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AI/ML Computational Science Manager

Accenture

AI/ML Computational Science Manager

Accenture

·

On-site

·

Full-time

·

4d ago

Benefits & Perks

Learning

Required Skills

Python

Machine Learning

Deep Learning

NLP

Skill required: Tech for Operations

  • Artificial Intelligence (AI)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 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? The Digital Inside Sales domain focuses on reinventing sales operations via digital transformation, data-driven insights, and AI-powered engagement. Key focus areas include AI-driven lead generation and qualification, end-to-end sales cycle management, hyper-personalization with real-time insights, partner acceleration, and customer success enablement.

  • The Techno-Functional Expert will serve as the Technical Delivery Lead, combining a deep understanding of Digital Inside Sales with strong technical expertise in Python and AI/ML. The candidate will lead the design and delivery of AI and ML-enabled solutions that enhance sales operations, customer engagement, and revenue growth. Acting as a bridge between the sales function and technical teams, this role demands both domain knowledge and hands-on technical skills to deliver end-to-end inside sales transformation solutions to clients.What are we looking for? • Strong expertise in Digital Inside Sales processes including lead generation, sales operations, CRM automation, and customer success enablement.

  • Proficiency in Python programming and practical experience applying AI/ML models in sales or related business functions.

  • Proven track record of delivering AI/ML-enabled sales tech solutions to clients, ideally within consulting or professional services.

  • Experience with sales and marketing analytics platforms, CRM tools, and automation technologies.

  • Excellent communication and stakeholder management skills to bridge technical and business teams effectively.

  • Ability to lead technical delivery teams, manage projects, and drive client satisfaction.

  • 12+ years of combined Digital Inside Sales domain and technical delivery experience.

  • Familiarity with Accenture Syn Ops platform or equivalent intelligent automation systems.

  • Advanced degrees or certifications in Sales Technology, Data Science, AI, or related fields. Roles and Responsibilities: • Lead delivery of AI/ML-powered Digital Inside Sales solutions that optimize lead generation, sales cycle management, and customer success processes.

  • Translate business needs from sales leadership into scalable, technically feasible AI and automation solutions using Python and machine learning methodologies.

  • Collaborate closely with sales teams, data scientists, and technical developers to implement predictive analytics, generative AI models, and real-time insight tools.

  • Manage project delivery timelines, stakeholder communication, and quality assurance across client engagements.

  • Mentor team members on Digital Inside Sales domain knowledge and emerging AI/ML technologies.

  • Stay updated with advancements in inside sales technologies, AI, ML, and related automation tools to enhance delivery capabilities.

  • Drive innovation within sales operations by integrating automation, AI-driven insights, and hyper-personalization techniques in client solutions.

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

L2 · Business Operations L2

0 reports

$55,250

total / year

Base

$22,100

Stock

$27,625

Bonus

$5,525

$38,675

$71,825

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