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Data scientist

Dublin
Realtime Recruitment
Data scientist
Posted: 9 January
Offer description

**FTC for 12 months-with a view moving to perm**

I'm partnering with a leading client looking for a technically strong and commercially minded
Data Scientist
with 3–5 years of experience. This role is ideal for someone who enjoys working hands-on with data while also translating complex analysis into clear,
actionable insights for a non-technical audience.

You will work closely with stakeholders across the business, helping them understand data, make better decisions, and uncover opportunities through advanced analytics and visualisation.

Key Responsibilities

* Develop and deliver advanced analytics and data science solutions to solve real-world business problems.
* Work with large, complex datasets to extract insights using statistical and analytical techniques.
* Build and maintain dashboards and reports using
Power BI
to communicate insights clearly.
* Collaborate with non-technical stakeholders to understand requirements and present findings in a clear, compelling way.
* Design and support data models and contribute to ETL processes.
* Work within cloud and analytics platforms including
Databricks
,
BigQuery
, and
Google Analytics
.
* Operate effectively in a fast-paced environment with multiple priorities and stakeholders.

Skills & Experience

* 3–5 years' experience
in a data science or advanced analytics role.
* Strong proficiency in
SQL
and scripting languages such as
Python or R
.
* Hands-on experience with
Power BI
for dashboard development and reporting.
* Previous experience working with
Databricks
,
Google Analytics
, and
BigQuery
in a production or project environment.
* Solid understanding of
data modeling
,
ETL processes
, and working with large, complex datasets.
* Strong grasp of
statistical concepts
(regression, hypothesis testing, inference) and the ability to apply them to practical business problems.
* Excellent communication skills
, with a proven ability to explain technical concepts and present insights to non-technical audiences.
* Comfortable working in a
fast-paced, dynamic environment
with changing priorities.
* Degree in
Computer Science, Mathematics, Data Analytics
, or a related field (or equivalent professional experience).

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