Job Description Aiimi is seeking a Senior Data Scientist to join our services division and work directly with one of our clients. You will work closely with client stakeholders and cross-functional teams to understand complex problems, architect scalable models, and translate insights into actionable recommendations. Please be aware that this is a client-facing role, which will see you work on-site in Derby and will involve undergoing SC clearance eligibility due to the sensitive nature of the consulting work. Job Requirements Essential: Advanced degree (MSc or PhD) in Data Science, Computer Science, Statistics, or related discipline. Experience in data science or related fields. Strong proficiency in Python, R, or similar programming languages. 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 mentoring or leading junior team members. Desirable: Experience with cloud platforms (Azure, or AWS or GCP) and data engineering workflows. Familiarity with big data tools and technologies. 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. 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 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.