Data Science Specialist

Accenture Inc.; Metro Manila; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Accenture Inc. is seeking a Data Science Specialist in Manila to design and develop AI/ML solutions that leverage GenAI, cloud AI services, and production-grade pipelines.

The role involves integrating cloud-based or on-premise systems, collaborating with cross-functional teams, and delivering innovative models such as deep learning and image processing. The ideal candidate brings 3+ years of Data Science experience, strong statistical and ML skills, and proficiency in Python or R.

Qualifications

• Minimum 3 years of experience in Data Science or related field.
• Strong foundation in statistics and ML techniques with production experience.
• Experience preprocessing data, feature engineering, and model evaluation.

Responsibilities

• Design and develop advanced AI/ML applications and systems.
• Collaborate with teams to deploy models into production via cloud or on-prem pipelines.
• Apply GenAI models and ensure production-ready quality.
• Engage with multiple teams and contribute to key decisions.
• Mentor and share knowledge within the team to promote learning.
• Coordinate cross-functional efforts to align goals and deliverables.
• Monitor projects and optimize workflows for efficiency.

Skills

Data Science

Statistics

Machine Learning

Python

R

Data Visualization

Tools

Python

R

Cloud Platforms

Job description

Data Science Specialist

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.

Priority Skill

Data Science

Summary

As an AI / Machine Learning Engineer, a typical day involves designing and developing advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises solutions to ensure production-ready quality. The engineer collaborates with various teams to implement innovative models, including generative artificial intelligence, deep learning, and neural networks, to address complex challenges and 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 continuous learning.
• Coordinate cross-functional efforts to align project goals and deliverables.
• Monitor project progress and implement improvements to optimize workflows.

Professional & Technical Skills

• Required Skill: Expert proficiency in Data Science.
• Strong foundation in statistical methods and machine learning techniques.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms and deployment of AI models in production environments.
• Proficient in programming languages commonly used in data science such as Python or R.
• Ability to work with large datasets and apply data visualization tools to communicate insights effectively.

Additional Information

• The candidate should have minimum 3 years of experience in Data Science.
• This position is based at our Manila office.

NOTE: Open demands are subject to change.