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Accenture Data Science Jobs (NOW HIRING)

Accenture's Global Responsible AI team within the Global Data & AI Practice. AI is becoming more ... Exposureto data science strategy, machine learning, and business analytics to solve business ...

Accenture's Global Responsible AI team within the Global Data & AI Practice. AI is becoming more ... Exposureto data science strategy, machine learning, and business analytics to solve business ...

Accenture's Global Responsible AI team within the Global Data & AI Practice. AI is becoming more ... Exposureto data science strategy, machine learning, and business analytics to solve business ...

Accenture's Global Responsible AI team within the Global Data & AI Practice. AI is becoming more ... Exposureto data science strategy, machine learning, and business analytics to solve business ...

Accenture's Global Responsible AI team within the Global Data & AI Practice. AI is becoming more ... Exposureto data science strategy, machine learning, and business analytics to solve business ...

Accenture's Global Responsible AI team within the Global Data & AI Practice. AI is becoming more ... Exposureto data science strategy, machine learning, and business analytics to solve business ...

Accenture's Global Responsible AI team within the Global Data & AI Practice. AI is becoming more ... Exposureto data science strategy, machine learning, and business analytics to solve 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

Suitland, MD • On-site

Full-time

Posted 18 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 national security and improve lives through technology. They are seeking a Data Science Practitioner to lead data-driven insights and oversee the lifecycle of data science projects, ensuring data integrity and compliance while collaborating with cross-functional teams.
Responsibilities:
• Manage, architect and analyze big data in order to build data driven insights and high impact data visualizations
• Drive data-driven decision-making across the organization
• Oversee the end-to-end lifecycle of data science projects, from data collection and preparation to model development and deployment
• Design and implement robust data pipelines, ensuring seamless data flow and accessibility for analytical purposes
• Establish and enforce data governance frameworks, ensuring data integrity, security, and compliance with organizational standards
• Collaborate with cross-functional teams, translating complex data insights into actionable strategies that align with business objectives
• Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling analyzing
• Examine data from multiple sources and share insights which provide competitive advantage
• Act as Subject Matter Expert in area of expertise and enhance Accenture's marketplace reputation
Qualifications:
Required:
• Manage, architect and analyze big data in order to build data driven insights and high impact data visualizations
• Drive data-driven decision-making across the organization
• Oversee the end-to-end lifecycle of data science projects, from data collection and preparation to model development and deployment
• Design and implement robust data pipelines, ensuring seamless data flow and accessibility for analytical purposes
• Establish and enforce data governance frameworks, ensuring data integrity, security, and compliance with organizational standards
• Collaborate with cross-functional teams, translating complex data insights into actionable strategies that align with business objectives
• Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling analyzing
• Examine data from multiple sources and share insights which provide competitive advantage
• Act as Subject Matter Expert in area of expertise and enhance Accenture's marketplace reputation
• Develop Power BI reports and dashboards, providing insights into key performance indicators (KPIs) and streamlining data-driven decision making for stakeholders
• Experience analyzing existing systems & databases to understand, validate, and document content
• 100% onsite
• Active TS/SCI clearance required
Preferred:
• Good understanding of structured and unstructured data, various file types, data ETL, data pipelines, and ability to document
• Experience with Tableau
• Experience providing IT support as needed
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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