About Us
AITIS is a forward-thinking technology-driven company committed to leveraging AI and data-driven solutions to transform industries. We specialize in AI-enabled risk assessment technology across healthcare, construction safety, traffic management, and environmental monitoring. As part of our expansion, we are seeking a talented Data Scientist/Engineer to join our Team.
We are based in the City of London. We are ISO9001 and medical devices ISO13485 certified.
Job Description
We are seeking a highly skilled MSc Data Scientist to develop, test, and optimize AI-driven solutions. The role involves data analysis, machine learning model development, and AI system validation to support our healthcare, construction safety, or environmental monitoring projects.
Key Responsibilities
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Conduct testing and validation of AI models, focusing on accuracy, bias detection, and performance metrics.
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Develop and implement machine learning models for predictive analytics and automation.
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Conduct data preprocessing, feature engineering, and statistical analysis on large datasets.
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Optimize and validate AI models through performance testing and real-world applications.
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Collaborate with engineers and domain experts to integrate AI solutions into existing systems.
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Work with structured and unstructured data, ensuring accuracy and reliability.
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Stay up-to-date with the latest AI and data science advancements, incorporating them into projects
Required Skills & Qualifications
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MSc in Data Science, AI, Machine Learning, Computer Science, or related field.
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Proficiency in Python, R, SQL, and machine learning libraries (TensorFlow, PyTorch, Scikit-learn).
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Experience with data visualization tools (Tableau, Matplotlib, Power BI, or Seaborn).
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Strong knowledge of statistical modeling, deep learning, and AI model interpretability.
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Ability to work with large datasets, cloud platforms (AWS, GCP, or Azure), and MLOps tools.
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Strong analytical, problem-solving, and communication skills
Why Join Us?
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Work on cutting-edge AI and cloud-based data projects.
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Collaborative and innovative work environment.
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Opportunities for continuous learning, growth, and career advancement.