Skill required: Data Science - Machine Learning
Job Location: Mumbai
Qualifications: Master of Business Administration,Masters in Business Economics
Years of Experience: 13-18 years
About Accenture Operations
In today's business environment, growth isn't just about building value-it's fundamental to long-term business survival. So how do organizations sustain themselves? The key is a new operating model-one that's anchored around the customer and propelled by intelligence to deliver exceptional experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clients-by harnessing talent, data and intelligence to revolutionize their operating models. Operations is one of four services that make up one Accenture -the others are Strategy and Consulting, Interactive and Technology. Visit us at www.accenture.com
What would you do?
You will be aligned with our Insights & Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area.
In the Data Science team, you will manage and analyze data in order to build data driven business insights and high impact data models to generate significant business value. This will involve creating models and processes to collect, distill and interpret data with a view to aid more informed decision making, examine and explore data from multiple sources with the goal of discovering insights which in turn can provide competitive advantage for our client.
In Machine Learning, you will be responsible for identifying the problem to which of a set of categories a new observation belongs, on the basis of a training set of data containing observations whose category membership is known. The basic premise of machine learning is to build algorithms that can receive input data and use statistical analysis to predict an output while updating outputs as new data becomes available.
What are we looking for?
We are looking for individuals who have the following skillset:
- Problem-solving skills
- Ability to establish strong client relationship
- Strong analytical skills
- Ability to handle disputes
- Thought leadership
It would be a value add if you are proficient in:
- Data Science
- Data Analytics
- Artificial Intelligence
- Data Modeling Techniques and Methodologies
- Data Management
Roles and Responsibilities
- In this role you are required to identify and assess complex problems for area of responsibility
- You will need to create solutions in situations which requires an in-depth analysis/evaluation of variable factors
- This will require alignment to strategic direction set by senior management when establishing near-term goals
- Your primary interaction will be with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach
- Some latitude in decision-making is involved, you will act independently to determine methods and procedures on new assignments
- You will need to flag risks to clients and Accenture stakeholders and propose action plans where needed
- You will need to have an innovative mindset to identify improvement opportunities to optimize processes, decrease costs and increase client value
- Decisions that you make in this role will have a major day to day impact on area of responsibility
- You will be managing medium - large sized teams and/or work efforts at a client or within Accenture
- You would require transformation mindset and eye for identifying automation/process improvement opportunities.
Please note this role may require you to work in rotational shifts.
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