Machine Learning Intern
$27 - $42/hr
... change management controls for risk and compliance policies Presenting work clearly to technical and non-technical audiences Relevant majors and areas of expertise Data Science Computer Science ...
Machine Learning Intern
$27 - $42/hr
... change management controls for risk and compliance policies Presenting work clearly to technical and non-technical audiences Relevant majors and areas of expertise Data Science Computer Science ...
Machine Learning Intern
Miami, FL · On-site
$27 - $42/hr
... change management controls for risk and compliance policies Presenting work clearly to technical and non-technical audiences Relevant majors and areas of expertise Data Science Computer Science ...
Machine Learning Intern
Miami, FL · On-site
$27 - $42/hr
... change management controls for risk and compliance policies Presenting work clearly to technical and non-technical audiences Relevant majors and areas of expertise Data Science Computer Science ...
Machine Learning Intern
Tampa, FL · On-site
$27 - $42/hr
... change management controls for risk and compliance policies Presenting work clearly to technical and non-technical audiences Relevant majors and areas of expertise Data Science Computer Science ...
Machine Learning Intern
Tampa, FL · On-site
$27 - $42/hr
... change management controls for risk and compliance policies Presenting work clearly to technical and non-technical audiences Relevant majors and areas of expertise Data Science Computer Science ...
Machine Learning Intern
Fort Lauderdale, FL · On-site
$27 - $42/hr
... change management controls for risk and compliance policies Presenting work clearly to technical and non-technical audiences Relevant majors and areas of expertise Data Science Computer Science ...
Machine Learning Intern
Fort Lauderdale, FL · On-site
$27 - $42/hr
... change management controls for risk and compliance policies Presenting work clearly to technical and non-technical audiences Relevant majors and areas of expertise Data Science Computer Science ...
Machine Learning Intern
Miami, FL · On-site
$27 - $42/hr
... change management controls for risk and compliance policies Presenting work clearly to technical and non-technical audiences Relevant majors and areas of expertise Data Science Computer Science ...
Machine Learning Intern
Miami, FL · On-site
$27 - $42/hr
... change management controls for risk and compliance policies Presenting work clearly to technical and non-technical audiences Relevant majors and areas of expertise Data Science Computer Science ...
Machine Learning Intern
$27 - $42/hr
... change management controls for risk and compliance policies Presenting work clearly to technical and non-technical audiences Relevant majors and areas of expertise Data Science Computer Science ...
Machine Learning Intern
$27 - $42/hr
... change management controls for risk and compliance policies Presenting work clearly to technical and non-technical audiences Relevant majors and areas of expertise Data Science Computer Science ...
Manage and analyze large datasets * Lead the development and implementation of machine learning solutions * Collaborate with cross-functional teams to identify and solve complex business problems
Manage and analyze large datasets * Lead the development and implementation of machine learning solutions * Collaborate with cross-functional teams to identify and solve complex business problems
Lead Machine Learning Engineer
Davie, FL · On-site
$93K - $123K/yr
Machine Learning Development: * Design, develop, train, and deploy machine learning models and ... Strong understanding of feature engineering and ML lifecycle management * Experience partnering ...
New
Lead Machine Learning Engineer
Davie, FL · On-site
$93K - $123K/yr
Machine Learning Development: * Design, develop, train, and deploy machine learning models and ... Strong understanding of feature engineering and ML lifecycle management * Experience partnering ...
New
The ideal candidate will be responsible for leading the development and implementation of machine learning solutions while managing and analyzing large datasets. Responsibilities : • Develop and ...
The ideal candidate will be responsible for leading the development and implementation of machine learning solutions while managing and analyzing large datasets. Responsibilities : • Develop and ...
You won't be on your own on day one, but you will need the capacity to manage your time between ... Working within a finance and accounting firm, recognize and appropriately escalate risks and ...
You won't be on your own on day one, but you will need the capacity to manage your time between ... Working within a finance and accounting firm, recognize and appropriately escalate risks and ...
You won't be on your own on day one, but you will need the capacity to manage your time between ... Working within a finance and accounting firm, recognize and appropriately escalate risks and ...
You won't be on your own on day one, but you will need the capacity to manage your time between ... Working within a finance and accounting firm, recognize and appropriately escalate risks and ...
You won't be on your own on day one, but you will need the capacity to manage your time between ... Working within a finance and accounting firm, recognize and appropriately escalate risks and ...
