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Job Description:
Entity:
- Accenture Strategy & Consulting
Team:
- Global Network – Data & AI
Practice:
- Supply Chian Analytics
Title:
- Ind & Func AI Decision Science Consultant
Job location:
- Bangalore/Gurgaon/Hyderabad/ Mumbai
Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition
As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.
Explore an Exciting Career at Accenture
Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse, and collaborative culture?
Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Strategy and Consulting
Candidate should have good understanding of statistics/analytical/optimization methods and approaches. The ideal candidate should be able to bring in meaningful data driven insights supporting with statistical concepts and apply the same in wider Supply Chain area. The candidate is expected to use data science skills to solve client’s business problem in the supply chain area. The candidate should have functional skill set and Supply Chain domain knowledge with ability to apply data science skill set to solve supply chain problems. Additionally, the role would require contributing towards asset development initiatives.
Job Qualifications:
Experience and Education:
- 5-6 years of experience in Machine Learning and/or Optimization Techniques.
- Master’s degree in technology or engineering or quantitative field (e.g. MSc in Statistics and Operations Research, M Tech in Industrial Engineering, Applied Math/Statistics, Computer Science)
- Certifications in any one or two of the areas will be an added advantage: Python, AI/ML, Optimization, Simulation, any of the cloud platforms (Azure/ GCP/ AWS).
Mandatory Skills:
Must have:
- Proficiency in data modeling developed through client projects.
- Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems.
- Proficient in using Python/Py Spark programming for data manipulation, data visualization, and machine learning models with good hands-on experience.
- Proficiency in any one of the Cloud solutions – Azure, GCP or AWS
- Proficiency in SQL for data preparation, manipulation, and descriptive analysis
- Proficient in supply chain domain
- Excellent written and oral communication skills
Good to have:
- Experience on Simulation and Optimization
- Visualization packages like Tableau/ Power BI
- Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP
- Exposure to Client interaction
- Exposure to business platforms (o9/Kinaxis/BY)
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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