Job Description

SUMMARY High level overview

The Digital Global Operations team enables leadership to implement strategy, support on-going decision making through business-intelligence-driven insights and run business operations efficiently. It is a part of Consulting Innovation & Knowledge and is looking to enhance engagement with the consulting practice leadership.

We are looking for an Analytics and Modelling AM who will support our offering, sales, leadership and operations teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using machine learning and artificial intelligence technologies, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

RESPONSIBILITIES Tasks, functions, deliverables Performed
• Detailed role description
o Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
o Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
o Assess the effectiveness and accuracy of new data sources and data gathering techniques.
o Develop custom data models and algorithms to apply to data sets.
o Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
o Work with extended development and visualization team to be able to train and develop data sciences capability in the team.
o Coordinate with different functional teams to implement models and monitor outcomes.
o Develop processes and tools to monitor and analyze model performance and data accuracy.
o Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc.
o Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SPARK
o Good comprehension skills to understand the practice leadership’s business requirements. Industry expertise would be an added advantage.
o Define data requirements for creating a model and understand the business problem
o Clean, aggregate, analyze, interpret data and carry out quality analysis of it
o Analytical skills; detects, analyzes and solves work problems


QUALIFICATIONS Degrees, Certifications
UG:B.Tech/B.E. - Any Specialization, Computers, Any Graduate - Any Specialization, B.A - Statistics, B.Sc - Statistics
PG:MS/M.Sc(Science) – Statistics /Any Specialization, M.Tech - Any Specialization
Doctorate:Ph.D – Other

TOP REQUIRED BEHAVIORS AND SKILLS


• 7-10 years of work experience in Data sciences/ predictive analytics with reputed organization is desirable.
• Good at managing a network of senior stakeholders and driving change through influencing skills
• Excellent written and verbal communication skills for coordinating across teams.
• Leadership and strategic thinking skills
• Strong problem solving skills with an emphasis on Sales and Offering development.
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine


Qualifications

SUMMARY High level overview The Digital Global Operations team enables leadership to implement strategy, support on-going decision making through business-intelligence-driven insights and run business operations efficiently. It is a part of Consulting Innovation & Knowledge and is looking to enhance engagement with the consulting practice leadership. We are looking for an Analytics and Modelling AM who will support our offering, sales, leadership and operations teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using machine learning and artificial intelligence technologies, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. RESPONSIBILITIES Tasks, functions, deliverables Performed • Detailed role description o Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. o Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. o Assess the effectiveness and accuracy of new data sources and data gathering techniques. o Develop custom data models and algorithms to apply to data sets. o Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. o Work with extended development and visualization team to be able to train and develop data sciences capability in the team. o Coordinate with different functional teams to implement models and monitor outcomes. o Develop processes and tools to monitor and analyze model performance and data accuracy. o Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. o Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SPARK o Good comprehension skills to understand the practice leadership’s business requirements. Industry expertise would be an added advantage. o Define data requirements for creating a model and understand the business problem o Clean, aggregate, analyze, interpret data and carry out quality analysis of it o Analytical skills; detects, analyzes and solves work problems QUALIFICATIONS Degrees, Certifications UG:B.Tech/B.E. - Any Specialization, Computers, Any Graduate - Any Specialization, B.A - Statistics, B.Sc - Statistics PG:MS/M.Sc(Science) – Statistics /Any Specialization, M.Tech - Any Specialization Doctorate:Ph.D – Other TOP REQUIRED BEHAVIORS AND SKILLS • 7-10 years of work experience in Data sciences/ predictive analytics with reputed organization is desirable. • Good at managing a network of senior stakeholders and driving change through influencing skills • Excellent written and verbal communication skills for coordinating across teams. • Leadership and strategic thinking skills • Strong problem solving skills with an emphasis on Sales and Offering development. • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. • Experience working with and creating data architectures. • Knowledge of a variety of machine

We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Life at Accenture

Work where you're inspired to explore your passions and where your talents are nurtured and cultivated. Innovate with leading-edge technologies on some of the coolest projects you can imagine.

image

Work Environment

Be your best every day in a work environment that helps drive innovation in everything you do.


LEARN MORE

image

Training and Development

Take time away to learn and learn all the time in our regional learning hubs, connected classrooms, online courses and learning boards.

LEARN MORE

View All

Learn more about Accenture

With over 450,000 employees in more than 120 countries, Accenture solves our clients' toughest challenges by providing a broad range of services and solutions in strategy, consulting, digital, technology and operations.

View All

Stay connected

Join our Team

Join Our Team

Search open positions that match your skills and interest. We look for passionate, curious, creative and solution-driven team players.

Keep up to date

Keep Up to Date

Stay ahead with careers tips, insider perspectives, and industry-leading insights you can put to use today–all from the people who work here.

Stay Connected

Stay Connected

Receive job alerts, latest news and insider tips tailored to your preferences. See what exciting and rewarding opportunities await.

View All