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Senior manager-Machine Learning

Accenture5 days ago
Hybrid
Ottawa, ON
Senior Level
full_time

About the role

We are:

Accenture’s Data & AI practice, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds?

You are:
An experienced senior consulting executive who has built and delivered transformative data & AI projects and solutions in the Financial Services and/or Insurance industry. As a data and AI expert with strong analytical and statistical skills, you know how to take massive amounts of data and find the insights our clients need to help their companies do more.

The work:

  • Drive business strategy discussions on how to leverage Data, AI, model development, or model validation to create improved business results

  • Develop custom prescriptive and AI/ML models based on in-depth understanding of underlying data, data structures, algorithms, regulatory requirements, and business problems to ensure analytics deliverables meet client needs

  • Prototype and demonstrate products for clients in customer or Accenture environments

  • Partner with solution providers to deliver solutions augmented with data science and tailored for clients

  • Drive innovation with Generative AI

  • Summarize and present data science -backed results and recommendations to executive audiences

  • 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 10 years’ experience of demonstrated results in Data &AI based projects
  • Minimum of 8 years’ expertise with advanced statistical modeling, AI, machine learning, optimization modeling, data mining, unstructured data analytics in corporate and/or academic research environments
  • Minimum of 8 years' experience developing machine learning methods, including familiarity with techniques in clustering, regression, optimization, recommendation, neural networks, and others
  • Minimum of 8 years’ experience creating and executing presentations to executive-level audiences in corporate and/or academic research environments
  • Minimum of 3 years' experience developing solutions on and administering the Palantir Foundry platform.
  • Bachelor’s degree in quantitative field, Engineering, Computer Science, Physics, Applied Mathematics, Statistics, Economics, or related fields

Bonus points if:

  • 2 years of prior experience in model validation or model audit
  • 2 years of prior experience in a regulatory agency (FRB, OCC, FDIC, SEC) in a quantitative or analytical supervision role
  • Prior experience with credit risk, market risk, operational risk, PPNR, AML/KYC, fraud models
  • 10 years of experience working in a consulting capacity
  • Experience managing and leading teams
  • Business development experience
  • Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions
  • Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains; and possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients

About Accenture

Business Consulting and Services
10,000+

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.

We are a talent and innovation-led company serving clients in more than 120 countries. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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