias mitigation and compliance with ethical and regulatory standards Contributing to the strategy and growth of a fast developing data science capability Craft and communicate compelling business “stories” based on analytics insight Business case and Proposal development Presenting findings to senior internal and external stakeholders Being part of this technology innovation effort of the Firm Key Skills Required 4+ Years Experience Statistical Analysis & Machine Learning Theory – Excellent understanding of statistics, machine learning techniques and algorithms . Hands -on experience with regression, classification, clustering and other classical statistical models and algorithms – Must have – Advanced Independently formulate hypotheses, choose and justify appropriate statistical tests and interpret results Select, implement and tune ML algorithms (e.g. random forests, SVMs, gradient boosting) end-to-end, and explain the mathematical foundations and assumptions behind them Hands-on experience designing and validating models for regression, classification and unsupervised learning tasks Deep understanding of bias–variance tradeoff , regularization techniques, and feature selection methods Machine Learning Lifecycle Management – Experience delivering end-to-end solutions from data sourcing and preprocessing through model deployment and results interpretation – Must have – Advanced Architect and execute full pipelines—from data ingestion and feature engineering through model training, validation, deployment, monitoring and retraining, using best practices in reproducibility and CI/CD Troubleshoot production issues (drift, latency, scaling) and optimise models for performance and cost Agile Methodologies – Ability to work effectively in an agile delivery environment, participating in sprint planning, stand-ups and retrospectives – Must have – Intermediate Participate effectively in sprint planning, daily stand-ups and retrospectives Break work into user stories, estimate tasks and collaborate with product owners to groom the backlog Requirements Gathering & Translation – Skill in partnering with product owners to translate business needs into data science requirements and success metrics – Must have – Advanced Lead interactions with stakeholders to outline clear business objectives and translate them into measurable data science success metrics. Draft technical specifications and align on KPIs, risk factors and roadmap milestones Data Science Project Execution – Demonstrable track record of completing data science projects (professional, academic or personal) with a clear business focus – Must have – Advanced Own multiple data science projects from proof-of-concept through delivery, ensuring alignment with business value and timelines Document methodologies, maintain reproducible codebases and present actionable insights to senior leadership Python Programming – Strong programming skills in Python, including libraries like pandas, NumPy, scikit-learn and others for

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Level. https://jobsbylevel.com/jobs/etic-machine-learning-senior-associate-at-pwc-c9dc04.

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