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Senior Data Scientist

  • Salary: Negotiable
  • Job type: Contract
  • Location: Dublin
  • Sector: Other
  • Date posted: 10/05/2017
  • Job reference: J366023A

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Senior NLP Data Scientist


Key Responsibilities:

In this role, you will be handling the following (but not limited to) responsibilities:

  • Provide Expertise in big data analytics with a focus on Natural Language Processing (NLP)
  • Selecting features, building and optimizing classifiers using statistical approaches and machine learning techniques
  • Monitor the team's overall progress within all aspects of their programs and projects, as well as proactively responding to any risks or issues, which may arise.
  • Create / Contribute to new the creation of new innovation project proposals including the pre socialisation with stakeholders, the creation of business cases, cost and revenue projections.
  • Manage multiple concurrent initiatives and projects of varying sizes and complexity
  • Create new maintain existing partner and vendor relationships.
  • Effective upward and downward communication on all notable progress to all key stakeholders

Development Value:

This role provides significant opportunities:

  • You will gain significant experience of the technologies and businesses involved across the clients applications, giving you exposure to new and existing methodologies and systems as well as the opportunity to work with multiple teams around the globe.
  • As a member of the Innovation Lab you will have to opportunity to work with a team of highly motivated, T-shaped, smart individuals whose daily job is to think out of the box and look for disruptive opportunities with a commercial benefit.
  • Exposure to newly released and upcoming technologies and the ability to positively contribute to the strategies of the business
  • By working within the senior leadership team of the innovation network you will be highly visibly across the
  • Will have access to a get number of the client's executive management team.


Knowledge / Experience

  • Doctorate Degree in Computer Science, Engineering, Statistics, Math, or related disciplines.
  • Experience of applied research, experimental development and early design activities to validate/invalidate ideas with a focus on analysing and manipulating data.
  • Extensive experience of natural language processing experience through research and applied projects
  • Extensive experience in delivering machine learning algorithms that are used at scale in Production environments to deliver Natural Language Processing (NLP)-based products and services.
  • Extensive experience tackling problems involving Big Data, e.g., using the Apache Spark / Hadoop stack.
  • Solid and proven background and experience with Python, R, Java or Scala for large scale data analytic
  • Proficiency with SQL and NoSQL environments.
  • Excellent presentation and communication skills to explain results and methodologies to non-technical stakeholders.


  • Creative problem solver comfortable with working in rapidly evolving landscape and projects loaded with uncertainty.
  • Technologically strong and business savvy.
  • Ability to collaborate effectively across diverse groups from senior stakeholders and clients to junior team members.
  • Strong Natural Language Processing skills - entity/relation extraction, normalization, summarisation, word/paragraph/document embedding, ranking, question answering, text/ sentiment classification, etc.
  • Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), statistical modelling (lR).
  • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.


  • Doctorate or Master's Degree in Computer Science, Engineering, Statistics, Math, or related disciplines
  • A bachelor's degree or post-graduate qualifications (Innovation / Banking field desirable)
  • Experience working with innovative and emerging technology.
  • Exceptional candidates who do not meet these criteria may be considered for the role provided they have the necessary skills and experience.


  • Work effectively in cross-organizational situations and be enthusiastic about delivering quality solutions while working with world-class teams, processes and tools.
  • Highly effective written and oral communication skills
  • Demonstrate excellent technical knowledge and equally enthusiastic about business acumen.
  • Promote teamwork and maintain effective communication within and across groups.
  • Promote and drive continuous process improvement especially in code quality, testability and reliability.
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