Senior Data Scientist

1 week ago


Pasig, National Capital Region, Philippines UnionBank of the Philippines Full time
Senior Data Scientist - Natural Language Processing & Voice

Job Summary

You will be mainly working as a senior data scientist as a lead of NLP and Voice projects in the NLP and Voice domain. You will work with a group of data scientists in a Research and Development group. The roles and task assignments in the team are dynamic, and you, along with other data scientists, will work on multiple strategic projects with cutting-edge innovation potential to create POCs of innovative ideas starting from ideation to development and implementation.

Essential Duties and Responsibilities

  1. Collaborate closely with business stakeholders to understand their processes, business problems, challenges, and objectives. Identify opportunities to leverage AI and the respective domain expertise to drive efficiency, improve decision-making, and enhance customer experience.
  2. Collaborate with a cross-functional team of data scientists, engineers, and subject matter experts to create and develop innovative AI solutions.
  3. Lead and contribute to technology development for AI research experimentation and innovative prototype development.
  4. Identify, collect, and curate relevant data from diverse sources, ensuring data quality, privacy, and security compliance.
  5. Manage and oversee AI projects within your domain, ensuring timely delivery and adherence to quality standards.
  6. Foster a culture of innovation and knowledge sharing within the AI team.
  7. Stay up-to-date on the latest advancements in AI research and development.
  8. Serve as a subject matter expert in AI, providing guidance, consultation, and collaboration across the bank.
  9. Drive initiatives to promote the adoption of NLP, Generative AI, and Voice AI across the bank.

Key Performance Indicators

  1. Project and domain performances
  2. Prototype building and deployment of new strategic initiatives
  3. Academic and Innovation Interactions
  4. Improvement to team's Ways of Working
  5. Enterprise-wide adoption of Generative AI

Educational Attainment

Preferably a Master's degree in a field related to AI and Data Science, such as Computer Science, Statistics, Data Engineering, Applied Mathematics, etc.

Tools Needed

  1. Proficiency in Python for data science tasks.
  2. Familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
  3. Ability to manage and provision cloud services on platforms like AWS, Azure, or GCP.
  4. Proficiency in SQL and experience with NoSQL databases.
  5. Data visualization tools such as Matplotlib, Seaborn, or Plotly.
  6. Familiarity with analytics tools used for dashboarding such as PowerBI or Tableau.
  7. Proficiency in version control systems like Git.

Skills Needed

  1. Effectively communicate and collaborate with stakeholders.
  2. Deep understanding of fundamental AI concepts.
  3. Conduct A/B testing experiments to evaluate AI models.
  4. Experience developing minimum viable product (MVP) applications.
  5. Excellent problem-solving and analytical skills.
  6. Ability to work independently with minimal supervision.
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Science, Engineering, and Information Technology

Industries

Banking

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