Wednesday, 6 December 2017

Option module choices for fulltime students

The form for selecting your option modules for semester 2 is now available.  Please complete before Friday 22nd December. 

Module descriptions are available in the Module Catalogue - see links to the left hand side of this page. 

Provisional timetables are available:   DT228A-ASD      DT228A-DA

Wednesday, 22 November 2017

Data Scientist at ESB

For more details and to apply, go to LinkedIn
Job Title: Data Scientist, Technology Innovation Unit
Vacancy No: IN EX17 044
Business Unit: ESB Innovation
Job Type: 3-year fixed-term contract
ESB is pioneering technological advancements and new business opportunities in the clean tech sector. A separate dedicated business line 'ESB Innovation', has been established to provide a strategic focus on these activities. The core purpose of this group is to grow ESB by developing new business lines, innovative customer propositions and pioneer new technologies to advance a low carbon future. For more information please visit:

Position Description
ESB needs to be expert in identifying the right emerging energy technologies and developing new business models around these to deliver growth for ESB. A dedicated Technology Innovation Unit has been set up to work with the business units across ESB Group to identify new opportunities and to develop, pilot and demonstrate new technologies and associated business models.

The Data Scientist will be a member of this team. He/she will develop a thorough understanding of the core business of utilities and innovatively apply advanced big data analytics to exploit data driven operational efficiencies and new business opportunities. Through a series of business pilots, he/she will work closely with ITS and the various business units across ESB Group to demonstrate the business value of big data analytics and to the ongoing development and operationalising of big data analytics across the group.

Key Responsibilities
Key responsibilities include:
  • Develop an understanding of core utility business processes and underlying data
  • Sourcing and application of relevant 3rd party data as appropriate
  • Applying advanced big data analytics solutions to pilot case studies
  • Collaborate with business lines across ESB group to develop and operationalise analytical solutions for business challenges & opportunities
  • Deliver comprehensive and detailed analytical reports
  • Demonstrate the benefit of analytics and promote its use across ESB Group

Knowledge, Skills and Experience
  • Previous experience in relevant data analytics/science role
  • Experience in descriptive and prescriptive modelling
  • Good knowledge of Data Analytics, Data Mining and Machine Learning techniques
  • Experience in applying statistical methods for solution development
  • Fluency in at least one of the following languages: R, Python, SAS, SPSS, Matlab
  • Excellent written and verbal communication skills Desirable
  • Previous experience and understanding of BI technologies or tool sets
  • Experience with visualisation tools
  • Experience with cloud based solutions
  • Previous experience in Lean Product development and Agile software development methodologies
  • Knowledge of open source technologies
  • Strong programming skills
  • Experience in SQL, Hadoop, C++, Javascript
  • Previous experience using Big Data Toolsets and processing large amounts of data Qualifications Relevant 3rd level qualification Location The role will be based in Dublin in our head office Gateway, East Wall Road, Dublin 3.
For more details and to apply, go to LinkedIn

Wednesday, 25 October 2017

Reporting Facility Issues

Dear all

I would like to encourage everyone to make use of the fault report sheets that are provided in every lab room. Students and staff can report issues with labs this way. For example, poor wifi, certain machines not working properly, etc. These sheets are checked daily in order to facilitate a fast turnaround for fixing any issues with the lab facilities.

Kind regards

Tuesday, 24 October 2017

RecommenderX Talk

RecommenderX are coming in to speak to the internship class on Thursday, 9th November @ 1pm in KEG007.  They ended up hiring some graduates last year so they're happy for all students to join the presentation....

 RecommenderX is a Dublin-based software startup, bringing world leading research-based AI and data analytics techniques to enterprise platforms. Started in UCD, with a deep background in information retrieval and recommender systems, the team at RecommenderX have built a range of dynamic and innovative web applications. RecommenderX boasts a highly-skilled team of experienced commercial specialists and the company is working on exciting and diverse cutting-edge projects with large multinationals including 3 of the top banks worldwide. (See video --