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Data Scientist

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  • Contact:

    Daire Connolly

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  • Published:

    about 1 month ago

One of our leading clients in the financial space is looking for a Data Scientist.

You will join the Analytics team as the expert on Data Science Topics, contributing to or leading new product initiatives around Data Science and the development of the Data elements of the Cloud Platform. These tasks will include

  • Support execution of Data Science Strategy and coordination with other business units.
  • Developing Positioning of Data Science topics and techniques internally and externally.
  • Leading collaborations with Data Science functions in the wider Group.
  • Contributing to the company and product strategy and implementation of Data Initiatives including
    • Architectural Recommendations around data technology, data models, data storage and data analytics.
    • Implementation of Artificial Intelligence, Data Science, Big Data, and modern Information Management.
  • Leading and managing assigned product discovery activities.
  • Contributing to product discovery activities on data or data science related topics.
  • Representing the Analytics Function on projects and leading stakeholder engagement for product development for customer focused data solutions.
  • Staying abreast of current business and industry trends relevant to the business
  • Cultivating and managing business development opportunities.
  • Developing and maintaining long- term client relationships and networks.
  • Support talent management and recruiting activities
  • Playing an active role in counselling and mentoring junior data scientists within the organisation
  • Provide internal training in Data Science

What we are looking for

  • 3+ years’ experience in a relevant role
  • A BA or Master’s in Statistics, Mathematics, Computer Science or another quantitative field
  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills.
  • A drive to learn and master new technologies and techniques.

Technical / Professional Skills

  • Hands-on experience working with natural language processing
  • Coding knowledge and experience with several languages is an advantage, e.g. Java, Node JS, etc.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages, e.g. R, Python, SQL, etc.
  • Experience using web services: Google Cloud AI Platform, Redshift, S3, Spark, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.