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Full Time Machine Learning Finance Jobs in Shannon, MS

Knowledge of machine learning or AI applications in credit risk management. * Strong leadership and ... Strong financial acumen and ability to drive profitability. * Effective communication and ...

Knowledge of machine learning or AI applications in credit risk management. * Strong leadership and ... Strong financial acumen and ability to drive profitability. * Effective communication and ...

Knowledge of machine learning or AI applications in credit risk management. * Strong leadership and ... Strong financial acumen and ability to drive profitability. * Effective communication and ...

Knowledge of machine learning or AI applications in credit risk management. * Strong leadership and ... Strong financial acumen and ability to drive profitability. * Effective communication and ...

Stocking Team Associate

Tupelo, MS · On-site

$14 - $27/hr

Employment Type: Full-Time Available shifts: Mid-Shift, Closing, Overnight Location Walmart ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

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Showing results 1-20

Full Time Machine Learning Finance information

See Shannon, MS salary details

$23.7K

$87.8K

$128.4K

How much do full time machine learning finance jobs pay per year?

As of Aug 9, 2026, the average yearly pay for full time machine learning finance in Shannon, MS is $87,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $103,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full time machine learning finance professional?

To thrive as a Full Time Machine Learning Finance professional, you need a solid background in quantitative analysis, statistics, computer science, and finance, usually supported by a relevant degree. Proficiency with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with financial data systems are essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you stand out in this field. These skills ensure the successful development and deployment of data-driven financial models that support better decision-making and risk management.

What is a full time machine learning finance professional?

A Full Time Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems. Professionals in this role develop predictive models for tasks such as risk assessment, trading strategies, fraud detection, and portfolio optimization. They work closely with financial analysts and data scientists to create solutions that can automate processes, improve decision-making, and identify patterns in large datasets. The role typically requires strong knowledge of both finance and advanced machine learning methods, as well as programming and data analysis skills.

What is the difference between Full Time Machine Learning Finance vs Full Time Data Scientist?

AspectFull Time Machine Learning FinanceFull Time Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of finance and machine learning certificationsDegree in Statistics, Computer Science, or related fields; data analysis and programming skills
Work EnvironmentFinancial institutions, hedge funds, banks, fintech companiesTech companies, consulting firms, finance, healthcare, retail
Industry UsageFinance-specific applications like risk modeling, algorithmic tradingBroad industry applications including marketing, healthcare, finance

Full Time Machine Learning Finance roles focus on applying machine learning techniques specifically to financial data and problems within financial institutions. In contrast, Full Time Data Scientist positions have a broader scope across various industries, utilizing data analysis and modeling skills to solve diverse business challenges. While both roles require strong technical skills, the finance-specific role emphasizes financial knowledge and applications.

What are some common challenges faced by machine learning professionals working in the finance sector?

Machine learning professionals in finance often encounter challenges such as dealing with sensitive and highly regulated data, ensuring model transparency and explainability for compliance purposes, and adapting to rapidly changing market conditions. Additionally, integrating machine learning models with existing financial systems and collaborating closely with domain experts, such as quantitative analysts and risk managers, are key parts of the role. Staying updated on both technological advancements and regulatory changes is also essential for success in this dynamic environment.
Infographic showing various Full Time Machine Learning Finance job openings in Shannon, MS as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $87,797 per year, or $42.2 per hour.

$99K - $225K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

Data Scientist, Senior
The Opportunity:
As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data.
On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the develop ment of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.
Work with us as we use data science for good.
Join us. The world can't wait.
You Have:
  • 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • 5+ years of experience with statistical and general-purpose programming languages for data analysis
  • 5+ years of experience programming in languages such as Python, R, SQL, SAS, or MATLAB
  • Experience analyzing structured and unstructured data sources
  • Experience develop ing predictive data models, quantitative analyses and visualization of targeted data sources
  • Experience with distributed or big data ecosystems such as Spark, Databricks, ElasticSearch, or NiFi
  • Knowledge of Machine Learning, Artifi cia l Intelligence, or Natural Language Processing
  • Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience working with ADVANA, including enterprise data integration, curated layers, and mission centric dashboard
  • Experience with the Maven Smart System ( MSS ) , including analytics for C2 operations, geospatial workflows, AI / ML integration, or FMV or imagery pipelines
  • Experience develop ing analytics or data applications in Palantir Foundry or Gotham, espe cia lly within DoD environments
  • Experience with data-sources related to met eorology, oceanography, and environmental intelligence
  • Experience supporting Combatant Commands or other operational DoD customers
  • Experience deploying analytic or ML workflows in multi classification or secure cloud environments
  • Experience with enterprise BI or visualization tools such as Tableau, Power BI, or Qlik
  • Experience with visualization packages, including Plotly, Seaborn, or ggplot2

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914