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Data Scientist Fraud Detection Jobs in Indiana (NOW HIRING)

Developing and maintaining data science models, detection analytics, and behavioral algorithms for ... SIEM, EDR, UEBA, and fraud analytics platforms experience preferred. * Scripting and programming ...

Developing and maintaining data science models, detection analytics, and behavioral algorithms for ... SIEM, EDR, UEBA, and fraud analytics platforms experience preferred. * Scripting and programming ...

GCP Architect

Columbus, IN · On-site

$59.25 - $76.25/hr

... Fraud Detection, Risk Management, AML, KYC, Regulatory Compliance, Data Compliance, Operationalizing AI/ML Models, Cross-Functional Collaboration, Data Science, Risk Analytics, Enterprise Solutions

Senior Data Scientist

Columbus, IN · On-site

$80K - $90K/yr

Senior Data Scientist Location: (Remote / Hybrid / On-site - City, Country) Columbus, IN Employment ... detection. • Hands-on knowledge of data visualization tools like Tableau, Power BI, or D3.js. • ...

New

Risk Systems Analyst

Evansville, IN · On-site

$70 - $100/hr

Day in the Life - You'll spend your day monitoring fraud and AML/CFT detection systems, analyzing ... Bachelor's degree in business, finance, accounting, information systems, data analytics, criminal ...

Risk Systems Analyst

Jasper, IN · On-site

$70 - $95/hr

Day in the Life - You'll spend your day monitoring fraud and AML/CFT detection systems, analyzing ... Bachelor's degree in business, finance, accounting, information systems, data analytics, criminal ...

Collaborate with engineering, product, and data science teams to understand requirements ... Advanced Anomaly Detection with Graph: Track record developing hybrid graph-temporal approaches (e ...

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Data Scientist Fraud Detection information

What does a data scientist in fraud detection do?

A Data Scientist in Fraud Detection analyzes large datasets to identify patterns and anomalies that could indicate fraudulent activities. They use machine learning algorithms, statistical models, and data mining techniques to detect and prevent fraud in areas like banking, insurance, and e-commerce. Their work helps organizations proactively combat fraud by developing predictive models and automated systems that flag suspicious transactions. Additionally, they often collaborate with other departments to refine detection strategies and ensure compliance with regulations.

What are the key skills and qualifications needed to thrive as a data scientist in fraud detection?

To thrive as a Data Scientist in Fraud Detection, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with big data tools (e.g., Hadoop, Spark), and knowledge of fraud detection platforms are essential. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this field. These skills and qualities are crucial for identifying fraudulent activities quickly and accurately, minimizing financial losses, and supporting organizational security.

How does a data scientist in fraud detection typically collaborate with other teams to develop effective solutions?

As a Data Scientist in Fraud Detection, you will regularly collaborate with cross-functional teams such as fraud analysts, software engineers, and product managers. Working closely with fraud analysts helps you understand emerging fraud patterns, while partnering with engineers ensures your models are effectively integrated into real-time systems. You may also coordinate with compliance and legal teams to ensure solutions meet regulatory requirements. This collaborative approach not only improves the accuracy and impact of fraud detection models but also fosters a dynamic, supportive work environment.

What is the difference between Data Scientist Fraud Detection vs Data Analyst Fraud Detection?

AspectData Scientist Fraud DetectionData Analyst Fraud Detection
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL
Work EnvironmentDeveloping models, advanced analytics, machine learning tasksData cleaning, reporting, basic analysis
Employer & Industry UsageFinancial institutions, e-commerce, insurance

Data Scientist Fraud Detection focuses on building predictive models and applying machine learning techniques to identify fraud patterns. Data Analysts Fraud Detection primarily perform data cleaning, reporting, and basic analysis to support fraud detection efforts. While both roles work in similar industries, Data Scientists handle more complex modeling, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Data Scientist Fraud Detection jobs in Indiana?

For Data Scientist Fraud Detection jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Scientist Fraud Detection jobs in Indiana look for?

The top searched job categories for Data Scientist Fraud Detection jobs in Indiana are:

What cities in Indiana are hiring for Data Scientist Fraud Detection jobs?

