Jobs
The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class service offerings to Accenture leaders, practitioners, and sales teams.
As an Analytics & Modeling Specialist, you will be driving innovation around analytics models. Your typical day will involve working with machine learning models, Python, SQL, analysis and modeling to build predictive models, analyzing large data sets and translate data into valuable business insights.
You will:
Develop and deploy Artificial Intelligence/Data Science solutions using Python, SQL and latest AI technologies including fine tuning pretrained models.
You will be required to utilize frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class
You will be responsible for solving complex business problems that include predicting future outcomes, prescriptive actions, and optimization for stakeholders
Conduct detailed analysis of complex data sets, employing statistical methodologies and data modeling techniques for actionable insights, alongside a robust understanding of statistical analysis and machine learning algorithms.
Apply expertise in diverse analytics algorithms, specialized in machine learning, including hands on experience implementing various algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
Communicate technical findings effectively to stakeholders, utilizing data visualization tools like Tableau or Power BI for clarity.
Stay updated with the latest advancements in analytics and data science, integrating innovative approaches for sustained competitive advantage
The Work Continued:
Partner with stakeholders and other members of the team to apply critical thinking and the latest data science methodologies to solve our most complex analytic challenges.
Translate business issues into specific requirements by identifying appropriate data, developing analytics models and solutions.
The person should require minimal guidance when determining methods and procedures on new assignments.
Please note that this role requires you to work in a second shift
Here’s what you need:
A Bachelor’s degree or equivalent
5-8 years of relevant experience, which includes:
Knowledge of statistical techniques and machine learning algorithms (4+ years)
Experience in building regression & classification models using Python or R (4+ years)
Hands-On exposure to Generative AI frameworks and implementations. Experience in Fine-tune pre-trained LLM models with custom datasets. 6-12 months
Strong Quality Practices and Thoroughness:
Strong interpersonal skills and ability to communicate solutions to senior leadership, gain alignment, and drive progress.
Intermediate SQL & data integration (ETL) knowledge (experience with stored procedures, functions, views etc.)
Strong Quality Practices and Thoroughness.
Strong interpersonal skills and ability to communicate solutions to senior leadership, gain alignment, and drive progress.
Extra credit if you have:
Masters degree in Analytics or similar field
Advanced Visualization (Excel/Power BI)
Knowledge of Google Cloud Platform (GCP) and Big Query
Experience working in Sales, Marketing, Pricing, Finance, or related fields.
Understanding of Accenture sales process and systems, business model
Working knowledge of Salesforce Einstein Analytics
You may also need:
Ability to work flexible hours according to business needs.
Must have good internet connectivity and a distraction-free environment for working at home, in accordance with local guidelines.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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About Accenture

Accenture
PublicLet there be change.
10,001+
Employees
Dublin
Headquarters
Reviews
4.0
10 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.2
Career
4.1
Management
4.0
75%
Recommend to a Friend
Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Business Operations L2
0 reports
$55,250
total / year
Base
$22,100
Stock
$27,625
Bonus
$5,525
$38,675
$71,825
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
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