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Full-time
Posted 47d ago
~40 hrs/week
Responsibilities
Design and implement AI/ML-based decision-making frameworks to drive business outcomes. Collaborate with cross-functional teams to integrate models into practical applications and mentor junior members.
Requirements
Requires a minimum of 2 years of experience in Data Science with expert proficiency in the field. Candidates should be skilled in statistical methods, predictive modeling, and programming languages like Python or R.
Full job description
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, a typical day involves designing and implementing artificial intelligence and machine learning frameworks that support informed decision-making processes. This role includes evaluating the effectiveness of these solutions and ensuring they align with business objectives. Collaboration with various teams to integrate these models into practical applications is a key part of daily activities, fostering innovation and continuous improvement.
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.
- Engage in continuous learning to stay updated with emerging trends and technologies in the field.
- Collaborate with cross-functional teams to ensure alignment of data science initiatives with organizational goals.
- Document methodologies and findings clearly to support knowledge sharing within the team.
- Assist in mentoring junior team members to build collective expertise.
Professional & Technical Skills:
- Required Skill: Expert proficiency in Data Science.
- Additional Good To Have Skills: Experience with Generative AI.
- Strong foundation in statistical methods and predictive modeling techniques.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with programming languages commonly used in data science such as Python or R.
- Ability to interpret complex datasets and communicate insights effectively to stakeholders.
Additional Information:
- The candidate should have minimum 2 years of experience in Data Science.
- This position is based at our Manila office.
Minimum 2 year(s) of experience is required
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.
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Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.
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