accounts and initiatives concurrently. Required Education Degree in Life Sciences, Pharmacy, Biomedical Engineering, or a related discipline; OR Equivalent professional experience within Pharma, Biotech, MedTech, or Healthcare technology sectors. Postgraduate qualifications (MBA, MSc, or PhD) advantageous. More ❯
City of London, London, England, United Kingdom Hybrid/Remote Options
INTEC SELECT LIMITED
. Skilled in building, documenting, and improving support processes (ITIL advantageous). Excellent analytical, communication, and problem-solving skills. Bachelor’s in Computer Science, Engineering, Mathematics, or related field; postgraduate advantageous. Package £95,000 + performance bonus Comprehensive benefits including healthcare, retirement, and wellbeing support Professional development opportunities Hybrid working and flexible travel (3 days in London) Senior IM Support More ❯
Rates, or Commodities would be a plus Experience working with third-party risk platforms would be beneficial A degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline (postgraduate qualifications welcome) A proactive, detail-oriented approach with enthusiasm for learning and contributing to a fast-paced, team-focused environment Interested? If you’re passionate about the intersection of finance More ❯
experience within financial services or technology. Exposure to Java. Experience managing on-premise or hybrid data infrastructure (e.g. Hadoop). Knowledge of workflow orchestration tools such as Apache Airflow. Postgraduate degree in Computer Science, Data Science, or related field. Benefits Comprehensive health, dental, and vision coverage Flexible approach to time off and sick leave Discretionary bonus More ❯
years of experience in ML, AI, or applied data science, with a track record of technical leadership A strong academic foundation in a quantitative or technical subject, ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or Hugging Face Good understanding More ❯
years of experience in ML, AI, or applied data science, with a track record of technical leadership A strong academic foundation in a quantitative or technical subject, ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or Hugging Face Good understanding More ❯
automation tools (e.g. Emarsys or similar) Background in large-scale digital transformation projects Please note - this role cannot offer sponsorship at any given time. For example, a graduate or postgraduate visa would be invalid, as it expires and sponsorship would then be required. Apply below More ❯
