226 to 250 of 319 Pandas Jobs in England

other people depended on. Not coursework, not a notebook that ran once. Strong Python, strong Rust. Polars in particular — we don't reach for pandas here. Comfortable on AWS and on the command line. You can stand up your own infra and debug a distributed system without panicking. Solid ...

potential. Technically Proficient: Strong software development skills in (Python and a compiled language). Experience and comfort working with data using libraries such as Pandas, Polars, or NumPy. You will have exceptional quantitative, logical reasoning, and analytical skills. Problem Solver: When it comes to solving problems, you use clear ...

potential. Technically Proficient: Strong software development skills in (Python and a compiled language). Experience and comfort working with data using libraries such as Pandas, Polars, or NumPy. You will have exceptional quantitative, logical reasoning, and analytical skills. Problem Solver: When it comes to solving problems, you use clear ...

data science or quantitative academic role, underpinned by high mathematical and statistical competence. You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series ...

business clientsFull SDLC process experienceExcellent communications skills, both written and verbalBonus Points: Experience with the Go Lang eco-system tools and librariesExperience with Pandas and PySpark libraries would be a plusTechnical experience with Databricks or any similar Delta Lake platforms. Experience working with large datasetsExperience with AWS cloud deployments ...

appropriate distributions, testing the assumptions behind frequentist statsProficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)Well-versed in summarising, visualising and communicating findings in an accessible and compelling wayTrack record ...

applications over large amounts of data using technologies like React, Angular, JavaScript etc. Experience implementing process improvements and automation Strong Python development skills (including Pandas and related data-processing libraries). Experience with big data technologies such as Spark, PySpark, Hadoop, and Hive Exposure to quantitative modelling or financial modelling ...

research environment. Experience with web scraping or web-archive research (e.g., httpx, BeautifulSoup, the Wayback Machine). Experience with data-analysis tooling such as pandas, Polars, or SQL-based analytics (e.g., BigQuery). Familiarity with Git and modern development workflows (branches, pull requests, code review). Training and Development Patlexa ...

exploration, cleaning, analysis, visualization, or data mining, with demonstrated work across structured and unstructured sources Experience in Python and SQL or R, and with Pandas or NumPy, scikit-learn, and model evaluation or tuning Experience building ETL pipelines and querying APIs using tools such as Airflow … exploration, cleaning, analysis, visualization, or data mining, with demonstrated work across structured and unstructured sources Experience in Python and SQL or R, and with Pandas or NumPy, scikit-learn, and model evaluation or tuning Experience building ETL pipelines and querying APIs using tools such as Airflow ...

Data Strategy and Analytics (DSA) for the Internal Audit function. You will design and implement production-grade data pipelines and data products, using Python (Pandas, Polars, PySpark), SQL, and modern data-lake architectures to support third-line risks. You will collaborate with audit teams and data owners to source, transform ...

years in Python development. Responsibilities include building backend applications, data processing pipelines, and collaborating with financial teams. Proficiencies in SQL, leveraging libraries like Pandas and NumPy, and RESTful API development are essential. The role promises a dynamic environment in investment banking within a collaborative setting. #J-18808-Ljbffr ...

programming in Python and R. Previous experience in data science and software contributions is required, along with familiarity in using tools such as Numpy, Pandas, and Docker. #J-18808-Ljbffr ...

Mathematics or Computer Science 3–5 Years of experience with Python, including writing and managing code releases Familiarity with numerical Python libraries such as Pandas and Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation of best practices Nice to have: experience with SQL databases ...

Analyst. Experience developing forecasting or predictive models using machine learning techniques. Strong Python programming skills and experience with common data science libraries such as Pandas, NumPy and Scikit-learn. A solid understanding of statistics, time-series analysis and predictive modelling. #J-18808-Ljbffr ...

expertise, particularly with large-scale or time-series datasets Strong programming skills in Python, Rust and/or C++ Experience with tools such as Pandas, Polars, Dask or PySpark Experience building data platforms, ETL systems, data lakes, warehouses or lakehouse architectures Knowledge of Parquet, Arrow or similar columnar formats Experience ...

ensure successful implementation. Machine Learning Engineer, key skills: Experience: Proven background as a Machine Learning Engineer Programming skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib) Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services) Expertise: Solid understanding ...

ensure successful implementation. Machine Learning Engineer, key skills: Experience: Proven background as a Machine Learning Engineer Programming skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib) Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services) Expertise: Solid understanding ...

Science, Mathematics, Physics, Engineering, or a related field. Programming Proficiency: Strong programming skills in Python and must be comfortable with common dataset libraries e.g. pandas, polars, numpy, duckdb etc. Quantitative Skills: Solid understanding of quantitative finance and statistical methods. Trading Knowledge: Familiarity with the trading process and financial markets. System ...

translate data into actionable insight; Apply statistics, hypothesis testing, and experimental design in product environments; Advanced SQL skills; Strong experience with Python, including pandas and NumPy, for large-scale data analysis; Lead A/B testing programmes and influence product decisions through experimentation; Significant experience analysing customer behaviour within digital ...

years plus of commercial Python and Django development experience Django Rest Framework PostgreSQL Celery Ideally APi DevelopmentYou will gain exposure to NumPy, SciPy, pandas, IPython and other Python libraries with ability to source, clean and manipulate large data sets as well as google mapping. You will be joining a progressive ...

ahead and survivorship bias, and reconstructing what was knowable on a given date. Statistical modelling and optimisation (statsmodels, cvxpy; PyTorch useful). Datasets in pandas and Parquet/Arrow, plus an analytical engine such as DuckDB. Nice to have Quantitative research background, academic or industry. Index construction and classification taxonomies. ...

that level of detail Comfortable in profiling tools like Nsight or PyTorch Profiler, and monitoring stacks like Prometheus and Grafana Python for data work, Pandas and NumPy, plus general scripting Nice to have rather than essential: a postgraduate degree and research background (publications welcome), real depth on inference serving frameworks ...

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 ...

tuning paradigms, from SFT to the principles behind RLHF/RLAIF preference modelling; Strong Python skills with LangChain, HuggingFace Transformers, and data pipelines using Pandas, DVC, and Weights & Biases; Ability to define and track generation quality using BLEU, ROUGE, and editorial-specific evaluators; Experience with STT/TTS tools ...

Risk and control-oriented mindset: ability to ask incisive questions, assess materiality of model issues, and escalation issues appropriately. Proficiency in Python (NumPy, SciPy, Pandas, etc). Curious, ownership-driven, and teamwork-oriented mindset. Preferred qualifications, capabilities and skills Prior model validation or front-office quant experience in pricing, risk ...