22 of 22 Remote Complexity Analysis Jobs in the UK

be needing C# .Net, Entity Framework, SQL/NoSQL databases, Cloud. REST API development using C# and ASP .Net Core. Computer Science fundamentals in data structures, algorithm design and complexity analysis. Experience developing, deploying and maintaining API's onto AWS or Azure. Excellent understanding of software design principles. Experience in applying OWASP secure coding practices. Confident and experienced with More ❯

be needing C# .Net, Entity Framework, SQL/NoSQL databases, Cloud. REST API development using C# and ASP .Net Core. Computer Science fundamentals in data structures, algorithm design and complexity analysis. Experience developing, deploying and maintaining APIs onto AWS or Azure. Excellent understanding of software design principles. Experience in applying OWASP secure coding practices. Confident and experienced with automated More ❯

efficient, reusable, and scalable code. 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 . Ability to … project managers, and stakeholders. Ability 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 in London. (Hayes area). More ❯

emerging intelligence issues, ensuring alignment with mission requirements. Create and integrate computer programs, often for larger software systems, to support mission-critical applications. Design and optimize algorithms, conducting analysis, implementation, profiling, and experimental evaluation to ensure performance and scalability. Bridge the gap between algorithm theory and practical applications, translating complex requirements into robust software solutions. Collaborate with lab More ❯

portfolio. You will have the opportunity to solve the complex challenges of scale and security which are unique to SAP Sovereign Cloud, while using your ability in coding, algorithms, complexity analysis and large-scale system design. You will engage closely with the SAP Sovereign Cloud Operations, Platform, and Application engineering teams and jointly help to ensure that More ❯

JUnit, Mockito, and Unix/Linux environments. Qualifications: A wealth of experience building business-critical applications in a full-stack manner. Strong understanding of computer science fundamentals, including algorithms, complexity, and data structures. Proven track record of managing and implementing successful projects. Ability to work under pressure and meet tight deadlines. Bachelor's degree/University degree or equivalent More ❯

for optimal design of multibillion dollar capital projects, deep-learning based geophysics emulators, and cloud-hosted, globally available custom 3D scientific and visualization tools. The infrastructure, algorithms, and analysis tools built by you and your team will enable insights that accelerate discovery and development of critical battery metals. You will join an outstanding team of data scientists and More ❯

for optimal design of multibillion dollar capital projects, deep-learning based geophysics emulators, and cloud-hosted, globally available custom 3D scientific and visualization tools. The infrastructure, algorithms, and analysis tools built by you and your team will enable insights that accelerate discovery and development of critical battery metals. You will join an outstanding team of data scientists and More ❯

both technical and non-technical stakeholders through reports, visualisations, and presentations. The full life cycle of MI, PBI reports, and Dashboard. Work closely with software developers and data analysis teams to produce innovative reports and dashboards. What we are looking for Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency … Understanding the Relational Database Data Modelling and Data Warehousing experience Strong communication skills to convey complex technical concepts to various stakeholders. Strong understanding of machine learning algorithms, statistical analysis, and data manipulation techniques. Experience with documenting processes. Data visualisation tools such as Power BI. What we can offer you 11% non-contributory pension scheme from day 1 of More ❯

both technical and non-technical stakeholders through reports, visualisations, and presentations. The full life cycle of MI, PBI reports, and Dashboard. Work closely with software developers and data analysis teams to produce innovative reports and dashboards. What we are looking for Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency … Understanding the Relational Database Data Modelling and Data Warehousing experience Strong communication skills to convey complex technical concepts to various stakeholders. Strong understanding of machine learning algorithms, statistical analysis, and data manipulation techniques. Experience with documenting processes. Data visualisation tools such as Power BI. What we can offer you 11% non-contributory pension scheme from day 1 of More ❯

Java 8+, Multithreading, testing frameworks, DI) Experience with electronic trading systems (preferably equities, agency or prop) Strong understanding of European equities market microstructure Background in quantitative modelling, data analysis, or algorithm design MSc or PhD in a relevant field: Computer Science, Applied Mathematics, Statistics, or similar Desirable Experience: Experience with low-latency systems, high-frequency trading (HFT) or More ❯

senior engineer's familiarity, independence, critical thinking, collaborative skills and technical initiative Software design skills for elegant, high performance, easy to maintain code Extensive knowledge of data structures, algorithms, complexity and concurrency Strong C++ language knowledge and coding skills Relevant technical knowledge: Concurrency (multithreading, synchronisation and alternatives, parallel hardware) CPU architecture (CPI, dynamic execution, caching levels, cache misses, pipeline … stalls) Data structures (linear, tree, hash and graph), algorithm selection and complexity (big O) Networking (standard packet protocols, performance in particular contexts) Linux development (user and/or kernel space) and scripting languages (bash, Python) Git, Agile techniques, CI/CD plus TDD or otherwise comprehensively tested code Please note: even if you don't have exactly the background More ❯

