Applied Intelligence, 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? Visit us here to find out more about Applied Intelligence.
A data pro with serious analytical and statistical chops. You know how to take massive amounts of data and find the insights our clients need to help their companies do more.
- Use statistics, data mining, Machine Learning, and deep learning techniques to deliver data-driven insights for our clients
- Apply data science methodologies to deliver insights to clients
- Work with Accenture teams and clients to understand their challenges and create solutions
- Facilitate the development of “request for proposals” responses and contract development
- Be a thought leader for your team on projects and about leading technologies
- Stay on top of AI trends
Here’s what you need:
- Minimum of 2 years expertise or advanced statistical modeling, machine learning, data mining, unstructured data analytics in corporate and/or academic research environments
- Minimum 2 years of developing machine learning methods, including familiarity with techniques in clustering, regression, optimization, recommendation, neural networks, and other
- Strong quantitative and analytical skills with minimum 2 years of experience with data science tools, including Python, R, Scala, Julia, or SAS
- Bachelor’s or Master’s degree in quantitative field, Engineering, Computer Science, Physics, Applied Mathematics, Statistics, Economics or related fields
Bonus points if:
- Experience working in telecom, wireless/wireline, media, or technology companies
- Passionate, creative, and forward thinking
- 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
- Possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients
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