Job title
Data Scientist (model building and front-end development)
About us
SME Water Ltd is a provider of invaluable data science services in water network optimisation. Our office boasts a hive mind of knowledgeable experts in hydraulic modelling, leakage targeting, network optimisation and regulatory reporting. Through our unique skills and services, we aim to be a game changer in leakage management, acoustic logging, pressure management and pressure transients.
Job description
Position overview:
We are seeking a highly motivated and experienced Data Scientist to play a crucial role in our Research & Development team. This role will focus on the development of machine learning models, as well as creating intuitive and visually appealing front-end applications for our data-driven solutions.
Key responsibilities:
1. Model building and evaluation:
- Develop and implement advanced machine learning models to solve complex problems within the water industry
- Collaborate with cross-functional teams to gather and preprocess data, perform feature engineering, and ensure data quality
- Evaluate model performance, fine-tune hyperparameters, and optimize models for accuracy and efficiency
- Stay up to date with the latest developments in machine learning and data science techniques
2. Front-end development:
- Design and develop interactive and user-friendly front-end applications to showcase data-driven insights and model predictions
- Create visually appealing data visualisations, dashboards, and reports using modern front-end technologies
- Ensure responsive design and cross-browser compatibility for a seamless user experience
3. Data integration and deployment:
- Integrate machine learning models into production systems and deploy them for real-time or batch processing
- Work closely with DevOps and software engineering teams to ensure smooth deployment and monitor model performance in production environments
4. Documentation and communication:
- Document model development processes, algorithms, and codebase to facilitate knowledge sharing and future enhancements
- Collaborate with team members to define project requirements and deliverables
- Communicate complex technical concepts to non-technical stakeholders effectively
Qualifications and experience
- Bachelor’s degree in computer science, data science, or a related field
- Proven experience in building and deploying machine learning models
- Strong proficiency in Python and front-end technologies (HTML, CSS, JavaScript)
- Knowledge of data visualisation libraries and tools (e.g. Matplotlib, Plotly, Dash)
- Experience with database systems and SQL for data retrieval and manipulation
- Familiarity with cloud platforms (e.g. Azure) and containerisation (e.g. Docker)
Additional information
- Salary £35k - £45k per annum (depending on experience)
- Opportunities for professional development and career growth
- A dynamic and innovative work environment that nurtures creativity and collaboration
How to apply
If you are passionate about data-driven decision-making, have a knack for building sophisticated machine learning models, and enjoy creating engaging front-end applications, we encourage you to apply now. Please submit your CV, cover letter, and a portfolio of relevant projects demonstrating your model building and front-end development skills.