You won't be on your own on day one, but you will need the capacity to manage your time between ... Working within a finance and accounting firm, recognize and appropriately escalate risks and ...
You won't be on your own on day one, but you will need the capacity to manage your time between ... Working within a finance and accounting firm, recognize and appropriately escalate risks and ...
You won't be on your own on day one, but you will need the capacity to manage your time between ... Working within a finance and accounting firm, recognize and appropriately escalate risks and ...
You won't be on your own on day one, but you will need the capacity to manage your time between ... Working within a finance and accounting firm, recognize and appropriately escalate risks and ...
You won't be on your own on day one, but you will need the capacity to manage your time between ... Working within a finance and accounting firm, recognize and appropriately escalate risks and ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
Manager Machine Learning Finance information
What does a manager of machine learning in finance do?
A Manager of Machine Learning in Finance oversees teams that develop and implement machine learning models to solve financial problems, such as risk assessment, fraud detection, and algorithmic trading. They coordinate with data scientists, engineers, and business stakeholders to ensure models meet regulatory standards and align with company goals. Additionally, they are responsible for project management, mentoring team members, and staying updated with advancements in both finance and artificial intelligence.
How does a manager of machine learning in finance typically collaborate with cross-functional teams?
A Manager of Machine Learning in Finance often works closely with data scientists, software engineers, financial analysts, and business stakeholders. They are responsible for translating business problems into machine learning solutions and ensuring models meet both technical and regulatory requirements. Regular meetings and clear communication are essential, as the manager must align team efforts with organizational goals, facilitate knowledge sharing, and integrate model outputs into financial decision-making processes. Collaboration also involves coordinating with IT for data infrastructure and with compliance teams to uphold data privacy standards.
What are the key skills and qualifications needed to thrive as a manager of machine learning in finance, and why are they important?
To thrive as a Manager of Machine Learning in Finance, you need strong expertise in machine learning, statistics, and financial analysis, typically supported by a relevant advanced degree and experience in both data science and finance. Familiarity with programming languages like Python or R, cloud platforms, and machine learning frameworks such as TensorFlow or Scikit-learn is essential, along with knowledge of regulatory compliance systems. Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling effective team management and cross-functional collaboration. These skills and qualities are crucial to drive innovative solutions, ensure regulatory adherence, and deliver business value in a complex financial environment.
What is the difference between Manager Machine Learning Finance vs Data Scientist Finance?
| Aspect | Manager Machine Learning Finance | Data Scientist Finance |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Data Science, or Finance; certifications in machine learning or data analysis | Bachelor's or Master's in Data Science, Statistics, or related fields; often includes certifications in data analysis or programming |
| Work Environment | Leads teams, manages projects, collaborates with stakeholders in finance | Analyzes data, develops models, supports decision-making in finance teams |
| Employer & Industry Usage | Financial institutions, hedge funds, investment firms | Financial firms, banks, fintech companies |
The Manager Machine Learning Finance oversees teams and projects applying machine learning to finance problems, focusing on leadership and strategy. In contrast, Data Scientists in finance primarily analyze data and develop models to support financial decisions. Both roles require strong technical skills, but the manager role emphasizes team management and project oversight.
Can manager machine learning finance be used in finance?
A Manager of Machine Learning in Finance oversees the development and implementation of machine learning models to improve financial analysis, risk management, and trading strategies. This role involves skills in data science, programming, and finance, and is used to enhance decision-making processes and automate tasks within financial institutions.
What are the most commonly searched types of Machine Learning Finance jobs in Florida?
The most popular types of Machine Learning Finance jobs in Florida are:
What cities in Florida are hiring for Manager Machine Learning Finance jobs?
Cities in Florida with the most Manager Machine Learning Finance job openings:
Job description
Your Journey at Crowe Starts Here:
At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.
Job Description:
Role Summary
The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the internship, functional and demonstrable progress has been made in a way that can be integrated into the functional portfolio of the team.
Important: the data science internship does not necessarily transition to a full-time role at the end of the period. Depending on team need, firm budget, and fit, interns should not expect their time to conclude with an offer.
Here are some example projects that may be prioritized for an internship:
Anomaly detection using deep neural networks
Numerical optimization applied to problems in manufacturing
Personal identifiable information (PII) and personal health information (PHI) detection in natural language
Areas of Focus
The data science internship is intended to expose the intern to what it means to do data science on a team in an enterprise setting. To that end, there are three major components with which an intern should expect to engage.
