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Internship Machine Learning Quant Jobs in Tennessee

Lead Generative AI Data Engineer III

Nashville, TN · On-site

$99K - $130K/yr

... quantitative field. * 7+ years of professional experience. * 5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions ...

Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

The position focuses on data analytics, computational genomics, machine learning, and the ... D. in either computer science, bioinformatics, quantitative science, computational biology, or ...

Specialized Analytics Senior Analyst

Johnson City, TN · On-site

$82K - $104K/yr

Bachelor's Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline. Master's Degree or PhD preferred. 3+ years in data science, machine learning ...

Senior Data Scientist

Nashville, TN · On-site

$100K - $209K/yr

Stay current on advances in statistics, machine learning, and data science; assess and apply ... a related quantitative field. * Strong foundation in probability, statistical inference ...

Quantitative Modeler Manager - AML

Knoxville, TN · On-site

$52.25 - $67.75/hr

The candidate must be able to demonstrate expertise in true machine learning modeling approaches ... Basic Qualificati ons - Bachelor's degree in a quantitative field, and 10 or more years of relevant ...

The candidate must be able to demonstrate expertise in true machine learning modeling approaches ... Basic Qualificati ons - Bachelor's degree in a quantitative field, and 10 or more years of relevant ...

This is not a traditional internship. You'll own a research problem end-to-end: framing the ... Strong foundations in modern machine learning, including deep learning, optimization ...

This is not a traditional internship. You'll own a research problem end-to-end: framing the ... Strong foundations in modern machine learning, including deep learning, optimization ...

Showing results 41-60

Internship Machine Learning Quant information

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are the most commonly searched types of Machine Learning Quant jobs in Tennessee?

The most popular types of Machine Learning Quant jobs in Tennessee are:

What are popular job titles related to Internship Machine Learning Quant jobs in Tennessee?

For Internship Machine Learning Quant jobs in Tennessee, the most frequently searched job titles are:

What cities in Tennessee are hiring for Internship Machine Learning Quant jobs?

Cities in Tennessee with the most Internship Machine Learning Quant job openings:

Lead Generative AI Data Engineer III

Nashville, TN • On-site

Deloitte
Finance and Insurance • 10K+ employees

$99K - $130K/yr

Full-time

Re-posted 25 days ago


Key responsibilities

  • Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.

  • Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team.

  • Develop and oversee data pipelines, model training workflows, and production-grade application components that support AI-enabled products.


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services


Job description


Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a Lead AI and Data Science Engineer II on the team, you will be responsible for:

  • Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.
  • Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team.
  • Develop and oversee data pipelines, model training workflows, and production-grade application components that support AI-enabled products.
  • Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.
  • Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability.
Skills for Success
  • Ability to work independently and collaborate as part of a team.
  • Effective written and verbal communication skills.
  • Meticulous attention to detail and quality of work product.
  • Ability to build and sustain professional relationships.
  • Ability to lead projects or workstreams.
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
  • Strong interpersonal skills and professional demeanor.
  • Ability to meet deadlines.
  • Ability to mentor and provide clear guidance to others.
The Team

Deloitte's Government & Public Services (GPS) practice-our people, ideas, technology, and outcomes-is designed for impact. Serving federal, state, and local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance, and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • 7+ years of professional experience.
  • 5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.
  • 3+ years of experience programming in Python, Pyspark, Pytorch, and Tensorflow.
  • 2+ years of technology consulting experience in the State Government or Local Government space.
  • 2+ years of experience leading technical teams, projects, or workstreams supporting artificial intelligence or machine learning solution delivery.
  • 1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI.
  • Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow.
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred
  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • Active US Government security clearance.
  • 2+ years of experience deploying machine learning models into production environments.
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions.
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes.
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes.

The wage range for this role takes into account a wide range of factors considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.

At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $159,100 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

ai&e fy27 profile

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a Lead AI and Data Science Engineer II on the team, you will be responsible for:

  • Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.
  • Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team.
  • Develop and oversee data pipelines, model training workflows, and production-grade application components that support AI-enabled products.
  • Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.
  • Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability.
Skills for Success
  • Ability to work independently and collaborate as part of a team.
  • Effective written and verbal communication skills.
  • Meticulous attention to detail and quality of work product.
  • Ability to build and sustain professional relationships.
  • Ability to lead projects or workstreams.
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
  • Strong interpersonal skills and professional demeanor.
  • Ability to meet deadlines.
  • Ability to mentor and provide clear guidance to others.
The Team

Deloitte's Government & Public Services (GPS) practice-our people, ideas, technology, and outcomes-is designed for impact. Serving federal, state, and local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance, and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • 7+ years of professional experience.
  • 5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.
  • 3+ years of experience programming in Python, Pyspark, Pytorch, and Tensorflow.
  • 2+ years of technology consulting experience in the State Government or Local Government space.
  • 2+ years of experience leading technical teams, projects, or workstreams supporting artificial intelligence or machine learning solution delivery.
  • 1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI.
  • Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow.
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred
  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • Active US Government security clearance.
  • 2+ years of experience deploying machine learning models into production environments.
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions.
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes.
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes.

The wage range for this role takes into account a wide range of factors considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.

At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $159,100 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

ai&e fy27 profile

Education:Bachelor's DegreeEmployment Type:

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