Your browser does not support javascript! Please enable it, otherwise web will not work for you.

Sales Ex - COE - Client Success - Data Science @ Accenture

Home >

 Sales Ex - COE - Client Success - Data Science

Job Description

    Job Title - Sales Ex - COE - Client Success - Data Science Specialist Management Level : ML09 Location: Open Must have skills: At least 4 years of professional experience in AI/ML, Machine learning or deep learning algorithms, Data visualization tools such as Power BI or QlikSense Good to have skills: Experience in deploying and managing ML models in GCP production environment.in Computer Science or a similar field. Job Summary: Sales Excellence. Sales Excellence at Accenture empowers our people to compete, win and grow. We provide everything they need to grow their client portfolios, optimize their deals and enable their sales talent, all driven by sales intelligence. The team will be aligned to the Client Success, which is a new function to support Accentures approach to putting client value and client experience at the heart of everything we do to foster client love. Our ambition is that every client loves working with Accenture and believes were the ideal partner to help them create and realize their vision for the future beyond their expectations. You are: An experienced data scientist with a flair for turning data into business insights. You enjoy searching for patterns and connections in data to discover trends, root causes and solutions. While logical and objective in your approach, your true superpower is helping others to see how things can be done differently. You use AI modeling to test theories and identify ways to improve processes. The work: The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class service offerings to Accenture leaders, practitioners, and sales teams. As a member of the COE Analytics Modeling Analysis team, you will generate business insights to help Accenture to improve its processes, boost sales and maximize profitability. You will build models and scorecards that help business leaders to understand trends and market drivers. You will work closely with operations teams to turn these insights into user-friendly solutions. Managing access to tools and monitoring their usage Roles & Responsibilities: ETL raw data from the source systems across business areas and transform it into structured and usable formats for analysis and modeling purposes. Apply statistical, machine learning, and NLP techniques to analyze data, identify patterns, and extract meaningful insights. Develop machine learning or deep learning models to solve complex business problems or operations and implement and manage the models in the cloud platform. Interpret and present findings to technical as well as non-technical audiences in a clear and actionable manner. Identify Gen AI use cases leveraging various LLMs and design and conduct pilot projects to explore their feasibility and value. Develop Gen AI-based solutions or capabilities collaborating with cross-functional teams including data engineers and business stakeholders. Ensure data compliance with privacy regulations and implement data security measures. Stay updated with latest developments in data science and Gen AI. Professional & Technical Skills: Bachelors degree or equivalent experience. At least 4 years of professional experience in AI/ML including: Machine learning or deep learning algorithms Natural language processing techniques Generative AI skills leveraging LLMs Data visualization tools such as Power BI or QlikSense Coding expertise in coding Python, SQL, or R scripts. Strong communication skills in both oral and written English. Excellent time management and organizational skills. Proficiency in project management. Strong business acumen and attention to detail. Additional Information: Master or doctoral degree in Data Science or similar field. Experience in developing Gen AI solutions leveraging Azure OpenAI or Google PaLM2. Experience in deploying and managing ML models in GCP production environment. Experience with survey data analysis using Qualtrics tools. Experience with Sales, Marketing, Pricing, or Finance data. Working knowledge of Salesforce Einstein Analytics. Experience working with Power Apps. About Our Company | Accenture,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Sales Ex - COE - Client Success - Data Science

Contact Details:

Company: Accenture
Location(s): Other Karnataka

+ View Contactajax loader


Keyskills:   Machine learning Power BI QlikSense GCP Python SQL

 Job seems aged, it may have been expired!
 Fraud Alert to job seekers!

₹ Not Specified

Similar positions

Assistant Manager - Human Resources

  • Hiring For Top
  • 10 to 14 Yrs
  • All India
  • 11 days ago
₹ Not Disclosed

Associate Director - Project Management

  • Indegene
  • 8 to 12 Yrs
  • All India
  • 17 days ago
₹ Not Disclosed

Excavator Mechanic

  • Bajaj Capital
  • 4 to 8 Yrs
  • 20 days ago
₹ Not Disclosed

Business Advisory - Gen Ai (bfsi Domain)

  • LTIMindtree
  • 10 to 14 Yrs
  • All India
  • 1 month ago
₹ Not Disclosed

Accenture

Accenture (NYSE: ACN) is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions unde...