51 to 62 of 62 Pandas Jobs in the City of London

delivery of applied machine learning projects, ideally across commercial or regulated sectors Strong Python skills and comfort using core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series ...

Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning ...

data analysis or data management (or strong academic equivalent). Proficiency in SQL and spreadsheets (BigQuery/Excel/Sheets). Basic Python (Pandas) or willingness to learn. Detail-oriented, structured approach to data cleaning, organisation, and version control. Familiarity with GIS tools (ArcGIS, QGIS) and geospatial data formats desirable. ...

master and reference data system. Requirements: 5 to 10 years of building Python-based financial software at a hedge fund, bank or vendor (Pandas required) Strong experience with ETL pipelines and distributed systems Comfortable working with quants and trading teams Nice to Have: Experience with Kafka Deep understanding of market ...

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. ...

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 ...

skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software ...

models, including temporal patterns, user behaviour sequences, and campaign attribution Ensure data quality via validation, deduplication, schema checks, and defensive programming Optimise pandas/Polars pipelines for performance at scale Handle messy real-world data: duplicates, nulls, schema drift, and out-of-order events Build and orchestrate pipelines using Prefect … technical strategy for the platform Requirements 4–6+ years of building production data pipelines with measurable business impact Deep expertise in Python, SQL, and pandas , with experience in memory optimisation and vectorisation Experience managing messy real-world data and maintaining high data quality standards Strong code quality practices (e.g., ruff ...

Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization ...

Quantitative Developer (Python) - Fixed Income - Hedge Fund - London - £120k to £140k Role: Quantitative Developer (Fixed Income) Experience level: 2-8 years Requirements: Python, NumPy, Pandas, Credit/Fixed Income experience, etc. Compensation: £120,000-£140,000 (base) + generous bonus Durlston Partners is working with an elite-level Hedge Fund … join their team. The Profile: Experience: 2–8 years in a Quant Development role (Hedge Fund or Tier-1 IB) Tech Stack: Python, NumPy, Pandas, etc. Domain (Essential): Deep knowledge of Fixed Income or Credit products Education: Strong STEM background (CS, Math, Physics) Why Apply? Culture: Flat structure, rapid release ...

Full-Stack Developer Location: City of London (1 day a week) Salary: £50,000 – £60,000 per annum Are you a talented Full-Stack Developer looking to make a real impact? We’re partnering with ...