Modeling
Understanding how to frame business problems as data science problems
Navigating the full data science lifecycle: research and exploration, development, deployment, support
Using correct model selection and training procedures to prevent common modeling errors
Creating reasonable test scenarios and diagnostic measures
Software Development
Writing high quality Python (readable, reusable, modular, and well-abstracted code)
Using Linux, the terminal, and other core development tools
Understanding source control (git), containerization (docker) and deployment technologies (cicd/k8s)
Participating in code reviews
Business Value and Processes
Contributing to team development processes and agile/scrum rituals
Helping to clarify and prioritize work, define success criteria, and own work item completion
Applying all relevant change management controls for risk and compliance policies
Presenting work clearly to technical and non-technical audiences
Relevant majors and areas of expertise
Data Science
Computer Science
Mathematics
Natural or Social Sciences
Relevant additional backgrounds also considered
The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the internship, functional and demonstrable progress has been made in a way that can be integrated into the functional portfolio of the team.
Important: the data science internship does not necessarily transition to a full-time role at the end of the period. Depending on team need, firm budget, and fit, interns should not expect their time to conclude with an offer.
Here are some example projects that may be prioritized for an internship:
Anomaly detection using deep neural networks
Numerical optimization applied to problems in manufacturing
Personal identifiable information (PII) and personal health information (PHI) detection in natural language
Areas of Focus
The data science internship is intended to expose the intern to what it means to do data science on a team in an enterprise setting. To that end, there are three major components with which an intern should expect to engage.
Modeling
Understanding how to frame business problems as data science problems
Navigating the full data science lifecycle: research and exploration, development, deployment, support
Using correct model selection and training procedures to prevent common modeling errors
Creating reasonable test scenarios and diagnostic measures
Software Development
Writing high quality Python (readable, reusable, modular, and well-abstracted code)
Using Linux, the terminal, and other core development tools
Understanding source control (git), containerization (docker) and deployment technologies (cicd/k8s)
Participating in code reviews
Business Value and Processes
Contributing to team development processes and agile/scrum rituals
Helping to clarify and prioritize work, define success criteria, and own work item completion
Applying all relevant change management controls for risk and compliance policies
Presenting work clearly to technical and non-technical audiences
Relevant majors and areas of expertise
Data Science
Computer Science
Mathematics
Natural or Social Sciences
Relevant additional backgrounds also considered
Essential Job Functions:
Anomaly detection using deep neural networks
Numerical optimization applied to problems in manufacturing
Personal identifiable information (PII) and personal health information (PHI) detection in natural language
Understanding how to frame business problems as data science problems
Navigating the full data science lifecycle: research and exploration, development, deployment, support
Using correct model selection and training procedures to prevent common modeling errors
Creating reasonable test scenarios and diagnostic measures
Writing high quality Python (readable, reusable, modular, and well-abstracted code)
Using Linux, the terminal, and other core development tools
Understanding source control (git), containerization (docker) and deployment technologies (cicd/k8s)
Participating in code reviews
Contributing to team development processes and agile/scrum rituals
Helping to clarify and prioritize work, define success criteria, and own work item completion
Applying all relevant change management controls for risk and compliance policies
Presenting work clearly to technical and non-technical audiences
We expect the candidate to uphold Crowe's values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.
Crowe accepts applications for this role on an ongoing basis.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time.
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 Crowe, 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 $27.00 - $42.00 per hour.Our Benefits:
Your exceptional people experience starts here. At Crowe, we know that great peopleare what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!
How You Can Grow:
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!
More about Crowe:
Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.
Crowe LLP and Crowe Advisory LLC (and their respective subsidiary entities) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.
Crowe LLP and Crowe Advisory LLC (and their respective subsidiary entities) does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.
Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act.
Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.
We are committed to a merit-based hiring process, evaluating all candidates consistently using objective, job-related criteria such as relevant experience, demonstrated skills, measurable impact, and alignment with the role's responsibilities, and making employment decisions in a fair and inclusive manner free from discrimination.
If you are interested in applying for employment with Crowe and are in need of an accommodation or require special assistance to navigate our website or to complete your application, please visit our Applicant Assistance and Accommodations page for more information: https://careers.crowe.com/crowe-applicant-assistance-and-accommodation
About Crowe
Sourced by ZipRecruiter
Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.
Industry
Accounting services
Company size
1,001 - 5,000 Employees
Headquarters location
Chicago, IL, US