Full-Time

Sr Analyst

AI, Responsible AI

Confirmed live in the last 24 hours

Accenture

Accenture

11-50 employees

Global professional services in consulting and technology

No salary listed

Mid, Senior

Company Does Not Provide H1B Sponsorship

Mumbai, Maharashtra, India + 5 more

More locations: Hyderabad, Telangana, India | Pune, Maharashtra, India | Chennai, Tamil Nadu, India | Noida, Uttar Pradesh, India | Bengaluru, Karnataka, India

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Data Science
Reinforcement Learning
Requirements
  • PhD / Masters / Bachelor’s degree in Statistics / Economics / Mathematics / Computer Science / Physics or related disciplines from Premier Colleges in India or Abroad. Specialization in Data Science.
  • 3 – 10 years of Hands-on Data science experience in solving real life complex business problems
  • Minimum 1 years’ experience in enhancing AI systems to meet Responsible AI principles - Explainability, Fairness, Accountability, etc.
  • Passionate about understanding the impact of AI systems on people and society
  • Hands-on experience of using techniques such as data bias testing (e.g. for under-represented groups, proxy variables, recall bias, skew etc), Explainability (e.g. SHAP values, LIME), sensitivity testing, repeatability and similar to understand model limitations.
  • Demonstrated experience in writing reports that summarize analysis / assessments into simple and concise actionable points
  • Strong conceptual knowledge and practical experience in the Development, Validation, and Deployment of ML/AL models such as: Supervised Learning - regression, classification techniques, Unsupervised Learning – clustering techniques, Recommender Systems, Reinforcement Learning, Deep Learning – Sequence models (RNN, GRU, LSTM etc.), CNN, GAN etc, Econometric models, Exploratory Data analysis, Hypothesis testing etc.
  • Comfortable in ingestion of technical whitepapers, legal policies, government regulations etc. in relation into Responsible AI and work with Academic partners to convert them into practice
  • Ability to learn and develop new methods, strategies and frameworks to proactively identify potential loopholes.
  • Comfortable with ambiguity, believe in first principles and have the skill to transform broad ideas into action plans
  • Excellent written and verbal communication skills with ability to clearly communicate ideas and results to both technical and non-technical business audience, such as senior leaders
  • Good time management skills to manage day-to-day work progress and ensure timely and high-quality deliverables
  • Self-motivated with ability to work independently across multiple projects and set priorities and Strong analytical bent of mind.
Responsibilities
  • Consult with Accenture’s clients on how to design & develop reliable, effective user-centered AI systems in adherence to general best practices for software systems, together with practices that address responsibility considerations unique to AI & machine learning.
  • Contribute to research on how AI systems can be designed holistically with fairness, interpretability, privacy, security, safety, and robustness built in by design.
  • Be a subject matter expert on technical aspects of Responsible AI & Data.
  • Collaborate with colleagues to develop best practices, frameworks, tools for scalable implementation of Responsible AI in enterprises.
  • Conduct research on Responsible AI – policies, principles, issues, risk identification, risk remediation, regulatory requirements, latest trends etc.
  • Bring a strong conceptual understanding of Responsible AI, principles & tools with experience of using these tools in close collaboration with internal and external stakeholders/clients.
  • Evaluate and implement technical best practices and tools for fairness, explainability, transparency, accountability, and other relevant aspects of Responsible AI.
  • Develop a clear understanding of client’s business issues to adopt the best approach to implement the Responsible AI Framework.
  • Establish a consistent and collaborative presence by partnering with clients to understand the wider business goals, objectives & competitive constraints.
  • Provide thought leadership by publishing in public forums/conferences/blogs on Responsible AI products, research or developments.
  • Leading diverse and well-qualified RAI team.
Desired Qualifications
  • Cloud Certifications (Azure / AWS / GCP)
  • Knowledge of AWS SageMaker Clarify / Azure Responsible ML and Fairlearn SDK / GCP AI Explanations
  • Experience in Chatbot Analytics, Web Crawling
  • Experience in MLOps tools like MLflow or Kubeflow
  • Knowledge of cybersecurity, vulnerability assessment, risk remediation etc.

Accenture provides professional services that include strategy, consulting, digital, technology, and operations to clients in various industries such as financial services, healthcare, and technology. The company tailors its solutions to meet the specific needs of its clients, generating revenue through consulting fees and technology implementation. Accenture focuses on helping organizations with digital transformation, cloud services, and sustainability initiatives, allowing them to tackle complex challenges and explore new opportunities. What sets Accenture apart from its competitors is its extensive network of professionals and its strong emphasis on research and development, which helps the company stay ahead of industry trends and maintain partnerships with leading technology providers.

Company Size

11-50

Company Stage

Grant

Total Funding

$649.6M

Headquarters

San Francisco, California

Founded

1989

Simplify Jobs

Simplify's Take

What believers are saying

  • Accenture's AI investments align with the rise of AI-powered data processing platforms.
  • The demand for post-quantum cryptography boosts Accenture's cybersecurity offerings.
  • Generative AI investments enhance workforce transformation and operational efficiency.

What critics are saying

  • Competition from firms like Deloitte and PwC in AI and digital transformation.
  • Potential regulatory scrutiny over AI investments, especially in deepfake technology.
  • Rapid technological changes may challenge Accenture's integration capabilities.

What makes Accenture unique

  • Accenture Ventures partners with startups for innovative enterprise technologies.
  • Accenture offers tailored solutions across diverse industries, enhancing client performance.
  • The company invests heavily in R&D to maintain a competitive edge.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

Professional Development Budget

401(k) Retirement Plan

401(k) Company Match

Company News

Business Wire
Mar 14th, 2025
Accenture Invests in OPAQUE to Advance Confidential AI and Data Solutions

Accenture has made a strategic investment in OPAQUE.

Business Wire
Mar 12th, 2025
Accenture to Acquire Soben, Boosting Capital Projects Capabilities in Data Center Development and Other Sectors

Accenture has agreed to acquire Soben, a global provider of construction consultancy services, headquartered in Glasgow, Scotland.

Business Wire
Mar 5th, 2025
Accenture Invests in and Collaborates with AI-Powered Agentic Prediction Engine Aaru

Accenture today announced that Accenture Ventures has invested in Aaru.

Accenture
Mar 5th, 2025
Accenture Acquires Halfspace to Bolster AI Capabilities in the Nordic Region

Accenture has acquired Halfspace, a leading and multi-award-winning Denmark-based AI company that helps organizations leverage and scale AI to make better , more informed decisions, faster.

News N Releases
Mar 4th, 2025
Accenture Acquires Altus Consulting UK

Accenture has acquired Altus Consulting to enhance its financial services in the UK, particularly in insurance, investments, and pensions. Altus, known for its expertise in operating models and data, will join Accenture’s UK Insurance practice. This acquisition aims to leverage Altus's sector knowledge with Accenture’s technology to deliver large-scale transformation projects. Altus was acquired from Equisoft Inc., which retains its software business.