Data Science Manager/AVP HR Analytics

Accenture; Bengaluru; Hybrid; INR 4,000,000 - 9,000,000; Full time

Job summary

Accenture in Bengaluru/Bangalore is seeking a Talent & HR Analytics Manager (AVP level) with 12-18 years of experience to lead analytics initiatives across the employee lifecycle. The role is hybrid, requiring 2 days in the office, with EMEA shift timings.

You will oversee client engagements, build advanced models, and drive value through analytics assets. The incumbent collaborates with domain experts, statisticians, and developers to deliver solutions in talent acquisition, development,

Qualifications

• 12+ years of experience in analytics, preferably HR analytics.
• Strong statistical modeling and machine learning expertise.
• Experience leading client engagements and offshore teams.
• Hands-on with Python, SAS, R, LISREL.

Responsibilities

• Lead analytics engagements from discovery to delivery.
• Translate business needs into analytical solutions for HR problems.
• Mentor and manage teams across offshore and onshore delivery.
• Develop assets and innovations in HR analytics.

Skills

Analytics

Data mining

Python

Client management

Project management

Team leadership

Communication

Offshore collaboration

HR Analytics

Forecasting

Tools

Python

SAS

R

LISREL

Job description

Designation: Talent & HR Analytics Manager (AVP equivalent)

Location: Bangalore

Experience Range: 12 to 18 years

Work Model: Hybrid (2 days/week from office)

Shift Timings: EMEA Shifts (between 12 pm - 10 pm)

Talent & HR analytics practice in Accenture provides analytical services to large number of Accenture clients across industries. Its analytical solution portfolio covers entire span of employee life cycle through offerings defined as Talent Acquisition, Talent Development, Workforce Engagement and Retention and Employee services.

The team in Talent & HR analytics provides analytical solutions like

• Employer value proposition
• Talent demand forecast and workforce planning
• High performer profiling
• New hire prediction
• Talent development needs segmentation
• Employee engagement
• Attrition analytics
• etc.

Proficient in various statistical and machine learning techniques like forecasting, segmentation using different types of data, prediction modeling, structural equation modelling, random forest, SVM using Python, SAS, R, LISREL etc.

The team is a blend of domain experts, statisticians and programmers who are engaged with clients to solve HR business problems and also develop assets through innovation.

Core Competencies:

• Hands on experience in analytics and data mining with large databases and survey data
• Should have worked on building advanced analytics statistical models
• HR Analytics experience (Good-to-have but Not Mandatory)
• Strong Analytics experience (descriptive and advanced machine learning, forecasting) 10+ years
• Proficient in Python6-8 years of experience of leading multiple client engagement
• Project management experience
• Good client communications (verbal and written)
• Experience of working with offshore teams
• Strong team handling experience