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Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.
Summary:
As a Data Science Practitioner, you will engage in the formulation, design, and delivery of artificial intelligence and machine learning-based decision-making frameworks and models aimed at achieving significant business outcomes. Your typical day will involve collaborating with cross-functional teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver measurable results.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Analyze complex data sets to identify trends and insights that can inform business strategies.
- Develop and implement machine learning models to enhance decision-making processes.
- Collaborate with stakeholders to understand their needs and translate them into technical requirements.
- Continuously evaluate and improve existing AI/ML models to ensure optimal performance.
Professional & Technical Skills:
- Required Skill: Expert proficiency in GCP - Vertex AI.
- Additional Good To Have Skills: Experience with Python (Programming Language), Generative AI.
- Strong understanding of machine learning algorithms and their applications.
- Experience in data preprocessing and feature engineering techniques.
- Familiarity with cloud computing environments and data storage solutions.
Additional Information:
- The candidate should have minimum 2 years of experience in GCP - Vertex AI.
- This position is based at our Manila office.
Minimum 2 year(s) of experience is required
About Accenture
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.
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
PublicLet 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%
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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
L2 · Business Analyst L2
0 reports
$63,830
total / year
Base
$25,532
Stock
$31,915
Bonus
$6,383
$44,681
$82,979
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
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