Role - Data Scientist (Intermediate) /Role no 50&51
Number of Positions: Two (2)
Location: Onsite location: Dublin 2 Ireland
Contract Details
- Start Date: 1st July 2026
- Engagement Type: initial 12 months Full-Time with possibility of further extension
Mandatory Requirements (Pass/Fail)
1. Experience Level Required
It is a mandatory requirement that the Resource proposed has the equivalent of senior level (4 to 6 years) experience
2. Availability on Commencement Date
The resource must be available to provide services from the commencement date of the services estimated to be 1st July 2026.
3. English Language Proficiency
Native English speaker OR
CEFR C2 Proficiency/Mastery (or equivalent)
If there is no certificate fluency will be assessed at presentation stage
Requirements
Role Specifications and Requirements
1. Key Deliverables
The following non-exhaustive list of Key Deliverables are applicable to this Role.
Experience in statistical mathematical predictive modelling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.
Ability to communicate their findings orally and visually to a variety of audiences.
Ability to understand how the products are developed and even more important as big data touches the privacy of consumers; they need to have a set of ethical responsibilities.
Ability to understand how to integrate multiple systems and data sets.
Ability to link and mash up distinctive data sets to discover new insights. This often requires connecting different types of data sets in different forms as well as being able to work with potentially incomplete data sources and cleaning data sets to be able to use them.
2. Key Experience/Competencies/Skillsets
The following Experience/Competencies/Skillsets are applicable to this Role. The CV for the proposed Resource as set out in the Response Document must clearly and comprehensively demonstrate the Resources proven experience with the following:
Fulfilling the responsibilities of the role as set out above in 1. Key Deliverables
Required Skills:
Role Specifications and Requirements 1. Key Deliverables The following non-exhaustive list of Key Deliverables are applicable to this Role. Experience in statistical mathematical predictive modelling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. Ability to communicate their findings orally and visually to a variety of audiences. Ability to understand how the products are developed and even more important as big data touches the privacy of consumers; they need to have a set of ethical responsibilities. Ability to understand how to integrate multiple systems and data sets. Ability to link and mash up distinctive data sets to discover new insights. This often requires connecting different types of data sets in different forms as well as being able to work with potentially incomplete data sources and cleaning data sets to be able to use them. 2. Key Experience/Competencies/Skillsets The following Experience/Competencies/Skillsets are applicable to this Role. The CV for the proposed Resource as set out in the Response Document must clearly and comprehensively demonstrate the Resources proven experience with the following: Fulfilling the responsibilities of the role as set out above in 1. Key Deliverables
Role - Data Scientist (Intermediate) /Role no 50&51Number of Positions: Two (2)Location: Onsite location: Dublin 2 IrelandContract DetailsStart Date: 1st July 2026Engagement Type: initial 12 months Full-Time with possibility of further extension Mandatory Requirements (Pass/Fail)1. Experience ...
Role - Data Scientist (Intermediate) /Role no 50&51
Number of Positions: Two (2)
Location: Onsite location: Dublin 2 Ireland
Contract Details
- Start Date: 1st July 2026
- Engagement Type: initial 12 months Full-Time with possibility of further extension
Mandatory Requirements (Pass/Fail)
1. Experience Level Required
It is a mandatory requirement that the Resource proposed has the equivalent of senior level (4 to 6 years) experience
2. Availability on Commencement Date
The resource must be available to provide services from the commencement date of the services estimated to be 1st July 2026.
3. English Language Proficiency
Native English speaker OR
CEFR C2 Proficiency/Mastery (or equivalent)
If there is no certificate fluency will be assessed at presentation stage
Requirements
Role Specifications and Requirements
1. Key Deliverables
The following non-exhaustive list of Key Deliverables are applicable to this Role.
Experience in statistical mathematical predictive modelling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.
Ability to communicate their findings orally and visually to a variety of audiences.
Ability to understand how the products are developed and even more important as big data touches the privacy of consumers; they need to have a set of ethical responsibilities.
Ability to understand how to integrate multiple systems and data sets.
Ability to link and mash up distinctive data sets to discover new insights. This often requires connecting different types of data sets in different forms as well as being able to work with potentially incomplete data sources and cleaning data sets to be able to use them.
2. Key Experience/Competencies/Skillsets
The following Experience/Competencies/Skillsets are applicable to this Role. The CV for the proposed Resource as set out in the Response Document must clearly and comprehensively demonstrate the Resources proven experience with the following:
Fulfilling the responsibilities of the role as set out above in 1. Key Deliverables
Required Skills:
Role Specifications and Requirements 1. Key Deliverables The following non-exhaustive list of Key Deliverables are applicable to this Role. Experience in statistical mathematical predictive modelling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. Ability to communicate their findings orally and visually to a variety of audiences. Ability to understand how the products are developed and even more important as big data touches the privacy of consumers; they need to have a set of ethical responsibilities. Ability to understand how to integrate multiple systems and data sets. Ability to link and mash up distinctive data sets to discover new insights. This often requires connecting different types of data sets in different forms as well as being able to work with potentially incomplete data sources and cleaning data sets to be able to use them. 2. Key Experience/Competencies/Skillsets The following Experience/Competencies/Skillsets are applicable to this Role. The CV for the proposed Resource as set out in the Response Document must clearly and comprehensively demonstrate the Resources proven experience with the following: Fulfilling the responsibilities of the role as set out above in 1. Key Deliverables
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