Data Scientist

Aiimi
Milton Keynes
18 hours ago
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Job Description

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.

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. 
  • 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.


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