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Accenture Applied Intelligence 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 competitionandlt;br or andgt; As part of our Analytics practice you will join a worldwide network of over 20000 smart and driven colleagues experienced in leading AI or ML or 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.andlt;br or andgt; andlt;br or andgt; Analyst in Applied Intelligence andlt;br or andgt; andlt;br or andgt; An Analyst in ‘Applied intelligence –understands the importance of sound analytical decision-making relationship of tasks to the overall project and executes projects in the context of a business performance improvement initiative.andlt;br or andgt; Duties and Responsibilities: andlt;br or andgt; • Ability to work with large data sets and present conclusions to key stakeholders; Data management using R or Python or Sparkandlt;br or andgt; • Support monitor and manage all aspects of daily activities with andlt;br or andgt; o Audience Segmentationandlt;br or andgt; o Root-cause analysisandlt;br or andgt; • Working through the phases of projectandlt;br or andgt; o Define data requirements for creating a model and understand the business problemandlt;br or andgt; o Clean aggregate analyze interpret data and carry out quality analysis of itandlt;br or andgt; o Set up data for predictive or prescriptive analysis andlt;br or andgt; o Development of AI or ML models or statistical or econometric models.andlt;br or andgt; • Working along with the team members andlt;br or andgt; • Looking for insight and creating a presentation to demonstrate these insightsandlt;br or andgt; • Supporting development and maintenance of proprietary marketing techniques and other knowledge development projectsandlt;br or andgt; Educational Background or qualificationsandlt;br or andgt; • B Tech or M Tech from reputed engineering collegesandlt;br or andgt; • Masters or M Tech in Computer Scienceandlt;br or andgt; • Master degree in Statistics or Econometrics or Economics from reputed instituteandlt;br or andgt; • M.Phil or Ph.D in Statistics or Econometrics or related field.andlt;br or andgt; Requirements: andlt;br or andgt; Responible for taking up day-to-day activities for making deliverables to the Clientandlt;br or andgt; Duties and Responsibilities: andlt;br or andgt; • Act as a Data Scientist for data handling extraction manipulation; creating structured form of data and pulling tangible insights from dataandlt;br or andgt; • Take inputs from the Manger or Consultant to develop statistical models .predictive modeling forecasting etc.. and apply appropriate techniques such as Exploratory Analysis Regression Segmentation etc.andlt;br or andgt; • Prepare summary of results for in-house discussion and take feedback whenever or wherever requiredandlt;br or andgt; • Develop executive dashboards to present the analytical insights derived from the data analysisandlt;br or andgt; andlt;br or andgt; Proficiency andamp; Experience: andlt;br or andgt; • 1-3 years of experience andlt;br or andgt; • Strong ability to extract strategic insights from large data setsandlt;br or andgt; • Adept with using Statistical .like forecasting or modeling data analysis regression or optimization models. Machine Learning .GBM Decision Trees etc.. andamp; AI techniques .Deep Learning.andlt;br or andgt; andlt;br or andgt; Skills: andlt;br or andgt; • Proficient in data handling suites PYTHON Spark R HIVE SAS SQL or similar packages andlt;br or andgt; • Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical business peopleandlt;br or andgt; • Strong aptitude ability motivation and interest in placing quantitative analysis in the context of marketing and business economics.andlt;br or andgt; • Adept with knowledge andamp; working on Visualization tools like Tableau POWER BI etc.andlt;br or andgt; Soft Skillsandlt;br or andgt; • Strong problem soling skillsandlt;br or andgt; • Good team playerandlt;br or andgt; • Attention to detailsandlt;br or andgt; • Good communication skillsandlt;br or andgt; Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race
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Our more than 600,000 people in more than 120 countries, combine unmatched experience and specialized skills across more than 40 industries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.