User Segmentation: Build our core user personas, define and improve customer level segmentation, and define engagement thresholds Market Making Support: Establish betting lines and improve core algorithms Marketing Analysis: Understand marketing cohort behaviours using facebook ads and cohorts Reporting Infrastructure: Create automated dashboards for daily, weekly, and monthly KPIs Real-Time Optimization: Build systems to monitor and optimize … lifetime value models, and user progression forecasting Fraud Detection: Create automated systems to flag suspicious betting patterns and user behavior Advanced Analytics: A/B testing infrastructure, cohort analysis, and revenue optimization models Market Intelligence: Competitive analysis and market trend identification What We're Looking For Must-Haves 3+ years in mobile gaming, social casino or … sportsbook analytics with proven track record of driving user retention and monetization Strong SQL skills for complex data manipulation and analysis Python proficiency for data modeling, automation, and statistical analysis Dashboard expertise (Quicksights, Tableau, Looker, Power BI, or similar) Statistical modeling experience including A/B testing, regression analysis, and user segmentation Gaming industry More ❯

facilitate decision-making. Provide technical expertise in data science and machine learning/AI to identify influencing opportunities and discuss white papers/regulatory policies. Perform hands-on analysis of integrated clinical trial and real-world data to generate evidence for decision-making in drug development. Your Experience Ph.D. in data science, biostatistics, or a related quantitative field … or equivalent). Over 6 years of experience in clinical drug development with extensive clinical trial exposure. Strong knowledge of statistical methods like time-to-event analysis, machine learning, meta-analysis, mixed-effect modeling, Bayesian methods, variable selection techniques (e.g., lasso, elastic net, random forest), and clinical trial design. Proficiency in R and Python, with experience … in data visualization, exploratory analysis, and predictive modeling. Excellent communication skills, both verbal and written. Ability to develop and deliver clear presentations for decision-making in internal and external settings. Why Novartis: Helping people with diseases takes innovative science and a community of passionate, collaborative individuals. Join us to create a brighter future: https://www.novartis.com/ More ❯

predictive) machine learning/AI 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 development programs. Your Experience Ph.D. … . More than 3 years 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. Why Novartis: Helping people with disease and their families takes more than innovative science. It More ❯

and algorithms to support decision-making. Provide expertise in data science and machine learning/AI to identify opportunities influencing internal decisions and regulatory discussions. Perform hands-on analysis of integrated data from trials and real-world sources to generate evidence for drug development decisions. Your Experience Ph.D. in data science, biostatistics, or a related quantitative field (or … equivalent). Over 3 years of experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge of statistical methods such as survival analysis, machine learning, meta-analysis, mixed-effects modeling, Bayesian methods, and variable selection techniques. Proficiency in R and Python, with experience in data visualization, exploratory analysis, and predictive modeling. More ❯

predictive) machine learning/AI 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 development programs. Your Experience Ph.D. … . More than 6 years 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. Why Novartis: Helping people with disease and their families takes more than innovative science. It More ❯

You’ll Need: At least 7 years of commercial experience as a Software Engineer. Experience in large-scale software systems design, and familiarity with fundamental computer science concepts (algorithms, complexity, data structures). Proficiency in at least one of our core programming languages (Go, TypeScript or Python), and a willingness and enthusiasm for learning new languages and technologies. Experience More ❯

skills. What You’ll Need: At least 2 years of commercial experience as a Software Engineer. Experience in software systems design, and familiarity with fundamental computer science concepts (algorithms, complexity, data structures). Proficiency in at least one of our core programming languages (Go, TypeScript), and a willingness and enthusiasm for learning new languages and technologies. Experience in at More ❯

in software development methodologies. - Efficiency: 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. - Collaboration: Works closely with sales More ❯

in software development methodologies. - Efficiency: 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. - Collaboration: Works closely with sales More ❯

You’ll Need: At least 5 years of commercial experience as a Software Engineer. Experience in large-scale software systems design, and familiarity with fundamental computer science concepts (algorithms, complexity, data structures). Proficiency in at least one of our core programming languages (Go, TypeScript), and a willingness and enthusiasm for learning new languages and technologies. Experience in at More ❯