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채용Accenture

AI/ML Computational Science Manager

Accenture

AI/ML Computational Science Manager

Accenture

Bengaluru

·

On-site

·

Full-time

·

3d ago

Skill required:

Tech for Operations

  • Technological Innovation

Designation:

AI/ML Computational Science Manager

Qualifications:

Any Graduation

Years of Experience:

13 to 18 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 784,000 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? You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.

  • Gather and qualify requirements from business users and clients for RTR product implementation. Ensure acceptance criteria and arrive at a solution blueprint.
  • Commit to solution cost and schedule and obtain stake holder buy in • Someone who is able to drive client conversations during pre-solution, solutioning stage • Deliver to plan and ensure & monitor client service deliverables to attain contractual service levels and compliance • Manage the project financial to ensure the cost vs. recovery is aligned • Oversee customer escalation management and ensure timely resolution and share the voice of the customer to other stakeholders • Create, maintain and utilize delivery and sales assets that are relevant to demonstrate thought leadership, and/ or reduce delivery effort and timelines.
    What are we looking for? • Overall 18+ years of experience • Strong Functional skill set – R2R (primary), FP&A (secondary) • Significant and varied technology implementation experience in F&A landscape for large clients, majorly in outsourcing industry, GCC, large multinational captives • Experience in implementation of third-party products, SAAS like Blackline, Cadency, High Radius (RTR), and other RTR platforms. Preference will be given to candidates who have worked in complexed solutioning and deployment with agentic and hyper automation • Added advantage to the candidates who have worked on newer technologies like LCNC, Agentic.
  • Possesses strong analytical and problem-solving skills, with the ability to identify and resolve complex issues • Ability to work independently to plan and execute the implementation by working with client, operation team and vendor.
  • Collaborates effectively with cross-functional teams and stakeholders across different levels of the organization (both internal and external) • Excellent communication, presentation and highly refined interpersonal skills.
  • Driven to make customers successful, regardless of challenges or obstacles • Understands business processes and the interaction with IT systems/ERP RTR

Roles and Responsibilities:

RTR

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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모의 지원자 수

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Accenture 소개

Accenture

Accenture

Public

Accenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.

10,001+

직원 수

Dublin

본사 위치

$139B

기업 가치

리뷰

3.6

9개 리뷰

워라밸

2.8

보상

3.5

문화

3.2

커리어

3.8

경영진

3.0

65%

친구에게 추천

장점

Good career growth and learning opportunities

Great culture and work environment

Challenging and interesting work

단점

High levels of politics

Long hours and stress

Slow moving processes

연봉 정보

20개 데이터

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

L2 · Data Scientist L2

0개 리포트

$14,221

총 연봉

기본급

$5,688

주식

$7,111

보너스

$1,422

$9,955

$18,487

면접 경험

6개 면접

난이도

2.8

/ 5

소요 기간

14-28주

합격률

17%

경험

긍정 0%

보통 67%

부정 33%

면접 과정

1

Application Review

2

Recruiter Screen

3

Cognitive Assessment

4

Technical Interview

5

Behavioral Assessment

6

Final Interview

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Case Study

Culture Fit