Data Scientist

Overview

Aiimi is seeking a 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. This is a client-facing role, 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.
• 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.

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

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

#J-18808-Ljbffr…