> Markdown version of [/jobs/ext/2835872-data-scientist](https://www.wearedevelopers.com/jobs/ext/2835872-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Morgan McKinley - **Location:** Cork, KY, United States (Remote available) - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Python (Programming Language), Machine Learning, Tensorflow, SQL Databases, Cloud Platform System, Feature Engineering, Pytorch, Apache Spark, Generative AI, Pyspark, Scikit Learn, Xgboost, Machine Learning Operations, Docker, Databricks - **Published:** September 10, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/kzdpng1yfg ## About the Role * 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. Desirable Experience * 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. ## Description * 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Explainable machine learning explained](https://www.wearedevelopers.com/videos/589-explainable-machine-learning-explained) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)