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.