Data Scientist
TechJobs.ie Job Insights
At a glance
- Employment type
- Full-time
- Workplace
- Hybrid
- Salary
- €70k-80k/year (EUR)
- Category
- Data engineering
Technologies & skills
What you'll be doing
Data Scientist role in Ireland (hybrid). Work with a data-driven leadership team to deliver actionable insights. Requires strong Python or R, SQL, statistics, and experience in experiments, forecasting, or predictive models. Ability to communicate findings to non-technical colleagues is essential.
Key requirements
Must-have
- 4+ years in data science or advanced analytics
- Strong Python or R
- Strong SQL
- Solid grounding in statistics
- Experience with experiments, forecasting or predictive models
- Ability to explain technical findings to non-technical colleagues
Nice-to-have
- Experience putting a model into production or working with ML engineers
- Experience with a cloud platform (AWS, Azure, or GCP)
- Experience with Databricks
Experience: 4+ years in data science or advanced analytics
Role signals
- Technical focus
- data science, analytics, statistics, predictive modeling
- Hands-on vs management
- Hands-on
Similar jobs
Full job description
Data Scientist | Dublin, hybrid |
Our client has plenty of data and a leadership team that wants to use it properly. They're hiring a Data Scientist whose work turns into real decisions, not slides that get forgotten.
-
You'll probably have:
- 4+ years in data science or advanced analytics
-
Strong Python or R, and SQL
-
A solid grounding in statistics: you can explain why a result matters, not just that it does
-
Experience with experiments, forecasting or predictive models
-
The ability to explain technical findings to non-technical colleagues
-
It would be a bonus if you've:
- Put a model into production, or worked alongside ML engineers who did
-
Used a cloud platform (Azure, AWS or GCP) or Databricks
-
What's in it for you:
- Hybrid working
Reperio Human Capital acts as an Employment Agency and an Employment Business.
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
Based on this listing, the role is a hands-on Data Scientist position in Ireland, focused on applying advanced analytics, statistical modeling, and clear communication to drive real business decisions.
- Hands-on analytics and modeling·High
- Business impact and communication·High
- Cloud and modern data tools·Medium
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review Key Data Science Projects
0–8 minSelect 2-3 projects that showcase your impact, technical skills, and communication abilities.
Refresh Statistical and Experimental Design Knowledge
8–15 minStudy statistical methods, experiment design, and interpretation relevant to business analytics.
Practice Explaining Technical Concepts Simply
15–20 minPrepare concise explanations of complex findings for non-technical audiences.
Revisit Python/R and SQL Code Samples
20–25 minReview scripts or notebooks that demonstrate your proficiency and problem-solving approach.
Research Cloud Platforms and Databricks Usage
25–30 minFamiliarize yourself with the team's likely tech stack and prepare to discuss your experience or learning plan.
Talking points
, 5 itemsApplying Statistical Methods to Business Problems
Demonstrate your ability to select and explain statistical techniques that drive actionable insights, not just theoretical results.
Building and Deploying Predictive Models
Showcase experience in developing, validating, and (ideally) deploying models that impact business outcomes.
Programming Proficiency in Python or R and SQL
Highlight your hands-on skills in data manipulation, analysis, and model implementation using these core languages.
Designing and Interpreting Experiments
Prepare examples where you designed or analyzed experiments (e.g., A/B tests) to inform decisions.
Translating Technical Findings for Non-Technical Audiences
Demonstrate your ability to bridge the gap between data science and business stakeholders, ensuring insights are understood and actionable.
What to research
, 4 itemsReview Advanced Statistical Methods
Refresh your knowledge of statistical techniques relevant to experiments, forecasting, and predictive modeling.
Prepare Examples of Business Impact
Identify projects where your data science work led to real business decisions or measurable outcomes.
Brush Up on Python/R and SQL Skills
Be ready to discuss and, if needed, demonstrate your coding proficiency in these languages.
Familiarize Yourself with Cloud Platforms and Databricks
Review your experience with AWS, Azure, GCP, or Databricks, and be prepared to discuss relevant projects.
Questions to ask
, 6 itemsHow does the data science team collaborate with business stakeholders to ensure insights are actionable?
Why ask this? Clarifies the team's integration with decision-makers and the impact of your work.
What types of data and business problems are most common in this role?
Why ask this? Helps you understand the primary focus areas and challenges you'll address.
What is the process for moving models from development to production?
Why ask this? Reveals the maturity of the team's deployment practices and your potential involvement.
Which cloud platforms and tools are most commonly used by the team?
Why ask this? Ensures alignment with your technical background and identifies learning opportunities.
How is success measured for data science projects here?
Why ask this? Clarifies expectations and how your contributions will be evaluated.
What opportunities exist for professional development and learning new technologies?
Why ask this? Shows your interest in growth and staying current in the field.
Register now to upload your CV
Create a free account, save a PDF or Word CV, and quick apply on roles that take applications here.