S&C Global Network - AI - Industrial - Consultant Data Science

Accenture

Entity: - Accenture Strategy & Consulting

Team: - Global Network – Data & AI

Practice: - Industrial Practice

Title: - Ind & Func AI Decision Science Consultant

Job location: - Bangalore, Gurgaon, Hyderabad, Chennai, Pune

About S&C - Global Network: -

Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition.

WHAT’S IN IT FOR YOU?

  • We are seeking a skilled and experienced Data Scientist to join our Industrial practice.
  • The ideal candidate should have hands-on experience in data science within industries such as manufacturing, engineering services, industrial & heavy equipment, construction, and consumer durables.
  • As a Data Scientist, you will be responsible for developing AI models/applying GenAI techniques in areas such as predictive asset maintenance, production optimization, smart mobility, battery management systems, and connected products.

What you would do in this role

  • Develop and implement AI models to address business challenges in manufacturing, industrial equipment, engineering services, and related industries.
  • Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments.
  • Utilize your expertise in MES/PLM/ERP/Historian systems to integrate data sources and ensure seamless operation of AI solutions.
  • Design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques.
  • Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems.
  • Leverage cloud platforms, with preference for Azure, and experience with GCP/AWS is also valued.
  • Stay updated on emerging technologies and industry trends, contributing to continuous improvement initiatives within the organization.

Who we are looking for?

  • Bachelor’s or master’s degree in Statistics / Economics / Mathematics /Computer Science or MBA in Data Science related disciplines from Premier Colleges
  • 3-8 years of hands-on experience in data science, with a focus on industries mentioned above.
  • Proven track record of developing AI models in areas such as predictive maintenance, production optimization, and connected products.
  • Strong proficiency in Python programming, with experience in NLP and Computer Vision.
  • Exposure to MES/PLM/ERP/Historian systems and understanding of their integration with AI solutions.
  • Experience with cloud platforms, preferably Azure, and familiarity with GCP/AWS.
  • Knowledge of LLM exposure and experience with tools such as ChatGPT, Llama 2, Claude 2, Hugging Face, etc., will be an advantage.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

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Confirmed 7 hours ago. Posted 30+ days ago.

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