Data Scientist

Morgan McKinley; Ireland; Hybrid; EUR 85,000 - 110,000; Full time

Job summary

Morgan McKinley in Cork, Ireland, is seeking a Senior Data Scientist on a 12-month contract with hybrid work. You will develop production-ready ML solutions and drive data-led decision making in a fast-paced enterprise.

Collaborate with cross-functional teams to build, validate and deploy models, and contribute to model governance in regulated settings such as pharma.

Qualifications

• 3+ years' experience in Data Science or ML.
• Strong Python and SQL programming experience.
• Hands-on experience developing and deploying ML models.
• Experience with PySpark, Spark or Databricks.
• Strong statistical analysis and feature engineering.
• Experience with scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Cloud experience with AWS or Azure.
• Excellent communication with stakeholders.
• MLOps tooling such as MLflow.
• Docker and Kubernetes experience.
• Time series forecasting, NLP or Generative AI.
• Experience in regulated industries such as pharma or life sciences.

Responsibilities

• Design, develop and deploy machine learning and predictive analytics solutions.
• Analyse large, complex datasets to identify trends, insights and business opportunities.
• Build, validate and optimise statistical and machine learning models.
• Collaborate with stakeholders, engineers and data teams to translate business challenges into scalable analytical solutions.
• Present findings and recommendations to both technical and non-technical audiences.
• Contribute to continuous improvement of data science methodologies and model governance.

Skills

Python

SQL

PySpark/Spark/Databricks

Statistical analysis

Feature engineering

scikit-learn

TensorFlow

PyTorch

XGBoost

AWS

Azure

MLflow

Docker

Kubernetes

Time series forecasting

NLP

Generative AI

Regulated/pharma experience

Tools

Spark

Databricks

AWS

Azure

MLflow

Job description

Senior Data Scientist – 12 Month Contract

Location: Cork (Hybrid)

Duration: Initial 12-month contract with potential extension

This is an excellent opportunity for someone who enjoys working with cross-functional teams, building production-ready machine learning solutions, and driving data-led decision making in a fast-paced enterprise environment.

Key Responsibilities

• Design, develop and deploy machine learning and predictive analytics solutions.
• Analyse large, complex datasets to identify trends, insights and business opportunities.
• Build, validate and optimise statistical and machine learning models.
• Collaborate with business stakeholders, engineers and data teams to translate business challenges into scalable analytical solutions.
• Present findings and recommendations to both technical and non-technical audiences.
• Contribute to the continuous improvement of data science methodologies, best practices and model governance.

Required Skills & Experience

• 3+ years' experience in Data Science or Machine Learning.
• Strong commercial experience with Python and SQL.
• Hands-on experience developing and deploying machine learning models.
• Experience working with PySpark, Spark, or Databricks.
• Strong understanding of statistical analysis, predictive modelling and feature engineering.
• Experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Experience working within cloud environments such as AWS or Azure.
• Excellent communication skills with the ability to engage with technical and business stakeholders.
• MLOps tools such as MLflow.
• Docker and Kubernetes.
• Time series forecasting, NLP or Generative AI.
• Experience within pharmaceutical, life sciences, medical device or other highly regulated industries.