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Data Scientist/Engineer

An innovative fintech startup is looking for a highly skilled Data Scientist/Engineer to join the company.


  • Lead the development and implementation of AI and machine learning models to solve complex challenges in financial market analysis.

  • Conduct comprehensive data analysis and robust research to inform model development and feature creation.

  • Collaborate with product and engineering teams to integrate AI technologies into the products and services.

  • Design and execute experiments and predictive models to understand data patterns and provide actionable insights.

  • Publish research findings in internal reports and external publications and present at conferences to establish thought leadership.

  • Stay abreast of industry trends and advancements in AI and machine learning, continuously exploring new tools and technologies that could benefit the company.

  • Establish data governance and best practices within the company as the first specialist in this area.


  • PhD or Master’s degree in Computer Science, Data Science, Statistics, or a related field.

  • 5+ years experience in data science, machine learning, data engineering or a related field, with a proven track record of leveraging AI to solve real-world problems.

  • Experience in developing NLP/LLM models in a near production environment.

  • Very strong proficiency in programming Python language.

  • Experience with machine learning frameworks (e.g., TensorFlow, Keras, PyTorch) and libraries (e.g., scikit-learn, Pandas).

  • Excellent skills in data manipulation and analysis of large datasets and search algorithms.

  • Familiarity with time series, cross sentinel and textual data sets.

  • Ability to communicate complex data in a clear and actionable manner to technical and non-technical stakeholders.

  • Experience in deploying models/prototypes to production and understanding of model lifecycle management.

  • Knowledge in financial markets - advantage.

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