EY - GDS Consulting - D And A - Campus

Ernst & Young; Chennai; On-site; INR 8,00,000 - 15,00,000; Full time

Job summary

Ernst & Young is seeking Campus Hires for Data Scientist and Machine Learning Engineer roles. Ideal candidates must have a strong academic background in Data Science and experience in deploying machine learning models. Responsibilities include developing AI solutions and conducting data analysis to derive insights using various technologies. This role offers a chance for impactful contributions in a collaborative environment, shaping the future of technology at EY.

Qualifications

• Minimum one academic project in Data Science and Machine Learning.
• Excellent academic record in each semester.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.

Responsibilities

• Design and develop AI solutions.
• Collaborate with stakeholders to define project goals.
• Ensure compliance with data privacy and ethical considerations.

Skills

Machine Learning

Deep Learning

Generative AI

Statistical Analysis

Data Interpretation

Programming (Python, R)

Education

Bachelor's or Master’s in Data Science, AI/ML, Statistics, Economics, or related fields

Tools

TensorFlow

PyTorch

Job description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

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Job Description: Campus Hires for Data Scientist / Machine Learning Engineer

Role Overview:

• We are seeking highly talented individuals with strong academic credentials in Data Science specialization areas. Good exposure to the data science lifecycle with academic project experience on examining, statistically interpreting, and deriving meaningful insights from large datasets.
• Your responsibilities include extracting and processing information to find patterns and trends, analyzing data using technology, and creating solutions with machine learning algorithms or predictive models. You will play a key role in developing and implementing AI solutions, leveraging your technical expertise.
• The ideal candidate should have a deep understanding of AI technologies, the latest trends, and cutting-edge AI model capabilities.

Responsibilities:

Your technical responsibilities:

• Contribute to the design and development of state-of-the-art AI solutions.
• Communicate effectively with stakeholders to define and implement AI project goals.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluate advanced AI techniques.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs.

Requirements:

• Bachelor's or Master’s degree in Engineering (or equivalent) with specialization in Data Science, AI/ML, Statistics, Economics, or related fields.
• Minimum one academic project in Data Science and Machine Learning.
• Excellent academic record in each semester.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.

Good to Have Skills:

• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Exposure to AI cloud platforms.
• Participation in AI forums (internal or external).
• Strong coding standards followed in Git repositories.

Job Description: Intern for Data Scientist / Machine Learning Engineer

Role Overview:

• We are seeking highly talented individuals with strong academic credentials in Data Science specialization areas. Good exposure to the data science lifecycle with academic project experience on examining, statistically interpreting, and deriving meaningful insights from large datasets.
• Your responsibilities include extracting and processing information to find patterns and trends, analyzing data using technology, and creating solutions with machine learning algorithms or predictive models. You will play a key role in developing and implementing AI solutions, leveraging your technical expertise.
• The ideal candidate should have a deep understanding of AI technologies, the latest trends, and cutting-edge AI model capabilities.

Responsibilities:

Your technical responsibilities:

• Contribute to the design and build of state-of-the-art AI solutions.
• Communicate effectively with stakeholders to define and implement AI project goals.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluate advanced AI techniques.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs.

Requirements:

• Bachelor's or Master’s degree in Engineering (or equivalent) with specialization in Data Science, AI/ML, Statistics, Economics, or related fields.
• Current students in their last or second last semester.
• Excellent academic record in each semester.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.

Good to Have Skills:

• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Exposure to AI cloud platforms.
• Participation in AI forums (internal or external).
• Strong coding standards followed in Git repositories.

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EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people, and society, and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate.

Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.