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 impactAre you a problem solver who enjoys working on transformative strategies for global clientsAre 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.
Qualifications
Experience and Education:
5-6 years of experience in Machine Learning and/or Optimization Techniques.Masters 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/PySpark 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 AWSProficiency in SQL for data preparation, manipulation, and descriptive analysisProficient in supply chain domain Excellent written and oral communication skillsGood to have:
Experience on Simulation and OptimizationVisualization packages like Tableau/ Power BIExposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBPExposure to Client interactionExposure to business platforms (o9/Kinaxis/BY) Employment Type: Full Time, Permanent
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