26 to 50 of 61 Complexity Analysis Jobs in England

optical chains, code, and processes with an eye toward successful, field-ready, secure, nicely documented products and systems. We also value academic chops, people who love embrace physics, analysis, and technical progress. Our culture is one of urgency, accountability, teamwork, and a healthy sense of fun, along with a passion for science. We show up prepared, engage in … Video Job Description : PowerLight Technologies is seeking a highly skilled and motivated Senior Systems Engineer, with referenceable expertise in systems design, including sensors and tracking systems, system requirement analysis, flow down of the requirements for subsystems; sensor evaluation and fusion, and systems software. In this role, you will play a key part in developing our next- laser systems. … including mechanical and electrical and electronic components and assemblies, sensors, from concept to production. Sensors: Sensor evaluation and selection; design of multi sensor and high precision tracking systems. Analysis: Create detailed designs and perform comprehensive analysis to ensure system performance and reliability, conduct/lead/support the technical reviews such as Preliminary/Critical Design More ❯

of customers. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 3+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you More ❯

s degree or above in computer science, computer engineering, or related field. Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java, or Perl. PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and More ❯

the syntax of languages such as Java, C/C++ or Python. • Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. PREFERRED QUALIFICATIONS • Previous technical internship(s). • Experience with distributed, multi-tiered systems, algorithms, and relational databases. • Experience in optimization mathematics such as linear programming and nonlinear optimization. More ❯

the syntax of languages such as Java, C/C++, or Python. Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving and complexity analysis. PREFERRED QUALIFICATIONS Previous technical internship(s) if applicable. Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear More ❯

s degree or above in computer science, computer engineering, or related field - Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. - Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS - Previous technical internship(s). - Experience with distributed, multi-tiered systems, algorithms, and More ❯

the syntax of languages such as Java, C/C++, or Python. Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving and complexity analysis. Preferred Qualifications Previous technical internship(s) if applicable. Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear More ❯

the syntax of languages such as Java, C/C++, or Python. Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving and complexity analysis. PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. More ❯

engineering, ensuring clarity and precision in data requirements and delivery. This role is ideal for someone with a strong background in financial markets, market data systems, and technical analysis using SQL and Python. To be successful as a VP Market Data SME, you should have: Experience on working with Market data in BA/PM role, very good … lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan … support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and More ❯

On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with 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 ❯

On the SRE team, you'll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with 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 ❯

to keep software systems up and running Who You Are BS degree in Computer Science, similar technical field of study or equivalent professional experience Experience with algorithms, data structures, complexity analysis and software design 4+ years of software engineering experience Experience with Python and Reactjs is preferred, but not required What We Offer A fresh start: SevenRooms More ❯

skills, research skills and bolster your financial knowledge. The Role As an entry level Data Analyst, you’ll play a key role in providing the numbers, algorithms, and analysis that make Bloomberg data the most sought-after data source in the world. You will enhance and report financial markets content for the Bloomberg Professional service (the Bloomberg terminal … that inspires news and analysis that empowers our clients to make better-informed decisions. Data Analysts also provide unparalleled customer service and solve complex issues, while building relationships with key market players in the financial industry. Your role starts off with the Global Data Training Program and then you will be placed into one of the following teams … in a fast paced changing environment Ideally we are also looking for candidates to possess at least one of the following skills: – Knowledge in information technology or statistical analysis or computer programming (for example VBA, SQL, MATLAB, Python) – Effective project management skills and ability to prioritize tasks accordingly – Experience in Customer Service or Client Relationship Management Language requirements 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 ❯

skills, research skills and bolster your financial knowledge. The Role As an entry level Data Analyst, you’ll play a key role in providing the numbers, algorithms, and analysis that make Bloomberg data the most sought-after data source in the world. You will enhance and report financial markets content for the Bloomberg Professional service (the Bloomberg terminal … that inspires news and analysis that empowers our clients to make better-informed decisions. Data Analysts also provide unparalleled customer service and solve complex issues, while building relationships with key market players in the financial industry. Your role starts off with the Global Data Training Program and then you will be placed into one of the following teams … in a fast paced changing environment Ideally we are also looking for candidates to possess at least one of the following skills: – Knowledge in information technology or statistical analysis or computer programming (for example VBA, SQL, MATLAB, Python) – Effective project management skills and ability to prioritize tasks accordingly – Experience in Customer Service or Client Relationship Management Language requirements More ❯

or architecture (design patterns, reliability and scaling) of new and existing systems experience - 3+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source More ❯

complex proprietary trading software within one of the most exciting trading teams in the world, you are encouraged to apply! Responsibilities: Build real-time trade management and risk analysis algorithms and visualization tools. Write performance-sensitive code and algorithms. Support the trading desk's research and analysis workflows by utilizing and extending DRW's in-house … data analysis infrastructure. Collaborate directly with traders, developers, and researchers in a close-knit team to develop low-latency trading infrastructure, tools, web UI, and trading strategies. Requirements: At least 5 years of experience writing Java servers on Linux. Experience in the trading industry or a similarly demanding environment developing business-critical applications. Preferred: Trading industry experience is More ❯

mentored by a senior team member and will be responsible for implementing and optimizing existing strategies. You will work on research, design, and C++ implementation of innovative data analysis algorithms and tools, as well as research, back-testing, C++ implementation, and deployment of new trading strategies. Requirements: PhD from a top-tier university in subjects such as Computer … or noisy data sets. Research or internship experience at reputable organizations. Strong programming skills in C++, Perl, or Python. Demonstrable interest in systematic trading. Background in time series analysis, statistics, reinforcement learning algorithms, or portfolio theory. Candidates who have completed their PhD this year or are graduating in 2018 are eligible. Interviews include meetings with senior partners and 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 ❯

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 ❯