51 to 69 of 69 Pandas Jobs in London

tabular data. Several years' experience as a data scientist in industry or related environments. Proficiency in Python and common ML/data libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers). Understanding of software and ML engineering best practices (git, package development, model deployment). Experience with cloud platforms, particularly ...

such as Computer Science, Physics, Mathematics, Engineering, or Economics. Python skills : Strong foundations in Python, with the ability to write clean, readable code using pandas and numpy. Data fundamentals : Comfortable using SQL to query and transform data, with a sharp eye for identifying when data doesn’t look right. ...

methods applied across multiple domains (NLP, vision, audio, time series, tabular data). Proficient in Python and relevant ML/data science libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers). Experience with cloud-based model deployment (AWS) and ML engineering best practices. Excellent communication, problem-solving, and project delivery ...

years of experience in data science, data analytics, or applied AI/ML engineering. · Strong programming skills in Python, ideally with ML libraries (NumPy, pandas, SciKit-Learn, TensorFlow, or PyTorch). · Experience with GIS tools (ArcGIS, QGIS) and geospatial data formats. · Solid understanding of machine learning, statistics, and data modeling. ...

model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps tools. Fluency in validation and evaluation framework and metrics frameworks ...

strategies. You'll work on impactful questions around population changes, geographical factors, and operational models for screening services. Key Requirements: Strong skills in Python, Pandas, SQL, and data wrangling Experience with BI tools and data visualization Previous medical sector experience is essential BPSS clearability Comfortable working in Agile environments What ...

data cleansing and ETL pipelines Strong event-level/behavioural data experience Able to work independently and make smart technical decisions Nice to have: pandas/polars dbt Django or backend exposure DevOps or data science familiarity Why join Founding-level ownership High-impact, high-autonomy role Greenfield build Real ...

discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive ...

hands-on experience in data engineering , ideally in startups, consumer subscription apps, or MarTech . Strong Python skills (certifications or deep experience with Pandas, Polars ). Experience with behavioral tracking data (e.g., Amplitude, Mixpanel, Segment). Familiarity with dbt, Django, and DevOps/ML workflows . A proactive, founding-engineer ...

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 ...

maintain Power BI dashboards for trading, risk, and regulatory reporting Required Skills Data engineering experience building production pipelines Python, SQL, and Spark proficiency. Pandas/Numpy/Data Science Skillset Experience with investment banking data (trades, positions, market data, reference data) BI development with strong Power BI (DAX, Power Query ...

machine learning methods; Eye for quality and attention to detail; Fluency in English (written and verbal communication) is required; Proficiency in Python (e.g. pandas, scikit-learn); Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish...) is valued. MINDSET Interested in weather and natural perils modelling (wildfires, hail ...

Python (and you can work independently, not just with AI-assisted coding). Strong skills in: Data wrangling/manipulation (e.g., dplyr, pandas) Visualisation (e.g., ggplot2, matplotlib) Statistical modelling (e.g., multilevel models, Bayesian methods, machine learning) Experience working hands-on with real-world datasets: cleaning, validating, and interpreting results (including ...

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 or personal projects related to football data. Knowledge of advanced ...

term stability and maintainability. Apply SOLID principles and appropriate design patterns to ensure scalable and maintainable architecture. Work with modern technologies including SciPy, NumPy, Pandas, SQL, cloud platforms, Docker, Kubernetes, and CI/CD tools. Collaborate with cross-functional teams (data science, consultants, development) across the Netherlands … team. Skills, experience, and education you’ll need Minimum 5 years of hands-on experience with Python, including scientific libraries (especially SciPy + Pandas). Master’s degree in Mathematics, Computer Science, or a closely related quantitative field. Very strong background in mathematics, analytics, or statistical modelling with a proven ...

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 … 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 ...

Python/C# Developer – London Join one of the most exciting new hedge funds in the market We’re partnered exclusively with one of the most talked-about new hedge funds in the market, a ...

Data Scientist - Contract - 12 months+ I have a great contract opportunity for a strong Data Scientist. My London based client is looking for someone with excellent experience in the manufacturing and packaging industry. You need ...