151 to 175 of 222 Pandas Jobs in England

data for creating novel alpha signals Deep understanding of financial markets and market micro-structure Exceptional analytical and problem solving skills Expertise in using pandas, numpy, scikit-learn, statsmodels-tsa, TensorFlow, Keras, and Matplotlib libraries for data analysis Comfortable taking ownership of projects and responsibilities with minimum supervision At least ...

production-quality software, with a good understanding of software engineering principles, testing and maintainable code. Familiarity with Python's scientific computing libraries, particularly NumPy, Pandas and SciPy. An understanding of equities markets, financial instruments and associated data. Credit experience would be advantageous but isn't essential. Why It's Worth ...

such as ClickHouse or similar technologies. Knowledge of partitioning, materialised views, and query optimisation techniques. Experience with numerical and data processing libraries including NumPy, pandas, Polars, or Arrow. Understanding of performance optimisation, memory usage, multiprocessing, or asynchronous Python. This opportunity would suit an engineer who enjoys solving complex data engineering ...

parametrics, NLP or approximate inference. Excellent reasoning skills and mathematical ability. Strong programming skills and experience working with Python, Scikit‐Learn, SciPy, NumPy, Pandas and Jupyter Notebooks; experience with object‐oriented programming is beneficial. Publications at top conferences, such as NeurIPS, ICML or ICLR, are highly desirable. Why should ...

Data Engineer A strong understanding of key Python concepts related to data engineering is needed as a foundation on which to build (e.g. Pandas, numpy, Python file handling, JSON) You possess solid understanding of AWS cloud environments, including S3, LAMBDA, RDS, AWS CDK or Terraform, Dynamo DB Have researched leveraging ...

within the rail, energy or mining sectors Experience in implementing low-power modes and optimising power consumption Comfort analysing device data in Python (e.g. pandas) to support engineering and product decisions Familiarity with real-time operating systems (RTOS) and their implementation Familiarity with designing, implementing and maintaining OTA firmware update ...

knowledge within the rail, energy ormining sectors Experience in implementing low-power modes and optimising power consumption Comfort analysing device data in Python (e.g. pandas) to support engineering and product decisions Familiarity with real-time operating systems (RTOS) and their implementation Familiarity with designing, implementing and maintaining OTA firmware update ...

within the rail, energy or mining sectors Experience in implementing low-power modes and optimising power consumption Comfort analysing device data in Python (e.g. pandas) to support engineering and product decisions Familiarity with real-time operating systems (RTOS) and their implementation Familiarity with designing, implementing and maintaining OTA firmware update ...

extract, profile, audit, and clean large, multi-source datasets (multi-table joins, aggregations, window functions). Python Scripting: Practical proficiency in Python (e.g. Pandas, NumPy) for data manipulation, batch processing, and automation. Data Profiling & Quality: Demonstrable experience using data profiling tools (e.g. Microsoft Purview or similar) to evaluate large datasets ...

with distributed systems, large data sets, and SQL, NoSQL, or tick databases. Ability to program in a scientific computing environment (Python/NumPy/pandas) for research and tooling. Strong verbal and written communication skills; sound judgment in production trading environments. Bachelor’s degree or higher in CS, Engineering ...

software management and CI tools such as Jenkins CI or Gitlab CI systems Nice to Have AI/ML tools and packages (TensorFlow, Pandas, NumPy, scikit-learn, ChatGPT, etc.) Understanding of FPGA hardware, Jenkins CI and Docker Knowledge of embedded systems Experience in automating deployment, scaling, and management of containerized ...

quant research and/or ML/Deep Learning platforms. Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.) Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles ...

where it lies Commercial analytics in practice: churn and retention, cohort and lifetime-value analysis, segmentation, pricing or campaign evaluation Strong SQL and Python (pandas or similar), and readiness to work in raw data yourself: unfamiliar schemas, undocumented tables, exports never meant for analysis Sound statistics for business questions — baselines ...

about how data shapes insurance pricing and trading performance. Ability to write basic queries, joins, filters, and aggregations Exposure to Python for data manipulation (Pandas), automation, or simple scripts Familiar with data modelling concepts; Understanding of tables, relationships, schemas, and structured datasets Comfortable exploring data, spotting patterns, and identifying anomalies. ...

equivalent in Operations Research, Data Science, Mathematics, Statistics, Computer Science, or related technical fieldpreferred A professional with 5+years experiencewith Python. Knowledge of NumPy, Pandas, Scikit-learn, andNetworkxis an extra bonus! Experienced working directly with external customers (ideally in a consulting role) toidentifyrequirements and consult on solutions to complex business problems ...

Data Platform Stack We employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis, and for scripting dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic ...

systems. Experience with UI/UX considerations for backend/API design. Experience working with modern statistical machine learning and AI technologies (NumPy, SciPy, Pandas). Experience with DevOps workflows. Experience with PyTorch or other deep-learning frameworks. Familiarity with Bayesian statistics or probabilistic modelling. Experience with MLOps. Location: This ...

Scientist (Mid/Senior) to analyse longitudinal healthcare datasets and build predictive models. The role emphasizes Python/SQL proficiency, ML libraries (scikit-learn, pandas, XGBoost) and NLP transformer techniques, in a fast-moving, cross-functional team. You will validate and deploy models on real clinical data, address missing values ...

deliver practical solutions. Essential Skills & Experience: Minimum 3 years' experience building data applications, automation solutions or internal business tools. Strong Python skills, including pandas, scripting and data processing. Solid R programming and hands-on experience developing and deploying Shiny applications. Good SQL knowledge and experience integrating systems through REST APIs. ...

doing for you. Environments and dependencies another developer can rebuild from the repository. Git in daily use. Useful, not required Data work with pandas or similar, for reporting and analysis. Docker, Linux and the basics of running what you build. #J-18808-Ljbffr ...

doing for you. Environments and dependencies another developer can rebuild from the repository. Git in daily use. Useful, not required Data work with pandas or similar, for reporting and analysis. Docker, Linux and the basics of running what you build. #J-18808-Ljbffr ...

experience with hierarchical models, MCMC, variational methods, and hands-on work in PyMC, Stan, or NumPyro. Technical Stack: Strong proficiency in Python, SQL, and pandas (Polars or AWS experience is a plus). Track Record: 5+ years of data science experience (PhD and postdoc work count toward this total). ...

trading, utilities, aggregators or BESS developers. 2+ years' project or team leadership experience. Strong MILP/LP and mathematical optimisation knowledge. Excellent Python skills (Pandas, NumPy, Pyomo, Linopy or CVXPY). Strong understanding of European power markets, including day-ahead, intraday and ancillary services. Experience with optimisation solvers such ...

years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environment Nice to have: Experience in mobile ...

systems (latency histograms, throughput metrics, SLAs). Familiarity with scripting languages (e.g., Python, Bash) for tooling and automation. KDB+ Data Analysis with python (pytorch, pandas, arrow) #J-18808-Ljbffr ...