eTeam UK

Sr Specialist Data Scientist of Fairness and Ethic...

Job description

Job Title: Sr Specialist Data Scientist of Fairness and Ethics
Duration: 12 Months
Location: Poland

Division (BUD) Technology
Department Name (BUD1) Architecture & Data
Requisition Type ATS-Contractor Conversion
Job Family Data Scientist

Primary Job Location (city & country) Warclaw, Poland

Justification for Requisition

Fairness and Ethics are becoming extremely important aspects of risk for AI products.
This needs to be addressed to ensure safeguards and suitable management and mitigation of risk. Since this is a rapidly evolving field, we need a person who has
taken Machine Learning projects from design to development and production
understanding of production level Ground Truth Model Evaluation systems
knowledge of the basics of Principles of Fairness, Ethics, Accountability and

Transparency of AI solutions to work on integrating the fairness and ethics metrics in the Ground Truth systems.

Team Description:

The team is responsible for defining the fairness and ethics metrics and helping create
the system for the tracking of AI projects. These metrics are tracked in the Ground
Truth system for model governance.

Role Description:

Senior Specialist Data Scientist of Fairness and Ethics in Data Science
The role requires
  • creating the portions of the risk library and integration with the ground truth system
  • working on deciding the fairness and ethics metrics for specific project types

Key Job Responsibilities:

Working on developing and maintaining the vector of metrics for AI models in performance,
stability, fairness, ethics, accountability, transparency.
Working with multiple teams to create a scalable method to approve models for risk without
compromising on the threshold of metrics
Identifying the class of fairness and ethics metrics for different type of projects, image analysis,
anomaly detection and natural language processing

Required Qualifications:

Master s degree or equivalent in a highly quantitative field such as Computer Science, Machine
learning, Statistics, Mathematics, Engineering
3+ years of experience in statistical and machine learning analysis and development
Understanding of design, development, and implementation of machine learning and artificial
intelligence models
Strong interest in financial engineering or products of financial markets or statistics or natural
language processing or data science or machine learning
Strong problem-solving skills
Creating best practices on fairness and ethics metrics tracking of AI solutions for Model Governance

Preferred Qualifications:

Good understanding of risk analysis of AI projects
Understanding of fairness and ethics issues in AI projects
Capability to work in a highly independent role with responsibility and accountability
Keeping up with the changes in AI project tracking metrics in the finance industry
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes,
SVM, Decision Forecasts, LSTM etc., or NLP methods such as BERT

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