Senior Data Scientist

Job Description

Aiimi is seeking a Senior Data Scientist to join our services division and work directly with one of our clients.
As a Senior Data Scientist, you will take a leading role in designing, developing, and deploying advanced analytical models and AI solutions that drive business value. 

You will work closely with client stakeholders and cross-functional teams to understand complex problems, architect scalable models, and translate insights into actionable recommendations. This role suits a proactive, technically skilled data scientist who has experience working in the water sector.

Job Requirements

Essential: 

• 4-6 years’ of professional experience in data science or related fields. 
• Degree in Data Science, Computer Science,  Statistics, or related discipline. 
• Strong proficiency in Python, R, or similar programming languages, including libraries such as scikit-learn,  TensorFlow, PyTorch. 
• Extensive experience with machine learning,  statistical modelling, and data mining techniques. 
• Expertise in data wrangling, feature engineering,  and working with large, complex datasets. 
• Experience deploying models to production and knowledge of MLOps practices. 
• Excellent communication skills, able to explain complex technical concepts to diverse audiences. 
• Demonstrated ability to manage client relationships and deliver impactful presentations. 
• Experience working in the water industry.
• Experience mentoring or leading junior team members. 

Desirable: 

• Experience with cloud platforms Azure, or similar and data engineering workflows. 
• Familiarity with big data tools and technologies. 
• Knowledge of AI governance, bias mitigation, and ethical considerations. 
• Relevant certifications in AI, data science, or project management. 

 
 

Job Responsibilities

• Lead the end-to-end development and deployment of machine learning and AI models tailored to client needs. 
• Perform advanced data analysis, feature engineering, and model selection to build robust predictive and prescriptive models. 
• Collaborate closely with clients, Product Owners,  Engineers, and Analysts to ensure solutions are aligned with business goals. 
• Validate and monitor model performance, ensuring accuracy, scalability, and compliance with ethical standards. 
• Mentor junior data scientists and analysts, providing technical guidance and knowledge sharing. 
• Contribute to proposal development, client workshops, and technical presentations. 
• Support the integration of models into production environments, working with data engineers and DevOps teams. 
• Stay up-to-date with emerging AI and data science trends, tools, and best practices, advocating continuous improvement. 
• Influence and help develop internal data science standards, tools, and methodologies. 

 

Job Benefits

• 25 Days holiday (excluding bank holidays) – increasing by a day every 2 years.
• Flexible working options – hybrid.
• Mental health and wellbeing support, including access to counselling.
• Annual wellbeing allowance (e.g. personal training, fitness, wellness apps).
• Up to 10% of your salary in employee benefits, including critical illness cover, life insurance, and private healthcare (post-probation).
• Generous company pension contribution.
• Ongoing professional development and training opportunities.