Data Scientist

Data Scientist (Contract – Maternity Cover)

Location: Galway (Hybrid)

Working Model: 4 Days Onsite / 1 Day Remote

Contract Type: Fixed-Term Contract (Maternity Cover)

Overview

Our client is seeking an experienced Data Scientist to join a growing Data Science team focused on transforming complex data into actionable business insights and scalable solutions.

This role offers the opportunity to work with large-scale structured datasets, leveraging advanced analytics, machine learning, and cloud technologies to solve real-world business challenges. The successful candidate will play a key role in developing predictive models, uncovering valuable insights, and driving data-led decision-making across the organisation.

This position is ideal for someone who enjoys working in innovative environments, tackling complex problems, and building impactful solutions from concept through to production.

Key Responsibilities

• Apply advanced machine learning techniques, statistical models, and cloud technologies to extract value from large datasets.
• Lead data science projects from inception through to deployment, delivering actionable insights that support business decision-making.
• Collaborate with cross-functional teams including Product, Engineering, and Data teams to define business problems and design analytical solutions.
• Analyse, model, and interpret data to identify trends, patterns, and opportunities for optimisation.
• Develop visualisations, dashboards, and reports to communicate findings effectively to technical and non-technical stakeholders.
• Perform data exploration, cleansing, preparation, modelling, prediction, clustering, and statistical analysis.
• Translate analytical outcomes into meaningful recommendations that drive business impact.
• Support the deployment of scalable machine learning solutions in production environments.
• Champion best practices in data science, analytics, and machine learning.

Required Qualifications & Experience

• Bachelor's or Master's degree in Data Science, Mathematics, Statistics, Physics, Computer Science, or a related discipline.
• 3–5 years of professional experience in a Data Science or Advanced Analytics role.
• Strong understanding of machine learning methodologies, including supervised and unsupervised learning techniques.
• Experience developing and presenting model outputs to engineers, stakeholders, and business users.
• Strong knowledge of statistical analysis, inference, predictive modelling, clustering, classification, regression, and anomaly detection.
• Experience working with large structured and unstructured datasets.
• Proficiency in Python and/or R, SQL, and data visualisation tools such as Tableau.
• Ability to communicate complex analytical findings clearly and effectively.
• Demonstrated experience translating data insights into business recommendations.

Desirable Experience

• Experience with predictive maintenance, reliability modelling, survivability analysis, or asset performance management.
• Exposure to cloud-based data science and machine learning platforms.
• Project leadership experience, including project planning, estimation, and stakeholder management.
• Experience working with engineering, manufacturing, industrial, transportation, automotive, or IoT-related datasets.
• Further postgraduate education in a relevant discipline would be advantageous.

Key Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder engagement abilities.
• Ability to work independently while collaborating effectively within cross-functional teams.
• Passion for innovation and applying data science to solve real-world challenges.
• Results-driven mindset with a focus on delivering measurable business value.