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AI/ML Computational Science Assoc Mgr

Accenture

AI/ML Computational Science Assoc Mgr

Accenture

·

On-site

·

Full-time

·

4d ago

Benefits & Perks

Healthcare

401k

Required Skills

Python

Machine Learning

AI/ML Modeling

Skill required: Data Scientist

  • Data Science

Designation: AI/ML Computational Science Assoc Mgr

Qualifications: BE/BTech/Any Graduation **Years of Experience:**10 to 14 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.

Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.

Visit us at www.accenture.com
What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com
Data Management involves the process of collecting, storing, organizing, and maintaining data. It ensures that data is accurate, accessible, and secure. The goal is to support decision-making, improve efficiency, and comply with regulations by effectively handling data throughout its lifecycle. Primary skillsets often include Data Engineering with AWS.

  • An interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured.What are we looking for? • Data Science
  • AI ML Modeling
  • Python
  • Gen AI
  • Cloud
  • Ability to perform under pressure
  • Results orientation
  • Ability to manage multiple stakeholders
  • Ability to establish strong client relationship
  • Ability to work well in a team Roles and Responsibilities: • In this role you are required to do analysis and solving of moderately complex problems
  • Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures
  • The person requires understanding of the strategic direction set by senior management as it relates to team goals
  • Primary upward interaction is with direct supervisor or team leads
  • Generally, interacts with peers and/or management levels at a client and/or within Accenture
  • The person should require minimal guidance when determining methods and procedures on new assignments
  • Decisions often impact the team in which they reside and occasionally impact other teams
  • Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture

BE,BTech,Any Graduation

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 approximately 791,000 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. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, 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

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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About Accenture

Accenture

Accenture

Public

Let there be change.

10,001+

Employees

Dublin

Headquarters

Reviews

4.0

10 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

4.2

Career

4.1

Management

4.0

75%

Recommend to a Friend

Pros

Great learning and development opportunities

Supportive and collaborative work environment

Good career growth and networking opportunities

Cons

Need to be proactive in finding projects

Long hours during busy periods

Very competitive environment for advancement

Salary Ranges

33 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

Senior/L5

L2 · Data Scientist L2

0 reports

$14,221

total / year

Base

$5,688

Stock

$7,111

Bonus

$1,422

$9,955

$18,487

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

17%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Task-Based Interview

4

Final Interview

5

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study