Cities in Indiana with the most Data Scientist Fraud Detection job openings:

Data Scientist

Elevance Health

Indianapolis, IN • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Elevance Health rating

7.6

Company rating: 7.6 out of 10

Based on 353 frontline employees who took The Breakroom Quiz

214th of 315 rated insurance


Job description

Data Scientist

Location: This role requires associates to be in-office 1-2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office.

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.

The Data Scientist is responsible for the selection and delivery of strategic network security, access control and secure transaction/messaging solutions. Develops, recommends, and implements enterprise information security policies, technical standards, guidelines, procedures, and other elements of an infrastructure necessary to support information security in compliance with established company policies, regulatory requirements, and generally accepted information security controls.

How you will make an impact:

  • Leads system and network architecture support for information and network security technologies.
  • Leads development and execution of risk assessment methodologies to fit business, regulatory, and technical environment considerations; leads the development of requirements, system architecture, and software design of security products and services; leads the development of strategies for discovery, evaluation and response to new networking attacks; develops security incident response plans and strategies.
  • Provides trouble resolution and serves as point of technical escalation on complex problems.
  • Creates presentations and seeks IT management approval and acceptance of significant replacements or reconfigurations of major security systems serving the Enterprise.
  • Sets vendor strategy and direction.
  • May be assigned to project teams for technical consultation to business partners and developers.
  • Designs & engineers comprehensive access management and network security technical solutions based on business requirements and defined technology standards; works with architecture to update technology direction & strategy. Develops reports supporting strategy and direction for management.
  • Developing and maintaining data science models, detection analytics, and behavioral algorithms for cybersecurity use cases.
  • Performing proactive threat hunting activities using large-scale enterprise telemetry, logs, and security datasets.
  • Designing and implementing statistical, machine learning, and predictive models to identify suspicious or malicious activity.
  • Developing strategies for discovery, evaluation, and response to emerging cyber threats, insider risks, and fraud patterns.
  • Capable of serving as technical merger & acquisition lead. Acts as a subject matter expert among peers, with manager and senior management.
  • Must be capable of providing top-tier support for 5 or more of the information security technology common body of knowledge skill sets: 1) Access Control, 2) Application Security, 3) Business Continuity and Disaster Recovery Planning, 4) Cryptography, 5) Information Security and Risk Management 6) Legal, Regulations, 7) Compliance and Investigations, 8) Operations Security, 9) Physical (Environmental) Security, 10) Security Architecture and Design, 11) Telecommunications and Network Security.

Minimum Requirements:

  • Requires BS/BA in information Technology or related field of study and a minimum of 8 years experience in systems administration and security aspects of information systems, access management and network security technologies, network communications, computer networking, telecommunications, systems development and management, hardware, software, data, and people; experience with multiple technical and business disciplines required.
  • Requires broad-based experience to plan and design highly complex systems; or any combination of education and experience, which would provide an equivalent background.

Preferred Skills, Capabilities, and Experiences:

  • Security Certifications: CISSP and other advanced technical security certifications (e.g. Information Systems Security Architecture Professional, Information Security Engineering Professional, Certification and Accreditation Professional, or equivalent certifications) strongly preferred.
  • Machine learning and statistical modeling techniques preferred.
  • Threat hunting and cybersecurity analytics experience preferred.
  • SIEM, EDR, UEBA, and fraud analytics platforms experience preferred.
  • Scripting and programming languages such as Python, SQL, R, or similar technologies preferred.
  • Data visualization and dashboard development experience preferred.
  • Big data technologies, automation, and cloud-based analytics platforms experience preferred.
  • Anomaly detection, user/entity behavior analytics (UEBA), and predictive analytics experience preferred.
  • CI/CD pipelines and automation for analytics and detection deployment experience preferred.

Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.

Who We Are

Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.

How We Work

At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.

We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.

Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.

The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.

Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact elevancehealthjobssupport@elevancehealth.com for assistance.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Prospective employees required to be screened under Florida law should review the education and awareness resources at HB531 | Florida Agency for Health Care Administration.


What Elevance Health employees say

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About Elevance Health

Sourced by ZipRecruiter

Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. A Fortune 20 company with a longstanding history in the healthcare industry, we are looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. You will thrive in a complex and collaborative environment where you take action and ownership to solve problems and lead change. Do you want to be part of a larger purpose and an evolving, high-performance culture that empowers you to make an impact?

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

2004

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