S&C Global Network - AI - Hi Tech - Data Science Consultant at Accenture

Gurugram, Haryana, India

Accenture Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, Enterprise Technology, Consumer Technology, Medical Technology, Hi-TechIndustries

Requirements

  • 8-10 years of experience
  • Any Degree
  • Hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, medical technology
  • Proven track record of developing AI models in areas such as channel analytics, marketing & customer experience, supply chain analytics, predictive maintenance, production optimization, and connected products
  • Strong proficiency in Python programming, with experience in NLP and Computer Vision
  • Exposure to PLM/ERP/CRM/Contact Center systems and understanding of their integration with AI solutions
  • Experience with cloud platforms, preferably Azure/GCP, and familiarity with AWS
  • Knowledge of LLM exposure and experience with tools such as ChatGPT, Llama 2, Claude 2, Hugging Face for prompt engineering, prompt tuning (advantageous)
  • Strong analytical, problem-solving, and communication skills
  • Ability to work in a fast-paced, dynamic environment
  • Must-have: Data Science
  • Good to have: Ability to leverage design thinking, business process optimization, and stakeholder management skills

Responsibilities

  • Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance
  • Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries
  • Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments
  • Develop and implement GenAI based solutions – through contextual prompt engineering and prompt tuning – and supporting solution architects on the design of GenAI-powered solutions/assets
  • Utilize expertise in PLM/ERP/CRM/Contact Center 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/GCP
  • Stay updated on emerging technologies and industry trends, contributing to continuous improvement initiatives
  • Drive strategic initiatives, manage business transformations, and leverage industry expertise to create value-driven solutions

Skills

Data Science
Python
NLP
Computer Vision
GenAI
Prompt Engineering
Prompt Tuning
Machine Learning
PLM
ERP
CRM

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters
1989Year Founded
$8.5MTotal Funding
IPOCompany Stage
Consulting, Enterprise Software, CybersecurityIndustries
10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.
Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.
The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.
The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.
Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.
The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.
Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

Land your dream remote job 3x faster with AI