Senior Data Scientist
1 week ago
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
- 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.
- Collaborate with a cross-functional team of data scientists, engineers, and subject matter experts to create and develop innovative AI solutions.
- Lead and contribute to technology development for AI research experimentation and innovative prototype development.
- Identify, collect, and curate relevant data from diverse sources, ensuring data quality, privacy, and security compliance.
- Manage and oversee AI projects within your domain, ensuring timely delivery and adherence to quality standards.
- Foster a culture of innovation and knowledge sharing within the AI team.
- Stay up-to-date on the latest advancements in AI research and development.
- Serve as a subject matter expert in AI, providing guidance, consultation, and collaboration across the bank.
- Drive initiatives to promote the adoption of NLP, Generative AI, and Voice AI across the bank.
Key Performance Indicators
- Project and domain performances
- Prototype building and deployment of new strategic initiatives
- Academic and Innovation Interactions
- Improvement to team's Ways of Working
- 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
- Proficiency in Python for data science tasks.
- Familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
- Ability to manage and provision cloud services on platforms like AWS, Azure, or GCP.
- Proficiency in SQL and experience with NoSQL databases.
- Data visualization tools such as Matplotlib, Seaborn, or Plotly.
- Familiarity with analytics tools used for dashboarding such as PowerBI or Tableau.
- Proficiency in version control systems like Git.
Skills Needed
- Effectively communicate and collaborate with stakeholders.
- Deep understanding of fundamental AI concepts.
- Conduct A/B testing experiments to evaluate AI models.
- Experience developing minimum viable product (MVP) applications.
- Excellent problem-solving and analytical skills.
- Ability to work independently with minimal supervision.
Mid-Senior level
Employment typeFull-time
Job functionScience, Engineering, and Information Technology
IndustriesBanking
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