101 to 125 of 185 Pandas Jobs in London

like PostgreSQL, and familiarity with cloud platforms such as AWS and Azure. Ideal candidates will have strong skills in Python libraries including NumPy and Pandas, along with experience in DevOps practices using CI/CD pipelines. This position offers a hybrid work environment based in Greater London. #J-18808-Ljbffr ...

Requirements A drive to solve problems using data 2-5 years experience in data analytics in a consumer-facing business Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.) Familiarity with Git Data visualization tool (Tableau, Looker, PowerBI or equivalent) DBT #J-18808-Ljbffr ...

maturity to sit in front of clients, translate evolving stakeholder needs into features, and drive delivery. Strong Python for data and Back End work - Pandas plus optimization/scientific libraries (eg Pyomo, Scikit-Learn) Building simulation, forecasting, and KPI/analytics frameworks to model financial or operational outcomes Data engineering ...

equivalent experience in mathematics, physics, computer science, engineering, quantitative finance or a related field Nice to have Python experience, particularly NumPy, SciPy or pandas KDB+/Q or another functional programming language AWS, Docker or Kubernetes Java performance tuning, garbage‐collection optimisation or LMAX Disruptor Knowledge of futures, forwards, NDFs ...

environment. Nice To Have Node.js and Go experience. Experience with Supabase and Vercel. RAG, MCP, AI Agents, Evaluation Frameworks and AI Product Development. Python, Pandas and data tooling experience. Startup, scale-up or founding engineer experience. Interest in ClimateTech, EnergyTech, Scientific Software or Battery Technology. #J-18808-Ljbffr ...

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 dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit ...

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 dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit ...

Looking For? The ideal candidate will have the following skills and experience: Strong SQL skills Strong Python skills for dataframe analytics using pandas or polars Confident use of AI coding assistants with sound judgment and validation Financial markets domain knowledge A collaborative approach to working with stakeholders An automation-first ...

market data symbology, with an interest in developing further expertise in these areas Proficiency with SQL and Python for exploratory data analysis (PySpark, pandas, Jupyter Notebooks) Ability to document and clearly explain complex data analysis findings Exceptional attention to detail and effective communication skills Ability to think both independently ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

Pulumi) and containerization (Docker and AWS ECS/Kubernetes). Experience with Kafka. Experience working alongside data scientists in the "PyData" ecosystem (Numpy, Pandas) is desirable. Familiarity with some of the other tools in our stack is desirable: Redis Postgres Airflow Spark This is a hybrid role based in London ...

programming with Java, C++ or another object-oriented language Experience performing data analysis in Python, including proficiency with data science libraries (e.g., NumPy, pandas) and visualisation tools Ability to translate quantitative models into reliable, maintainable production code Effective interpersonal and communication skills; ability to collaborate with traders, quantitative researchers ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

skills, with the ability to query, join, and manipulate large and complex datasets Strong working knowledge of Python for data analysis and automation (e.g. pandas, numpy) Ability to understand new datasets quickly and extract meaningful insights. Experience working with large, complex datasets across multiple sources. Proficiency in data visualisation tools ...

skills, with the ability to query, join, and manipulate large and complex datasets Strong working knowledge of Python for data analysis and automation (e.g. pandas, numpy) Ability to understand new datasets quickly and extract meaningful insights. Experience working with large, complex datasets across multiple sources. Proficiency in data visualisation tools ...

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 dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit ...

role would also require occasional travel to Paris or Munich. Main skills: Excellent knowledge of Python and it's related data science libraries (scikit, pandas, etc) Prior experience of using Python to perform calculations and generate datasets Good statistical knowledge Excellent communication and decision making skills Exposure to working with ...

software design; Practical experience with classical machine learning techniques and awareness of natural language processing and deep learning; Strong Python skills and experience with Pandas, scikit-learn and Jupyter; Experience with SQL and data pipelines for preparing and transforming training data; Understanding of model evaluation, monitoring and performance improvement ...

experience in **Core Python development (6–10 years)**• Strong **SQL skills** with ability to handle complex queries and large datasets• Experience with **Python libraries (Pandas, NumPy)** for data processing• Experience building **RESTful APIs/services (Flask/FastAPI/Django)**• Strong understanding of **data structures and performance optimization**• Experience working ...

Deep proficiency in PD model development and validation, with strong knowledge of calibration techniques. Advanced Python and SQL skills; familiar with XGBoost, scikit-learn, pandas, MLFlow. Experience with explainability frameworks such as SHAP, LIME, PDP. Ability to communicate technical concepts clearly and influence cross-functional decisions. Familiarity with real-time ...

data engineering team as the company scales Python, PostgreSQL, MongoDB, vector databases (Qdrant, Milvus or pgvector), Apache Spark, Apache Airflow, Kafka, Elasticsearch/OpenSearch, Pandas, Polars. What they're looking for: 7+ years of experience in data engineering or backend engineering Strong experience designing and building data pipelines and distributed ...

hours support where required Requirements 5+ years of experience building data pipelines in a financial or trading environment Strong programming skills in Python (including pandas or similar libraries) Solid experience working with SQL and relational databases Familiarity with modern data tools and frameworks (e.g. cloud storage, workflow orchestration, messaging systems ...

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 ...

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 ...