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. 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.

Desirable

• 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.

Job Responsibilities

• Support the end‑to‑end development and deployment of machine learning 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.

Job Benefits

• 25 days holiday (excluding bank holidays), increasing by a day every 2 years.
• Flexible start and end times, provided 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.

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