Senior Data Scientist
Role details
Job location
Tech stack
Job description
Senior Data Scientist
Our client, a leading global supplier for IT services, requires Senior Data Scientist to be based at their client's office in Coventry, UK.
This is a hybrid role - you can work remotely in the UK and attend the Coventry office 3 days per week .
This is a 12 month temporary contract to start asap
Day rate: Competitive Market rate
Key Responsibilities
- Can quickly grasp complex business problems and understand how to leverage data and apply Artificial Intelligence and Machine Learning to support in solving the required challenge.
- Lead the design and delivery of complex data science projects from ideation through to deployment, monitoring and support.
- Develop and deploy sophisticated machine learning, statistical and AI models using scalable cloud-based infrastructure (eg, Microsoft Azure Machine Learning (ML), Databricks).
- Development of AI LLM and Chat bot
- Ensure models are explainable, ethical, and aligned with regulatory and business standards.
- Own the full lifecycle of models, including monitoring, retraining, and performance optimisation.
- Establish and enforce best practices for model governance, versioning and documentation.
- Collaborate with data engineers to design robust, scalable data pipelines and ensure data quality and availability.
- Lead code reviews, knowledge-sharing sessions, and contribute to team capability development.
- Manage project timelines, risks, and dependencies, ensuring high-quality delivery in a fast-paced agile environment.
Key Requirements
- BSc minimum, MSc or PhD in a STEM field (eg, Data Science, Computer Science, Mathematics, Statistics, Artificial Intelligence) strongly preferred.
- 3-5+ years of professional experience in data science or a related field, with a proven track record of delivering impactful solutions.
- Deep understanding of CRISP-DM, ML Ops, Agile delivery, and ITIL or similar service management frameworks.
- Recognized as a "Thought Leader" in the field of artificial intelligence and machine learning.
Core Technical Skills:
- Expert-level proficiency in Python and SQL; experience with software engineering practices such as modular design, testing, and CI/CD.
- Deep expertise in a wide range of ML techniques (eg, ensemble methods, NLP, time-series forecasting, deep learning); familiarity with model interpretability and fairness tools.
- Experience of creating chat bot
- Strong experience with Microsoft Azure architecture (Azure ML, Azure Synapse), and containerization tools (eg, Docker, Kubernetes).
- Advanced knowledge of statistical modelling, causal inference, and experimental design (eg, A/B testing).
- Ability to craft compelling data narratives using Power BI
- Familiarity with ML flow, or similar tools for model tracking and reproducibility.
Desirable Skills:
- Domain knowledge. Understanding of the water industry.
- Collaborate with customers and stakeholders.
- Grow your career, while being exposed to new technologies.
- Lead projects and inspire both colleagues and stakeholders.
- Mentor junior employees using your expertise
Due to the volume of applications received, unfortunately we cannot respond to everyone.
If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion.
Please do keep an eye on our website https://projectrecruit.com/jobs/for future roles.
Requirements
- BSc minimum, MSc or PhD in a STEM field (eg, Data Science, Computer Science, Mathematics, Statistics, Artificial Intelligence) strongly preferred.
- 3-5+ years of professional experience in data science or a related field, with a proven track record of delivering impactful solutions.
- Deep understanding of CRISP-DM, ML Ops, Agile delivery, and ITIL or similar service management frameworks.
- Recognized as a "Thought Leader" in the field of artificial intelligence and machine learning.
Core Technical Skills:
- Expert-level proficiency in Python and SQL; experience with software engineering practices such as modular design, testing, and CI/CD.
- Deep expertise in a wide range of ML techniques (eg, ensemble methods, NLP, time-series forecasting, deep learning); familiarity with model interpretability and fairness tools.
- Experience of creating chat bot
- Strong experience with Microsoft Azure architecture (Azure ML, Azure Synapse), and containerization tools (eg, Docker, Kubernetes).
- Advanced knowledge of statistical modelling, causal inference, and experimental design (eg, A/B testing).
- Ability to craft compelling data narratives using Power BI
- Familiarity with ML flow, or similar tools for model tracking and reproducibility.
Desirable Skills:
- Domain knowledge. Understanding of the water industry.
- Collaborate with customers and stakeholders.
- Grow your career, while being exposed to new technologies.
- Lead projects and inspire both colleagues and stakeholders.
- Mentor junior employees using your expertise
Benefits & conditions
This is a 12 month temporary contract to start asap
Day rate: Competitive Market rate