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Data Scientist (Machine Learning & AI)

Closing: Jul 15, 2024

This position has expired

Published: Jul 9, 2024 (11 days ago)

Job Requirements

Education:

Work experience:

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Job Summary

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The Person

For the above position, the successful applicant should have the following:

  • Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Economics, Mathematics, Business or Physics.
  • Master’s degree and professional qualifications will be added advantage.
  • 2+ years of experience of software development with Python/Scala/R/ C++/technical languages.
  • 1+ years working with Artificial Intelligence / Machine Learning tools and techniques.
  • Experience building deep learning solutions for real-world applications, such as Computer Vision, Natural Language Processing, time-series analysis or anomaly detection.
  • Sound understanding of Financial Services/Insurance technologies.
  • Excellent relationship management skills.
  • 2+ years of experience with Machine Learning or Artificial Intelligence techniques in one or more of the following: advanced neural network architectures, regression, classification and clustering.
  • Demonstrated ability in the application of Machine Learning or AI in realworld settings with large scale data.
  • Experience with Deep Learning tools such as TensorFlow, PyTorch or other frameworks on GPUs.
  • Experience with Agile software development.
  • Experience with parallel and distributed computing is a plus.
  • Strong oral and written skills.


Responsibilities

The Person

For the above position, the successful applicant should have the following:

  • Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Economics, Mathematics, Business or Physics.
  • Master’s degree and professional qualifications will be added advantage.
  • 2+ years of experience of software development with Python/Scala/R/ C++/technical languages.
  • 1+ years working with Artificial Intelligence / Machine Learning tools and techniques.
  • Experience building deep learning solutions for real-world applications, such as Computer Vision, Natural Language Processing, time-series analysis or anomaly detection.
  • Sound understanding of Financial Services/Insurance technologies.
  • Excellent relationship management skills.
  • 2+ years of experience with Machine Learning or Artificial Intelligence techniques in one or more of the following: advanced neural network architectures, regression, classification and clustering.
  • Demonstrated ability in the application of Machine Learning or AI in realworld settings with large scale data.
  • Experience with Deep Learning tools such as TensorFlow, PyTorch or other frameworks on GPUs.
  • Experience with Agile software development.
  • Experience with parallel and distributed computing is a plus.
  • Strong oral and written skills.


  • Analyze source data and data flows, working with structured and unstructured data.
  • Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships and trends.
  • Apply AI and Machine Learning technology to solve complex, real-world problems.
  • Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely.
  • Fulfill problem formulation and ML technique consulting requests in a timely manner.
  • Communicate and present analytical models to business customers and executive management.
  • Work collaboratively with different business partners and be able to present results in a clear and concise manner.
  • Design, develop, and implement state-of-the-art AI techniques; reproduce and apply existing algorithms/methods/models for financial applications.
  • Innovate and advance AI techniques; evaluate and improve AI algorithms/methods/models currently used.
  • Assist with image data curation, processing, and analysis; create and maintain optimal data pipelines by conducting regular quality and reproducibility checks.
  • Assist with developing and deploying AI educational workshops/seminar series for research faculty/staff to accelerate AI adoption.
  • Communicate results/findings; draft and edit scientific abstracts, presentations, and journal articles. Present work at workshops, seminars, and conference proceedings within and outside of ICEA LION.


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