51 to 68 of 68 Pandas Jobs in London

working on classification or categorisation problems (ideally transaction, text, or behavioural categorisation). Strong proficiency in Python and ML libraries (e.g., XGBoost, scikit-learn, pandas). Comfortable working with SQL and large datasets (BigQuery experience a strong plus). Experience evaluating model performance rigorously and iterating based on data. Strong ...

Senior Trading Data Engineer or similar role in a trading, hedge fund, investment bank or energy markets environment. Strong Python skills for data engineering (pandas/Polars or equivalent) and production‐quality code. Deep knowledge of SQL and experience with analytical or time‐series databases (e.g. Redshift, ClickHouse, Snowflake, BigQuery ...

from scratch in a commercial environment Strong commercial experience in Marketing Mix Modelling (MMM) Advanced Python skills for data manipulation, modelling, and analysis (e.g., pandas, NumPy, scikit-learn) Strong understanding of branding, brand positioning, and marketing strategy Ability to interpret brand language and translate it into measurable analytical frameworks Demonstrated ...

specialist partners and external data engineering service providers for deep domain work like concept modelling or high-volume data integration. Tech stack: Languages: python (pandas, httpx, sdmx, pydantic, FastAPI, FastMCP, ADK), SQL (ISO Graph Query Language would be a plus) Cloud: Google Cloud Platform (Cloud Run, Cloud Build, BigQuery, Spanner ...

passionate about coding and excited to learn more. We are seeking someone with initiative who thrives is a collaborative envirovment. Stack includes: Python, dataclasses, Pandas, Polars, Pytest, Asyncio, Postgres, and AWS services such as ECS, Lambda and SQS - so experience with these technologies or alternatives would be helpful ...

maintain Python code for data processing, API development, and integration with the Azure Databricks environment. Utilise relevant Python libraries and frameworks (e.g., Flask, Django, Pandas, NumPy). Collaborate with cross-functional teams to build and enhance banking applications Work closely with UI/UX Designers to integrate visualizations seamlessly into ...

oriented programming fundamentals Experience building or maintaining data-driven applications or pipelines Exposure to client-server system architecture Experience working with tools such as Pandas or Jupyter for data analysis Knowledge of databases such as MySQL or MongoDB Familiarity with Git and version control workflows Comfortable working across multiple projects ...

2am. Required 🐍 1–3 years of commercial experience in data engineering, ML engineering, or a similar role 🛠️ Strong Python skills with hands-on pandas/dataframe experience 🔁 Experience building and running data pipelines (ETL/ELT) with orchestration tools ☁️ Familiarity with cloud platforms (GCP preferred) and tools like BigQuery 🗂️ Comfortable ...

fast-paced, collaborative environment with exceptional organizational precision. In-depth knowledge of the quantitative tech stack , including proficiency in discussing C++, Python (NumPy/Pandas), Rust, Low-Latency systems, and Distributed Computing. Experienced Bay Area or Financial Hub recruiter with extensive knowledge of the competitive landscape in FinTech and quantitative ...

models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. ...

major energy hubs (e.g., TTF, JKM) and cross-commodity linkage Solid understanding of feature engineering, statistical modelling, and ML workflows Strong Python skills (e.g., pandas, NumPy, Jupyter) Strong analytical thinking with the ability to simplify complex concepts If this sounds like a good fit, apply now! Senior Technical Business Analyst ...

team capability building Technical Stack Core: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Gen2 SQL Server Databricks Enhancements: Python (PySpark, Pandas) CI/CD (Azure DevOps) Infrastructure as Code (Terraform, Bicep) REST APIs GitHub Actions Desirable: Microsoft Fabric Delta Live Tables Power BI dataset automation DataOps practices ...

team capability building Technical Stack Core: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Gen2 SQL Server Databricks Enhancements: Python (PySpark, Pandas) CI/CD (Azure DevOps) Infrastructure as Code (Terraform, Bicep) REST APIs GitHub Actions Desirable: Microsoft Fabric Delta Live Tables Power BI dataset automation DataOps practices ...

Skills & Experience Strong hands-on experience with Salesforce Data Cloud (Customer 360 Audiences/CDP). Solid Python skills, including Python test automation and Pandas for data manipulation. Proven experience with API automation (REST), Gherkin/BDD, Robot Framework, and Selenium. Practical experience with Google Cloud Platform (preferably BigQuery ...

both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced football metrics (possession value models highly desirable ...

excellence and mathematical rigour sit at the heart of everything they do. The environment is intellectually stimulating, with real ownership, modern tooling (such as Pandas, SciPy, NumPy), and the chance to work on complex, meaningful challenges at scale. The Senior Python Software Engineer will design and build high-performance analytics … Will Need • 5+ years’ Python development experience • Strong mathematical or statistical modelling background • Experience building production-grade analytical software • Knowledge of tools such as Pandas, SciPy, NumPy, SQL and cloud platforms with tools such as Kubernetes and Docker. Why You’ll Love It • Flexible hybrid or fully remote working options ...

breaks, validate behaviour, and assess downstream impacts. Provide subject-matter guidance to technology, operations, and trading teams. Technical & Data Analysis Use SQL and Python (pandas) to analyse datasets, validate outputs, and support decision-making. Leverage Jupyter Notebook or similar tools for structured investigation of trade, position, and fee data. Produce … risks, milestones, and system health. Required Skills & Experience Technical Competency Strong SQL, capable of writing complex analytical queries. Hands-on Python experience, particularly with pandas for data analysis. Proficiency with Jupyter Notebook or equivalent analytical tooling. Familiarity with multi-system data flows and large, structured datasets. Functional Domain Knowledge Deep ...

include: Ingesting and transforming large datasets (100M+ rows), from Oracle, SQL Server, and flat files (CSV, XML). Writing and reviewing SQL and Python (Pandas) scripts to clean and join data across multiple sources. Conducting forensic comparisons between data sources (e.g., matching millions of XML records to transactional logs). … audit-quality outputs. KEY SKILLS & REQUIREMENTS Strong SQL (T-SQL, Oracle, or PostgreSQL) - must be comfortable with complex joins and large volumes Python with Pandas - mandatory for data transformation and wrangling Experience working with large operational databases, text files, and legacy data sources Strong attention to detail and a forensic ...