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Occupation Details

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Data Scientist

Job Zone

Education
Most of these occupations require qualifications at NFQ Levels 7 or 8 (Ordinary / Honours Degrees) but some do not.

Related Experience
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, you may need to complete three - four years of college and work for several years in the career area to be considered qualified.

Job Training
Employees in these occupations usually need several years of work-related experience, on-the-job training, and/or vocational training.

Job Zone Examples
Many of these occupations involve coordinating, supervising, managing, or training others. Examples include accountants, sales managers, computer programmers, chemists, environmental engineers, criminal investigators, and financial analysts.

€50k > 75
Data Scientist
Salary Range
(thousands per year)*
€50 - 75
Related Information:
Graduate/Starting Ä35
Senior/Potential (10 yrs exp) Ä75,000+
Data Source(s):
The Insurance Institute of Ireland / Brightwater

Last Updated: May, 2017

* The lower figures typically reflect starting salaries. Higher salaries are awarded to those with greater experience and responsibility. Positions in Dublin sometimes command higher salaries.
Shortage Indicator

Shortages have been identified in the National Skills Bulletin 2017 for the following areas:

Data analytics: "experienced (5 years+) statisticians; economists and data scientists (big data, data visualisations and quantitative modelling)"

Business intelligence: "BI solutions, big data analysts (e.g. Hadoop, Cassandra, SQL), ERP (enterprise resource planning) with SAP"

Systems/solutions architects, Database architects: "(e.g. data centres/data warehousing)"

Engineers: "network (Linux, Open Source), database".

3.9%
Occupational Category

ICT Professionals N.E.C.

Also included in this category:

IT consultants; software testers; systems testers (computing); telecommunications planners; business analysts (computing); system analysts; systems consultants; technical analysts (computing); technical architects; internet developers; multimedia developers; web designers; web design consultants.

Number Employed:

8,500

Part time workers: 6%
Aged over 55: 11%
Male / Female: 79 / 21%
Non-Nationals: 23%
With Third Level: 96%
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At a Glance... header image

Uses strong business acumen, coupled with an ability to communicate data findings to influence how an organisation approaches business challenges.


Videos & Interviews header image

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The Work header image

Data scientists mainly looking at estimating the unknown, for example, building statistical models that help with making decisions based on data. A data scientist is an evolution of the business or data analyst role. Their formal training is similar. They have a solid foundation typically in the areas of computer science and applications, modeling, statistics, analytics and maths.

What sets the data scientist apart is strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organisation approaches a business challenge.

Good data scientists will not just address business problems, they will pick the right problems that have the most value to the organisation. The data scientist role has been described as “part analyst, part artist.”

Anjul Bhambhri, vice president of big data products at IBM, says, “A data scientist is somebody who is inquisitive, who can stare at data and spot trends. It's almost like a Renaissance individual who really wants to learn and bring change to an organisation."

Whereas a traditional data analyst may look only at data from a single source – a CRM system, for example – a data scientist will most likely explore and examine data from multiple, disparate sources. The data scientist will sift through all incoming data with the goal of discovering a previously hidden insight, which in turn can provide a competitive advantage or address a pressing business problem.

A data scientist does not simply collect and report on data, but also looks at it from many angles, determines what it means, then recommends ways to apply the data.

Data scientists are inquisitive: exploring, asking questions, doing “what if” analysis, questioning existing assumptions and processes. Armed with data and analytical results, a top-tier data scientist will then communicate informed conclusions and recommendations across an organization’s leadership structure.


Tasks & Activitiesheader image

The following is a list of the most commonly reported tasks and activities for this occupation

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Analyze problems to develop solutions involving computer hardware and software.

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Assign or schedule tasks to meet work priorities and goals.

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Evaluate project plans and proposals to assess feasibility issues.

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Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.

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Consult with users, management, vendors, and technicians to determine computing needs and system requirements.

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Meet with managers, vendors, and others to solicit cooperation and resolve problems.

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Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers.

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Develop and interpret organizational goals, policies, and procedures.

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Participate in staffing decisions and direct training of subordinates.

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Develop performance standards, and evaluate work in light of established standards.

Work Activities header image

The following is a list of the most commonly reported work activities in this occupation.

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Updating and Using Relevant Knowledge: Keeping up-to-date technically and applying new knowledge to your job.

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Processing Information: Compiling, coding, categorizing, calculating, tabulating, auditing, or verifying information or data.

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Making Decisions and Solving Problems: Analyzing information and evaluating results to choose the best solution and solve problems.

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Thinking Creatively: Developing, designing, or creating new applications, ideas, relationships, systems, or products, including artistic contributions.

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Organizing, Planning, and Prioritizing Work: Developing specific goals and plans to prioritize, organize, and accomplish your work.

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Interpreting the Meaning of Information for Others: Translating or explaining what information means and how it can be used.

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Provide Consultation and Advice to Others: Providing guidance and expert advice to management or other groups on technical, systems-, or process-related topics.

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Interacting With Computers: Using computers and computer systems (including hardware and software) to program, write software, set up functions, enter data, or process information.

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Communicating with Supervisors, Peers, or Subordinates: Providing information to supervisors, co-workers, and subordinates by telephone, in written form, e-mail, or in person.

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Establishing and Maintaining Interpersonal Relationships: Developing constructive and cooperative working relationships with others, and maintaining them over time.


Knowledge header image

The following is a list of the five most commonly reported knowledge areas for this occupation.

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Computers and Electronics: Knowledge of circuit boards, processors, chips, electronic equipment, and computer hardware and software, including applications and programming.

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Mathematics: Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications.

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English Language: Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar.

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Education and Training: Knowledge of principles and methods for curriculum and training design, teaching and instruction for individuals and groups, and the measurement of training effects.

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Telecommunications: Knowledge of transmission, broadcasting, switching, control, and operation of telecommunications systems.


Skillsheader image

The following is a list of the most commonly reported skills used in this occupation.

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Active Learning: Understanding the implications of new information for both current and future problem-solving and decision-making.

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Systems Evaluation: Identifying measures or indicators of system performance and the actions needed to improve or correct performance, relative to the goals of the system.

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Reading Comprehension: Understanding written sentences and paragraphs in work related documents.

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Mathematics: Using mathematics to solve problems.

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Monitoring: Monitoring/Assessing performance of yourself, other individuals, or organizations to make improvements or take corrective action.

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Judgment and Decision Making: Considering the relative costs and benefits of potential actions to choose the most appropriate one.

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Systems Analysis: Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.

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Speaking: Talking to others to convey information effectively.

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Programming: Writing computer programs for various purposes.

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Writing: Communicating effectively in writing as appropriate for the needs of the audience.

Entry Routesheader image

A Bachelors degree in the areas of computer science and applications, modeling, statistics, analytics and maths.

Combined with a Masters in Business Administration (MBA) or relavent postgraduate qualification, related to the particualr industry sector .

Last Updated: October, 2014


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Career Guidance

This occupation is popular with people who have the following Career Interests...


...and for people who like working in the following Career Sectors:

Business Management & Human Resources
Computers & ICT
Physics, Mathematics & Space Science
Accountancy & Taxation

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