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Data Scientist Deloitte Jobs (NOW HIRING)

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Data Scientist Deloitte information

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How much do data scientist deloitte jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data scientist deloitte in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does a data scientist at Deloitte do?

A Data Scientist at Deloitte leverages advanced analytics, machine learning, and statistical modeling to solve complex business problems for clients across different industries. They collect, process, and analyze large datasets to extract actionable insights, inform decision-making, and drive business strategy. Data Scientists at Deloitte often work in cross-disciplinary teams, collaborating with consultants, engineers, and industry experts to deliver data-driven solutions and recommendations tailored to client needs.

How does a data scientist at Deloitte typically collaborate with other teams on client projects?

As a Data Scientist at Deloitte, you will frequently work in multidisciplinary teams alongside consultants, data engineers, subject matter experts, and client stakeholders. Collaboration often involves translating business questions into analytical problems, co-designing data solutions, and communicating insights in an accessible manner to both technical and non-technical audiences. You'll also participate in regular project meetings, contribute to knowledge sharing, and ensure that your analyses align with both client objectives and Deloitte’s best practices.

What are the key skills and qualifications needed to thrive as a data scientist at Deloitte, and why are they important?

To thrive as a Data Scientist at Deloitte, 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. Proficiency with programming languages like Python or R, experience with data visualization tools (such as Tableau or Power BI), and familiarity with cloud platforms (like AWS or Azure) are commonly required, along with relevant certifications. Strong problem-solving abilities, effective communication, and teamwork skills help you translate complex data insights for diverse stakeholders. These skills are critical for delivering actionable business solutions and driving data-driven decision-making in a consulting environment.

What is the difference between Data Scientist Deloitte vs Data Analyst Deloitte?

AspectData Scientist DeloitteData Analyst Deloitte
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often some certificationsBachelor's degree in related fields; certifications are a plus but not mandatory
Work EnvironmentAdvanced analytics projects, predictive modeling, machine learningData reporting, visualization, basic analysis
Employer & Industry UsageConsulting firms like Deloitte, finance, healthcare, techCorporate, finance, retail sectors within Deloitte

Data Scientist Deloitte focuses on complex analytics, machine learning, and predictive modeling, requiring advanced skills and education. Data Analysts Deloitte handle data reporting and visualization, often with less emphasis on advanced modeling. Both roles are integral within Deloitte's data teams but differ in complexity and technical depth.

More about Data Scientist Deloitte jobs
Infographic showing various Data Scientist Deloitte job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist - AI and Data Science Engineer I

Huntsville, AL • On-site

Deloitte
Finance and Insurance • 10K+ employees

Full-time

Posted 20 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz


Job description

Our Deloitte AI & Engineering team 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 an AI and Data Science Engineer I on the AI & Data team, you will:

  • Develop and sustain operational technology cyber data ontologies that support analytics, detection, and reporting use cases
  • Build, train, test, and maintain machine learning models for operational technology cyber threat and attack detection
  • Design and maintain data pipelines that move sensor and telemetry data from on-premises environments to cloud platforms
  • Analyze cyber data to identify patterns, anomalies, and indicators that support security operations and mission objectives
  • Collaborate with technical leads, delivery teams, security operations center stakeholders, cloud and data teams, and program management to implement scalable analytics solutions

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 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, & 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.

Qualifications

Required:

  • Bachelor's degree
  • Active Secret security clearance required
  • 1+ years of experience with data modeling, Jira, machine learning, Python, and SQL
  • Ability to travel 25%, 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:

  • Experience supporting operational technology cybersecurity analytics use cases
  • Experience developing and maintaining machine learning models in production environments
  • Experience designing data pipelines across on-premises and cloud-connected environments
  • Experience analyzing cyber data to identify anomalies, patterns, and indicators
  • Experience working with cross-functional stakeholders across delivery, security operations, cloud, and program management teams
Qualifications:

Our Deloitte AI & Engineering team 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 an AI and Data Science Engineer I on the AI & Data team, you will:

  • Develop and sustain operational technology cyber data ontologies that support analytics, detection, and reporting use cases
  • Build, train, test, and maintain machine learning models for operational technology cyber threat and attack detection
  • Design and maintain data pipelines that move sensor and telemetry data from on-premises environments to cloud platforms
  • Analyze cyber data to identify patterns, anomalies, and indicators that support security operations and mission objectives
  • Collaborate with technical leads, delivery teams, security operations center stakeholders, cloud and data teams, and program management to implement scalable analytics solutions

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 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, & 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.

Qualifications

Required:

  • Bachelor's degree
  • Active Secret security clearance required
  • 1+ years of experience with data modeling, Jira, machine learning, Python, and SQL
  • Ability to travel 25%, 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:

  • Experience supporting operational technology cybersecurity analytics use cases
  • Experience developing and maintaining machine learning models in production environments
  • Experience designing data pipelines across on-premises and cloud-connected environments
  • Experience analyzing cyber data to identify anomalies, patterns, and indicators
  • Experience working with cross-functional stakeholders across delivery, security operations, cloud, and program management teams
Education:Bachelor's DegreeEmployment Type:

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