Data Scientist

Job Description

Aiimi is seeking a Data Scientist to join our consulting department and to 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 the successful candidate work on-site 5 days per week in Derby, and will require UK Security Clearance eligibility due to the sensitive nature of the work.

Job Requirements

Essential:

• A degree in Data Science, Computer Science, Statistics, or related discipline, or equivalent academic experience.
• Experience in data science or related fields.
• Strong proficiency in Python, R, or similar programming languages.
• Experience with machine learning, statistical modelling (including time series analysis), 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.
• Eligible for security clearance.

• Advanced degree (MSc or PhD) in Data Science, Computer Science, Statistics, or related discipline.
• Experience in a consultancy environment or working with clients.
• Experience with data engineering workflows.
• Familiarity with big data tools and technologies.
• Relevant certifications in data science.
  
  

• Support the end-to-end development and deployment of machine learning and models tailored to client needs.
• Perform 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.
  
  

• 25 Days holiday (excluding bank holidays) – increasing by a day every 2 years.
• Flexible start and end times, providing that core working hours are covered.
• 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.