8 of 8 Remote Complexity Analysis Jobs in London

Experience with libraries like NumPy , Pandas , SciPy , or any others commonly used in data processing or modelling. Strong understanding of data structures , algorithms , and complexity analysis . ✅ Mathematical or Computational Modelling: Experience with implementing mathematical models in Python, particularly in fields such as transportation or flow analysis … to document and explain complex technical concepts clearly. Nice to Have: Experience with transportation or logistics systems , particularly related to passenger flow , traffic analysis , or queueing theory . Familiarity with integrating Python-based models into enterprise systems and understanding the challenges around this process. Location: Hybrid. Office located More ❯

Experience with libraries like NumPy , Pandas , SciPy , or any others commonly used in data processing or modelling. Strong understanding of data structures , algorithms , and complexity analysis . ✅ Mathematical or Computational Modelling: Experience with implementing mathematical models in Python, particularly in fields such as transportation or flow analysis … to document and explain complex technical concepts clearly. Nice to Have: Experience with transportation or logistics systems , particularly related to passenger flow , traffic analysis , or queueing theory . Familiarity with integrating Python-based models into enterprise systems and understanding the challenges around this process. Location: Hybrid. Office located More ❯

and performing code reviews. Preferred Qualifications: Experience with one or more cloud services: AWS, GCP, Azure Understanding of algorithms, data structures, system design and complexity analysis A background or interest in applied machine learning, supercharging teams by building internal tools Finds enjoyment in technical challenges and wants More ❯

Demonstrated ability to produce significant output with minimal wasted effort. - Planning: Strong planning, scheduling, and forecasting skills. Focuses on key priorities. - Reporting and Analysis: Ability to structure and process qualitative and quantitative data, drawing insightful conclusions. - Attention to Detail: Meticulous, ensuring no important details slip through the cracks. More ❯

Demonstrated ability to produce significant output with minimal wasted effort. - Planning: Strong planning, scheduling, and forecasting skills. Focuses on key priorities. - Reporting and Analysis: Ability to structure and process qualitative and quantitative data, drawing insightful conclusions. - Attention to Detail: Meticulous, ensuring no important details slip through the cracks. More ❯

in dashboards to provide a cohesive, first-class data visualization experience. Build and optimize innovative solutions that support advanced, modular verification strategies, data analysis, ML-based systems, and workflows. Perform independent execution and completion of tasks by taking full ownership and showing strong attention to detail that leads … Bachelor's Degree in Computer Science, Math, Physics, Engineering, or related quantitative field. Minimum of 2+ years of Python developer proficiency with quantitative analysis experience with packages such as numpy, pandas, scipy, scikitlearn, matplotlib, etc. Proficiency in Linux environment (including shell scripting). 1+ years of experience with … . Experience and/or technical depth in at least one data science-related field such as Machine Learning, Artificial Intelligence, Statistical & Data Analysis, Computational Algorithms, Data Engineering, etc. Experience working with a variety of complex, large datasets. Experience building automated pipelines (e.g., Jenkins, Airflow, etc.). Experience More ❯

to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug … experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of … clinical trials. Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling. Excellent interpersonal and communication skills (verbal and writing). Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making situations. More ❯

in data science and machine learning/AI to identify influencing opportunities and contribute to white papers/regulatory discussions. Perform hands-on analysis of integrated data to generate evidence for decision-making in drug development. Your Experience Ph.D. in data science, biostatistics, or a related quantitative field … exposure. Strong knowledge of statistical methods, machine learning, and clinical trial design. Proficiency in R and Python, with skills in data visualization, exploratory analysis, and predictive modeling. Excellent communication skills, both verbal and written. Why Novartis: Helping people takes more than science; it requires a community of passionate More ❯