Data Science Associate Manager

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Data ScienceData & AI

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Quick Summary

Key Responsibilities

- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.

Technical Tools

Data ScienceData & AI

Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with various teams to ensure the integration of AI solutions into production-ready environments, applying generative AI models, and exploring advanced techniques such as deep learning and image processing to enhance system capabilities.

Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing and mentorship within the team to foster a culture of continuous learning.
- Evaluate and implement new technologies and methodologies to improve project outcomes.
- Monitor project progress and ensure alignment with organizational goals and objectives.

Professional & Technical Skills:
- Required Skill: Expert proficiency in Data Science.
- Strong understanding of machine learning algorithms and their applications.
- Experience with data preprocessing and feature engineering techniques.
- Familiarity with cloud platforms and services for deploying AI solutions.
- Proficient in programming languages such as Python and R for data analysis.
- Experience with data visualization tools to communicate insights effectively.

Additional Information:
- The candidate should have minimum 5 years of experience in Data Science.
- This position is based at our Manila office.

Minimum 5 year(s) of experience is required

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

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.