| Company |
Affinity Water |
| Job title |
Data Scientist – Technology |
| Job location |
Hatfield, England, UK |
| Type |
Full Time |
Responsibilities:
- Perform initial discovery and data analysis, collaborating with Data Analysts, Data Engineers, and business SMEs.
- Ensure data integrity, quality, and security principles and best practices in collaboration with the Data Governance Lead.
- Develop and maintain automated data pipelines and workflows for data collection, analysis, and reporting.
- Utilise machine learning, deep learning, NLP, generative AI, and other advanced statistical methods to build predictive and descriptive models.
- Validate and refine models to ensure accuracy and reliability.
- Collaborate with stakeholders across all business functions to understand challenges and objectives.
- Communicate findings and recommendations to non-technical stakeholders through clear visualizations.
- Identify opportunities for leveraging data to drive business strategies.
- Stay updated with the latest advancements in data science and machine learning.
- Conduct research to explore new methodologies and applications in the water sector.
- Ensure data practices adhere to ethical standards and regulatory requirements.
- Implement best practices for data management, governance, and quality assurance.
- Provide 2nd / 3rd line support for data science models in production environments.
- Support the administration, installation, and configuration of existing data science models and infrastructure.
- Handle incidents and requests efficiently, ensuring thorough documentation and knowledge transfer to colleagues.
Requirements & Skills:
- Proficient in Python, R, shell, and SQL.
- Extensive experience with machine learning & deep learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience in connecting to and building APIs for processing large and complex data sets.
- Ability to present data insights to a range of technical and non-technical audiences.
- Skilled in building credible statistical models and using best coding practices.
- Knowledge of various learning algorithms (supervised, unsupervised, reinforcement).
- Experience with AWS services and deployment methodologies.
- Competent in handling large datasets, both structured and unstructured.
- Thorough understanding of open data sources and big data sets in the water industry.
- Experience with MLOps practices is desirable.
- An understanding of data governance and data management frameworks is desirable.
- Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Minimum of 5 years experience in data science, with a proven track record in leading and managing projects.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Experience in agile project delivery.
- Self-motivated, flexible, team player with a positive approach.
- Continuously seeking to expand technical and leadership skills.
- Exposure to water industry data and systems is advantageous.
- Leadership experience in stakeholder and team management, and project oversight is desirable.
