Data Scientist

Location: Tipperary

*** Mention DataYoshi when applying ***

  • Posted date 15 March 2021
  • LocationTipperary
  • Job type Permanent
  • SalaryNegotiable
  • Discipline Life Sciences
  • ReferenceJO-2011-458710

Our client, a global provider of financial services technology, who are going through an exciting phase of expansion are now looking for a Data Scientist to join the team in Tipperary.

The Data Scientist is a technical expert with deep statistics knowledge who will contribute to the design and implementation of high performance analytics solutions across our Big Data analytics landscape.

  • What you will be doing:
    Contribute to the design the next generation analytics platform and services that will support a range of future data driven products.
  • Use advanced statistics to deliver accurate measures of the performance of AI in complex systems
  • Collaborate with data scientists, developers and product teams to design, building and optimize innovative new products and services.
  • Develop and optimize classifiers and recommenders using machine learning techniques, including feature engineering
  • Conduct testing and evaluation of models and approaches, suggesting improvements and optimizations as well as exploring alternative approaches.
  • Enrich local data with third party sources where available
  • Apply best practice data governance, and ensure data is secured in all times and manners.
  • Process, clean, and verify the integrity of data used for analysis
  • Carry out ad-hoc analysis and presenting results in a clear manner
  • Define ways of working so that complex algorithms developed by data science teams can be effectively productionised.
  • Initiate and follow through on complex projects of both short and long term duration required
  • Work directly with enterprise systems engineering and architects for integration and consolidation.
  • Collaborate within the broader organization on both a technology and business level.
  • Support keeping teams current with technological developments within the industry
  • Provide knowledge transfer associates across the organization
  • Collaborate with others and work as part of a team
  • Be a role model in terms of behaviours and actions that will proactively and positively support the culture that we are building.

  • Knowledge & Skills
    Bachelor’s Degree in mathematics, engineering, computer science, physics or related discipline.
  • Master’s or PhD in statistics or other mathematical discipline would be an advantage
  • The Data Scientist must a have strong understanding and previous hands-on working knowledge within a large enterprise environment with similar technology landscape as outlined below.
  • Excellent oral, written, analytical, problem solving, governance and presentation skills
  • At least 3 years’ experience working in a technology organisation
  • At least 2 years’ experience with advanced statistics.
  • Experience of working in high trust, high performing diverse technical teams with a people first mind-set and focus on a positive company culture
  • Experience with processing and storage of large, complex data sets to satisfy functional and technical business requirements
  • Experience of working with teams operating in an Agile environment
  • Able to quickly assess new projects, propose high level solutions, understand project complexity & risks and map required capabilities.
  • Strong knowledge of fintech and payments industry would be a distinct advantage
  • Knowledge of software development processes and programming – Python and/or R
  • Proficient in relational databases and SQL query development and data manipulation
  • Experience with Python data science stack including sci-kit learn, pandas, numpy and tensorflow frameworks and libraries
  • Experience with Business intelligence software platforms – Tableau, PowerBI, Qlik
  • Experience with Integration of data science solutions into production systems, with appreciation for scalability and robustness of proposed approaches
  • Experience with Big Data tools such as Hive, Impala, PySpark, Hadoop
  • Appreciation of technical security as it applies to data

Apply now or send your CV to for a confidential discussion.

*** Mention DataYoshi when applying ***

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