3,626 to 3,650 of 6,314 Python Jobs in the UK

the ability to influence others around you in the team. Strong attention to detail with exceptional analytical skills, including the ability to interpret complex business processes. Knowledge of SQL, Python, R or similar programming languages is advantageous If this role is of interest, please apply directly with an updated CV. Apply for this job Regional accountancy, finance and HR recruiters More ❯

+ PhD or experience working in an academic or industrial research environment. Demonstrable experience of developing software in at least one language used in scientific or engineering applications (e.g. Python, Fortran). Familiarity with good development practices such as version control and software testing. Understanding of the software development lifecycle and experience of writing software for use by others. Ability More ❯

project trends What We're Looking For: Bachelor's, Master's, or PhD (or equivalent experience) in Computer Science, Computer Engineering, or related fields Experience with application development in Python Knowledge of open-source development practices and community engagement Familiarity with Verilog/SystemVerilog and EDA tool flows, especially for design verification Strong teamwork and communication skills Preferred Qualifications (not More ❯

Experience in commercial analysis (target building, forecast setting, promotional analysis). Strong communication skills. Awareness of digital marketing. A Level/degree in Mathematics or STEM. Knowledge of statistics. Python experience for data analysis. Hands-on experience with dbt. Awareness of data governance best practices. This is a hybrid role requiring at least three days per week onsite. Salary More ❯

Experience in commercial analysis (target building, forecast setting, promotional analysis). Strong communication skills. Awareness of digital marketing. A Level/degree in Mathematics or STEM. Knowledge of statistics. Python experience for data analysis. Hands-on experience with dbt. Awareness of data governance best practices. This is a hybrid role requiring at least three days per week onsite. Salary More ❯

You Bring Proven experience in software development leadership — team management, delivery ownership, and mentoring Strong hands-on knowledge in at least one backend language or tech stack (e.g. .Net, Python, Java, Golang, etc.) Experience working with microservices, and modern cloud-based architectures A passion for process improvement, automation, and efficiency Familiarity with version control systems, code repositories, and DevOps best More ❯

repeatable tasks. Using specialist software to monitor trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW s Radar software is preferred, but not essential. Proficient at communicating More ❯

problem-solving, and communication skills. Preferred: 5+ years of experience in Battery Management Systems , automotive , or embedded systems testing . Experience with automated testing frameworks and scripting languages (e.g., Python , CAPL ). Knowledge of functional safety and diagnostic testing . ISTQB certification or similar is a plus. More ❯

Jet/Jewels systems (if internal, prior exposure is ideal). Ability to follow runbooks and make operational infrastructure changes. Excellent problem-solving skills and ability to work autonomously. Python development experience Nice to Have: Experience working in enterprise-scale Azure environments. Familiarity with Git-based version control and code repositories. More ❯

regular reporting v new analysis Skills and Experience 3 years+ experience in analytics Strong ability to write and execute SQL queries for data extraction, manipulation, and analysis Experience with Python for advanced data analysis, statistical modelling, and automation Comfortable with a variety of data sets, testing methodologies, and success metrics Hands-on experience with web analytics (Google Analytics, Adobe Analytics More ❯

static timing analysis, and system-on-chip (SOC) architectures. Understanding of the TCP/IP stack, on-chip networking applications, and other common networking protocols. Adeptness in scripting, notably Python, with a focus on automating and facilitating efficient data collection. Acumen in system-level debugging, data analysis, and Linux environment operations. For Senior Roles: Minimum 5 years in the field More ❯

Ads, Amazon DSP, and The Trade Desk. Experience with advanced marketing analytics for Marketing Mix Modelling, Forecasting, and Predictive Analysis. Experience with data transformation and parsing using SQL queries, Python, or R. Experience with cloud data warehouses (e.g., Snowflake, BigQuery), visualization tools (e.g., Tableau, Looker), and web analytics platforms. If you believe you have the relevant experience, please reply to More ❯

What You Bring Proven experience insoftware development leadership- team management, delivery ownership, and mentoring Strong hands-on knowledge in at least one backend language or tech stack (e.g Net, Python, Java, Golang, etc.) Experience working with microservices, and modern cloud-based architectures A passion for process improvement, automation, and efficiency Familiarity with version control systems, code repositories, and DevOps best More ❯

repeatable tasks. Using specialist software to monitor trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW’s Radar software is preferred, but not essential. Proficient at communicating More ❯

of experience in financial markets, preferably in a research role focused on indices, derivatives, or commodities Strong understanding of pricing models for options, futures, and other derivatives Proficiency in Python Excellent written and verbal communication skills Strong analytical thinking, attention to detail, and a proactive, collaborative mindset Bloomberg is an equal opportunity employer and we value diversity at our company. More ❯

repeatable tasks. Using specialist software to monitor trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW's Radar software is preferred, but not essential. Proficient at communicating More ❯

tight-knit global team (~20 employees total) that punches well above its weight What you'll bring: Strong STEM or Finance degree from a top university Solid experience in Python , SQL , and ideally C# Proven track record researching and deploying profitable quant strategies Curiosity, drive, and the ability to move fast in a lean environment What's in it for More ❯

Cambridge Exceptional numerical skills and strong attention to detail Comfortable working with incomplete or messy data Proficient in Microsoft Excel (logical functions, pivot tables, lookups etc.) Bonus: exposure to Python , R , or other statistical tools 🔎 Interview process: Stage 1: 10-minute intro interview with the team Stage 2: In-person 2-hour interview with a case study and presentation Interviews More ❯

and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Knowledge of MS SQL Server, SSIS, Visual Studio, and SSDT projects . ✅ Previous London Market Insurance More ❯

Cambridge Exceptional numerical skills and strong attention to detail Comfortable working with incomplete or messy data Proficient in Microsoft Excel (logical functions, pivot tables, lookups etc.) Bonus: exposure to Python , R , or other statistical tools 🔎 Interview process: Stage 1: 10-minute intro interview with the team Stage 2: In-person 2-hour interview with a case study and presentation Interviews More ❯

and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Knowledge of MS SQL Server, SSIS, Visual Studio, and SSDT projects . ✅ Previous London Market Insurance More ❯

formulas, macros, and data visualization. Ability to analyze large datasets to identify trends and process improvements. SQL: Basic to intermediate SQL skills for querying databases. Familiarity with tools like Python, Alteryx, and report writing is advantageous. Attention to detail, strong organizational and time management skills. Problem-solving skills with the ability to work independently and in a global team. Excellent More ❯

Present findings at industry and academic conferences. Mentor junior team members. About You PhD in Natural Hazards, Earth Sciences, or equivalent experience. Proficient in programming languages such as R, Python, SQL, including spatial data analysis and visualization. Excellent written and oral communication skills. Strong team player with analytical prowess and attention to detail. Deep understanding of (re)insurance and catastrophe More ❯

to embed intelligence into everything we do What You'll Bring: Extensive experience delivering commercial value through data science Deep expertise in predictive modelling, optimisation and personalisation Mastery of Python/R, SQL and modern ML tools (ML Ops, Docker, DBT) A passion for storytelling with data and influencing strategic decisions A collaborative mindset and a drive to lead innovation More ❯

or JAX) Experience in efficient ML techniques: quantization, pruning, distillation Familiarity with deployment on mobile and embedded devices (e.G. Smartphones, mobile CPU/GPU/NPU) Strong skills in Python, C/C++, and GNU/Linux environments Distributed and multi-GPU training experience Proficient with Git and GitHub workflows Why Join Us? Be part of an elite, forward-thinking More ❯