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Accenture Data Science Jobs (NOW HIRING)

Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel. Key Responsibilities: • As a Data Science ...

Data Architect

Arlington, VA · On-site

$73.50 - $94.50/hr

... Data Science, Software Engineering • Minimum of 8 years of experience designing enterprise data architectures and models • Active TS/SCI clearance Company : Accenture Federal Services is a ...

Data Architect

Arlington, VA · On-site

$73.50 - $94.50/hr

... Science, Software Engineering • Minimum 8 years of experience designing enterprise data architectures and models • Active TS/SCI clearance Company : Accenture Federal Services is a leading US ...

Data Architect

Arlington, VA · On-site

$73.50 - $94.50/hr

... Science, Information Systems, Data Science, Software Engineering, or related field • Active TS/SCI clearance Company : Accenture Federal Services is a leading US federal services company and ...

Data Architect

Arlington, VA · On-site

$73.50 - $94.50/hr

Accenture Federal Services is dedicated to helping the US federal government enhance national ... Science, Software Engineering • Minimum 8 years of experience designing enterprise data ...

Data Engineering Lead

Arlington, VA · On-site

$131K - $158K/yr

... Data Science, Software Engineering • Active TS/SCI clearance Company : Accenture Federal Services ... is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company ...

Accenture Federal Services is dedicated to supporting the US federal government by leveraging technology and ingenuity. The Data Scientist role focuses on analyzing complex datasets to drive business ...

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Accenture Data Science information

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$46K

$165K

$243.5K

How much do accenture data science jobs pay per year?

As of Jul 2, 2026, the average yearly pay for accenture data science 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 is an Accenture Data Science job?

An Accenture Data Science job involves leveraging advanced analytics, machine learning, and AI to help clients derive insights from data and drive business decisions. Data scientists at Accenture work on a variety of industry-specific projects, applying statistical modeling, data visualization, and predictive analytics. They collaborate with cross-functional teams to develop data-driven solutions that improve efficiency, optimize operations, and create competitive advantages.

How much does a Data Scientist at Accenture make?

A Data Scientist at Accenture typically earns between $85,000 and $135,000 annually, depending on experience, location, and skill set. Entry-level roles may start lower, while experienced professionals with advanced skills in machine learning and data analysis can earn higher salaries.

What are the key skills and qualifications needed to thrive in the Accenture Data Science position, and why are they important?

To thrive as an Accenture Data Science professional, you need a solid background in mathematics, statistics, programming (Python, R), and data analysis, typically supported by a relevant degree. Familiarity with tools like SQL, machine learning libraries, big data platforms (such as Hadoop or Spark), and certifications like AWS or Azure are highly valued. Strong communication, problem-solving skills, and an aptitude for teamwork help set candidates apart in this collaborative environment. These skills ensure the ability to deliver actionable business insights, work effectively on diverse teams, and drive successful data-driven projects for clients.

Does Accenture hire a Data Scientist?

Yes, Accenture hires Data Scientists to work on data analysis, machine learning, and AI projects across various industries. Candidates typically need strong skills in programming, statistics, and tools like Python or R, along with relevant experience or certifications. Job openings are posted on their careers page and may require collaboration with cross-functional teams.

What does a typical day look like for a Data Science professional at Accenture?

A typical day for an Accenture Data Science professional involves collaborating with cross-functional teams to analyze client data, developing and testing predictive models, and presenting actionable insights to stakeholders. You might spend time working with both technical team members and business consultants to define project requirements, clean and process datasets, and contribute to solution architecture. Regular client interactions are common, as is documentation of your methodology to ensure transparency and reproducibility. The work environment is dynamic and fast-paced, offering exposure to a variety of industries and continuous opportunities for professional development.

Is it hard to get hired by Accenture?

Getting hired for a Data Science role at Accenture can be competitive, requiring strong technical skills in data analysis, machine learning, and programming, as well as relevant experience or internships. Candidates often go through multiple interview rounds including technical assessments and behavioral interviews to demonstrate their qualifications.

Is Accenture good for data science?

Accenture offers data science roles that involve working with advanced analytics, machine learning, and big data tools. The company provides opportunities for skill development, collaboration on large projects, and exposure to diverse industries, making it a reputable employer for data scientists.
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Data Science Practitioner

Data Science Practitioner

Accenture Federal Services

Annapolis Junction, MD • On-site

Full-time

Posted 4 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

48th of 437 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance its operations and improve the lives of citizens. The Data Science Practitioner role involves developing data-driven solutions, conducting statistical analyses, and collaborating with teams to deliver actionable insights for various government missions.
Responsibilities:
• Develop and implement data-driven solutions using programming languages such as Python and R
• Conduct statistical analyses, including regression, hypothesis testing, and distribution analysis, to interpret data accurately
• Design and train machine learning models using frameworks like TensorFlow and Scikit-Learn for predictive analytics and automation
• Perform data wrangling to clean and organize raw datasets, making them ready for meaningful analysis
• Collaborate with cross-functional teams to understand business needs and deliver actionable insights
Qualifications:
Required:
• Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science)
• 4 years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree
• A PhD from an accredited college or university in a quantitative discipline can be substituted for four 4 years of experience
• 14 years of experience in software engineering in similar programs and contracts
• 5 years of experience programming with data analysis software such as R, Python, SAS, or MATLAB
• Must have an active TS/SCI with polygraph level clearance
Preferred:
• Familiarity with libraries like NumPy, pandas, and advanced visualization tools
• Experience analyzing datasets and developing analytics
• Experience in creating impactful data visualizations and reports for stakeholders
• Ability to work independently and in a collaborative team environment
• Strong foundation in statistics and probability, including regression analysis and hypothesis testing
• Hands-on experience with machine learning frameworks such as TensorFlow and Scikit-Learn
• Expertise in data wrangling to prepare raw data for analysis
• Excellent problem-solving and analytical skills
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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