Experience deploying machine learning or generative and agentic AI solutions into production ... Work you'll do As a Finance Analytics & AI Senior Consultant, you'll work with the best in the ...
Experience deploying machine learning or generative and agentic AI solutions into production ... Work you'll do As a Finance Analytics & AI Senior Consultant, you'll work with the best in the ...
Teach graduate courses in the online Master's in Sports Analytics program as assigned. * Develop ... Participate in student recruitment, retention, and experiential learning opportunities, including ...
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Teach graduate courses in the online Master's in Sports Analytics program as assigned. * Develop ... Participate in student recruitment, retention, and experiential learning opportunities, including ...
New
Machine Learning Tutor
Louisville, KY · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Louisville, KY · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Lexington, KY · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Lexington, KY · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Senior Machine Learning Engineer
Lexington, KY · Hybrid
$103K - $142K/yr
Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right ... You're comfortable working with SQL and/or NoSQL, understand database design, and data analysis
Senior Machine Learning Engineer
Lexington, KY · Hybrid
$103K - $142K/yr
Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right ... You're comfortable working with SQL and/or NoSQL, understand database design, and data analysis
Senior Machine Learning Engineer
Lexington, KY · On-site
$103K - $142K/yr
Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right ... You're comfortable working with SQL and/or NoSQL, understand database design, and data analysis
Senior Machine Learning Engineer
Lexington, KY · On-site
$103K - $142K/yr
Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right ... You're comfortable working with SQL and/or NoSQL, understand database design, and data analysis
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
A strong emphasis is placed on delivering a student-centered learning experience that integrates statistical theory, data analysis, and applied sport science with real-world practice in a modern ...
A strong emphasis is placed on delivering a student-centered learning experience that integrates statistical theory, data analysis, and applied sport science with real-world practice in a modern ...
Senior Manager - Pricing Analytics - Erlanger, KY
Erlanger, KY · On-site
$92K - $172K/yr
Bachelor's Degree in Business Analytics, Statistics, Computer Science, Physics, or related field8+ years of experience performing data analytics, machine learning, and predictive modeling ...
Senior Manager - Pricing Analytics - Erlanger, KY
Erlanger, KY · On-site
$92K - $172K/yr
Bachelor's Degree in Business Analytics, Statistics, Computer Science, Physics, or related field8+ years of experience performing data analytics, machine learning, and predictive modeling ...
Sports Analytics Machine Learning information
What is sports analytics machine learning?
Sports analytics machine learning is the application of data science and machine learning techniques to analyze sports data, such as player statistics, game outcomes, and biometric information. Professionals in this field develop models to identify patterns, predict player performance, optimize team strategies, and gain competitive advantages. This work involves collecting large datasets, cleaning and processing data, and using algorithms to extract actionable insights that can benefit teams, coaches, and athletes. Sports analytics with machine learning is increasingly used in professional sports to inform decisions about training, recruitment, and game tactics.
How do Sports Analytics Machine Learning professionals typically collaborate with coaches and athletes to impact game strategy?
Sports Analytics Machine Learning professionals often work closely with coaches and athletes by translating complex data insights into practical recommendations. They attend strategy meetings, present findings through visualizations, and help interpret trends that can influence training, player selection, and in-game tactics. Effective communication is key, as these professionals must bridge the gap between technical analyses and real-world sports applications. This collaborative environment not only enhances team performance but also provides opportunities to see the direct impact of your work on the field.
What are the key skills and qualifications needed to thrive as a Sports Analytics Machine Learning Specialist, and why are they important?
To thrive as a Sports Analytics Machine Learning Specialist, you need a strong background in statistics, data analysis, programming (typically in Python or R), and an understanding of machine learning algorithms, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools, sports databases, and machine learning frameworks like TensorFlow or scikit-learn is essential, along with experience using SQL and data pipelines. Strong problem-solving, communication, and collaboration skills help translate complex data findings into actionable insights for coaches, players, and stakeholders. These skills are crucial for extracting meaningful patterns from vast sports datasets and driving performance improvements or strategic decisions within sports organizations.
What are popular job titles related to Sports Analytics Machine Learning jobs in Kentucky? For Sports Analytics Machine Learning jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Sports Analytics Machine Learning jobs in Kentucky look for? The top searched job categories for Sports Analytics Machine Learning jobs in Kentucky are:
What cities in Kentucky are hiring for Sports Analytics Machine Learning jobs? Cities in Kentucky with the most Sports Analytics Machine Learning job openings:
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
55th of 139 rated financial services
Job description
In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.
Recruiting for this role ends on 09/14/2026.
Work you'll do
As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.
- Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
- Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
- Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
- Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
- Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications
- Identify delivery risks, track dependencies, and support project execution across cross-functional teams
A successful candidate would possess these skills:
- 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 provide clear guidance to others
The team
Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.
Qualifications
Required:
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
- 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
- Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
- Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
- Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
- Experience deploying machine learning or generative and agentic AI solutions into production environments
- Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
- Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
- Experience with Tableau or Microsoft Power BI
The wage range for this role takes into account the wide range of factors that are 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 $116,200-$229,100.
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.
Qualifications:In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.
Recruiting for this role ends on 09/14/2026.
Work you'll do
As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.
- Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
- Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
- Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
- Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
- Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications
- Identify delivery risks, track dependencies, and support project execution across cross-functional teams
A successful candidate would possess these skills:
- 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 provide clear guidance to others
The team
Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.
Qualifications
Required:
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
- 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
- Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
- Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
- Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
- Experience deploying machine learning or generative and agentic AI solutions into production environments
- Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
- Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
- Experience with Tableau or Microsoft Power BI
The wage range for this role takes into account the wide range of factors that are 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 $116,200-$229,100.
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.
Education:Bachelor's DegreeEmployment Type: