Project Role : AI Advisor
Project Role Description : Support in driving business outcomes for clients through analytics either as embedded analytics or analytics as a Service. They leverage analytics to drive next generation initiatives and innovation in their respective capabilities. This role supports the delivery leads, account management and operational excellence teams to deliver client value through analytics and industry best practices.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : BTech or Equivalent Min 15 years of education

Summary: As an AI Advisor, you will be responsible for driving business outcomes for clients through analytics using Databricks Unified Data Analytics Platform. Your typical day will involve supporting delivery leads, account management, and operational excellence teams to deliver client value through analytics and industry best practices. Roles & Responsibilities: - Lead the development and deployment of advanced analytics solutions using Databricks Unified Data Analytics Platform. - Conduct detailed analysis of complex data sets, employing statistical methodologies and data munging techniques for actionable insights. - Collaborate with cross-functional teams, applying expertise in diverse analytics techniques, including experience in implementing various algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. - Stay updated with the latest advancements in analytics and data science, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Experience with Databricks Unified Data Analytics Platform. - Strong understanding of statistical analysis and machine learning algorithms. - Experience in implementing various analytics techniques such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. - Experience with data visualization tools such as Tableau or Power BI. - Good To Have Skills: Experience with Big Data technologies. Additional Information: - The candidate should have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform. - The ideal candidate will possess a strong educational background in statistics, mathematics, computer science, or a related field, along with a proven track record of delivering impactful data-driven solutions. - This position is based at our Bengaluru office.

BTech or Equivalent Min 15 years of education

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 750,000 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. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, 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

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