Data Scientist (Contract - Maternity Cover)

About the Role

We are seeking a skilled Data Scientist to join a dynamic team on a fixed-term maternity cover contract based in Galway. This hybrid position requires working on-site four days a week with one remote day. The successful candidate will contribute to transforming complex datasets into practical business insights and scalable analytical solutions.

Responsibilities

• Utilize sophisticated machine learning algorithms, statistical methods, and cloud-based tools to derive meaningful value from extensive datasets.
• Own data science initiatives from conception through deployment, ensuring delivery of insights that facilitate informed business decisions.
• Partner with cross-functional groups such as Product, Engineering, and Data teams to frame business challenges and create analytical approaches.
• Conduct thorough data analysis, modeling, and interpretation to detect trends and optimize outcomes.
• Create visual dashboards and reports tailored for both technical and non-technical audiences to communicate findings.
• Carry out data exploration, cleansing, preparation, model building, prediction, clustering, and statistical evaluation.
• Convert analytical results into actionable recommendations that influence business strategies.
• Assist with scaling machine learning implementations in live production systems.
• Advocate and implement best practices in data science, analytics, and machine learning fields.

Requirements

• Possess a Bachelor’s or Master’s degree in Data Science, Mathematics, Statistics, Physics, Computer Science, or related fields.
• Have between 3 to 5 years of industry experience in data science or advanced analytics roles.
• Strong familiarity with both supervised and unsupervised machine learning methods.
• Experienced in presenting model findings to engineers, stakeholders, and business users clearly and effectively.
• Deep understanding of statistical analysis, including inference, predictive modeling, clustering, classification, regression, and anomaly detection.
• Skilled in handling large structured and unstructured datasets.
• Proficient in Python and/or R, SQL, and competent with data visualization platforms like Tableau.
• Excellent at communicating complex analytical concepts in an accessible manner.
• Proven ability to translate data insights into impactful business advice.

Preferred Qualifications

• Experience in predictive maintenance, reliability modeling, survivability studies, or asset performance management.
• Familiarity with cloud-based data science and machine learning environments.
• Demonstrated project leadership capabilities including planning, estimation, and managing stakeholder expectations.
• Background working with data in engineering, manufacturing, industrial, transportation, automotive, or IoT sectors.
• Postgraduate studies in related disciplines is a plus.

Key Skills and Attributes

• Exceptional analytical and critical thinking skills.
• Strong interpersonal and communication skills for effective stakeholder engagement.
• Capability to operate autonomously, yet collaborate efficiently within diverse teams.
• A passion for innovative data science applications tackling real-world problems.
• A results-oriented approach dedicated to generating quantifiable business benefits.