ETIC, Machine Learning , Associate
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Line of Service
AdvisoryIndustry/Sector
TechnologySpecialism
Advisory - OtherManagement Level
AssociateJob Description & Summary
As an Associate Machine Learning Engineer youll support the FS AI team in building data-driven solutions. Youll work under the guidance of senior engineers and data scientistsgaining hands-on experience in model development deployment and Responsible AI practiceswhile contributing to value-creating projects across the Firm.Responsibilities
Assist in designing and developing data science and ML components for PwC and client projects
Write test and document code modules for our Data Science codebase
Support end-to-end ML pipelines: data collection preprocessing model training and evaluation
Help deploy and monitor models in production escalating issues around performance or reliability
Contribute to embedding Responsible AI ensuring fairness transparency explainability bias mitigation and compliance with ethical and regulatory standards
Collaborate on proposals project plans and business cases
Prepare clear summaries of your work and present in team meetings
Continuously learn through on-the-job mentoring training sessions and self-study
Key Skills Required
Statistical Analysis & Machine Learning Theory (Intermediate):
Work with standard statistical tests and basic ML algorithms (linear regression decision trees).
Understand core concepts: biasvariance tradeoff overfitting evaluation metrics.
Machine Learning Lifecycle Management (Intermediate):
Contribute to data pipelines (feature engineering train/test splits) and help with model validation.
Assist in model packaging basic deployment scripts and routine performance checks.
Traditional Statistical Modeling & Classical ML (Intermediate):
Hands-on practice fitting and interpreting regression and classification models.
Apply clustering or dimensionality-reduction methods under supervision.
Python Programming (Intermediate):
Write clear maintainable Python code using pandas NumPy and scikit-learn.
Debug basic issues write unit tests for your modules and manage dependencies.
SQL Querying & Data Manipulation (Intermediate):
Extract filter and join tables from relational databases.
Perform straightforward ETL tasks and debug simple query performance issues.
Version Control & Git (Intermediate):
Use feature branches open pull requests and fix merge conflicts.
Follow established branching and review workflows.
Data Science Communication (Intermediate):
Create basic charts and slide decks that explain your analysis and model results.
Present your work to peers and ask clarifying questions to non-technical stakeholders.
Team Collaboration & Knowledge Sharing (Intermediate):
Contribute to peer reviews share learnings in brown-bag sessions and ask for feedback.
Pair-program with seniors to absorb best practices.
Nice to have
Generative AI & Transformer Models (Foundational):
Familiarity with using pre-trained language models (e.g. GPT BERT) for simple fine-tuning tasks.
Deep Learning Frameworks (Foundational):
Basic exposure to TensorFlow or PyTorch (e.g. building a small neural network).
Cloud Computing Platforms (Foundational):
Experience with one cloud provider (AWS Azure or GCP) to spin up VMs or managed notebook instances.
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Optional Skills
Accepting Feedback Accepting Feedback Active Listening Algorithm Development Alteryx (Automation Platform) Analytic Research Big Data Business Data Analytics Communication Complex Data Analysis Conducting Research Customer Analysis Customer Needs Analysis Dashboard Creation Data Analysis Data Analysis Software Data Collection Data-Driven Insights Data Integration Data Integrity Data Mining Data Modeling Data Pipeline Data Preprocessing Data Quality 33 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
0%Available for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
IC
Employment Type
Full-Time
