Accenture Responsible AI Testing Science Consultant in Boston, Massachusetts
Accenture’s Global Responsible AI team within the Global Data & AI Practice. AI is becoming more pervasive, more powerful and more accessible. With these new opportunities come increased risks. We work with leading organizations to ensure AI is designed, built and deployed in a manner that engenders trust and adheres to laws, regulations and ethical norms. Our Responsible AI strategy will enable us to embed responsibility into all of Accenture’s data and AI activities. We’re developing and deploying differentiated IP and Responsible AI solutions with our ecosystem partners. We’ll be engaging regulators to help shape the policy agenda, conducting pioneering research with academia and offer training and resources to our clients through the Responsible AI Academy. The risks of AI are real and well- known. Let’s help our clients turn those risks into opportunities.
Excited by the fast-moving world of Data Science? We certainly are. Our Data Scientists work with leading organizations to transform data into actionable insights using advanced machine learning methods powered by world-class technology.
We’re looking to grow our Responsible AI team and if you’re an experienced Testing Scientist with a Responsible AI background, we’d love to hear from you.
As a Responsible AI Testing Science Consultant, you’ll be experienced in building state of the art models to solve difficult business challenges. But you’ll also have at least a year’s experience looking at responsible aspects such as AI model Fairness, Transparency, Explainability, Robustness, Soundness and Privacy – preferably gained in a client-facing environment.
You’ll be a problem solver who is passionate about all things data. You’ll be excited by difficult modelling challenges, and you’ll enjoy working with like-minded people who thrive on pushing the boundaries of the possible. You’ll be an outstanding technical specialist with the strong communication skills needed to liaise with your clients and your colleagues.
At the forefront of the industry, you’ll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises. We’re not just focused on increasing revenues – our technologies and innovations are making millions of lives easier and more comfortable. But above all, we’re doing this responsibly and inclusively – to make sure AI technology is used equitably and in a way that is both ethically and technically sound.
You’ll be a key player helping to deliver outstanding work for our Responsible AI clients. Some of the areas you’ll be working in include:
Develops AI models that uphold fairness, transparence and societal values
Delivering cutting-edge client projects relating to Responsible AI
Supporting client sales conversations and proposal preparation
Helping define, build and roll-out our internal Responsible AI tools and assets
Supporting the development of thought leadership and Points of View on Responsible AI
Helping with the development and delivery of Responsible AI technical training
Supporting the evaluation of third-party Responsible AI tools and frameworks
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
Here’s What you Need:
Minimum of 3 years’ experience in Data Science client facing work, including analytical techniques drawn from the following:
Programming languages (Python, R, Spark, SQL etc.)
Statistics and Probability Theory
Natural Language Processing
Time Series Forecasting
Machine Learning Visualization Tools
Minimum of 3 years’ experience with database technologies (SQL, ETL, NoSQL, DW), Big Data technologies (pySpark, Hive, etc.) and experienced in working with structured and unstructured data (text, PDFs, jpgs, call recordings, video)
Minimum of 1 year work experience in Responsible AI, including hands-on experience in technical Responsible AI areas (such as model Fairness, Transparency, Explainability, Robustness, Soundness and Privacy)
Minimum of 1 year experience in machine learning modeling techniques; fine-tuning and assessing the performance of models such as XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, LSTMs Markov chains, etc. and using specialized machine learning libraries (Fastai, Keras, Tensorflow, pytorch, sci-kit learn, Hugging Face, etc.)
Minimum of 1 year experience using Cloud technologies such as AWS, GCP or Azure
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)
Bonus Points If You Have:
Experience of using specialized visualization techniques (D3.js, ggplot etc.)
Experience with Generative AI
Project Management Experience
Linguistic proficiency (to a reasonable business level) in a language other than English
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, New York or Washington as set forth below.
Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards)
Role Location Annual Salary Range
California $73,000 to $218,800
Colorado $73,000 to $189,000
New York $67,600 to $218,800
Washington $77,700 to $201,300
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