51 to 75 of 80 Pandas Jobs in London

data science in a commercial setting. Proven track record in customer or marketing analytics - understanding acquisition, engagement, churn, and lifetime value. Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels) for data wrangling, analysis, and modelling. Ability to communicate complex findings in a clear, business-relevant way. Experience working collaboratively ...

analytics or data science projects from conception to delivery. Experience with customer focused Data Science techniques - especially around personalisation and recommenders. Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels, Matplotlib) for analysis, modelling, and visualisation. Experience with customer, product, or financial analytics - understanding drivers of engagement, retention, and value. Track ...

findings into simple, actionable insights What We’re Looking For 🚀 Graduates up to 3 years’ experience in data science or analytics 🐍 Strong Python skills (pandas, numpy, scikit-learn) 🗄️ Solid SQL for data extraction and manipulation 📊 Experience with Tableau or Power BI is a bonus 🧠 Strong problem-solving and analytical thinking ...

Power BI experience (advanced DAX, dimensional modelling, performance optimisation) Professional dashboard and semantic model development Fluent SQL (complex joins, transformations, optimisation) Python for analysis (pandas, statistics, scikit-learn) Advanced Excel skills Experience & Background: proven experience in consulting or fast-moving commercial environments Strong academic background in a quantitative discipline Experience ...

science to deliver commercial impact. A strong academic background (Bachelor’s degree 2:1 or above in a quantitative subject). Strong Python skills (Pandas, NumPy, Scikit-learn or similar). A collaborative mindset with excellent communication skills. Experience working in cross-functional teams delivering production-ready solutions. If this ...

models that perform reliably in complex operational environments. What We’re Looking For Strong experience in Python and SQL, including libraries such as Pandas, NumPy and scikit-learn. Experience working with deep learning frameworks such as PyTorch or TensorFlow. A solid grounding in statistics and probability, with strong mathematical foundations ...

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 ...

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 ...

software and deploying production-ready solutions. Strong proficiency in Python and core AI/data science libraries, such as: PyTorch, TensorFlow, ScikitLearn, Keras, NumPy, Pandas PyTorch Geometric, JAX, XGBoost, OpenCV Transformers, LangChain, Pinecone Hands-on experience with cloud computing systems for training, optimising, and deploying models. Strong communication skills ...

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 ...

environments. Key Skills: Must-have: Strong experience working with Azure-based and MS environments SQL and relational database management Python for data analysis (e.g. Pandas, NumPy, Matplotlib) Data visualisation using Power BI or Tableau ideal Familiarity with Agile delivery methodologies Microsoft Fabric Power Apps, Power Automate, Dataverse Apache Spark/ ...

experience in Machine Learning Strong experience in Computer Vision (e.g. object detection, image classification, segmentation) Experience building, training and optimising ML models Python (NumPy, Pandas, scikit-learn) and frameworks such as TensorFlow or PyTorch Experience deploying models into production environments (cloud platforms, Docker, CI/CD pipelines) Clearance requirements: Active ...

best practices Required Experience 15+ years in Data Analyst/Data Engineer/Data Architect roles Strong expertise in Databricks on AWS Advanced Python (Pandas, Scikit-learn) and SQL skills Proven experience in large-scale cloud data migrations Hands-on experience with LLMs and GenAI-based automation Strong experience designing ...

meaningful features, develop detection logic, and communicate findings effectively to non-technical stakeholders. Essential Skills & Experience Strong Python for data processing and analytics (e.g., pandas, numpy; scikit-learn or equivalent) Structured data expertise: joins, aggregations, data cleaning, handling missing data/outliers, basic data modelling concepts Feature engineering: ability ...

Data Engineering, SRE, SWE or Data Ops roles in high performance, time sensitive environments. Strong Python proficiency, including exposure to libraries such as Pandas, Arrow, and Spark. Strong grasp of data modelling, normalization and API development for large scale analytical or trading systems. Experience with lakehouse architectures (Databricks ideally ...

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 ...

Stack You'll Work With Python (5+ years experience required) Snowflake/Databricks dbt Dagster AWS (Aurora/RDS - Postgres) cube.dev (nice-to-have) Pandas/Polars, NumPy Terraform/OpenTofu (nice-to-have) Django/FastAPI , Celery/RabbitMQ , MongoDB/DynamoDB (nice-to-have) What They're Looking ...

compliance, clean code, unit testing, and version control (Git, Unix, pytest). Experience retrieving data from structured, unstructured and web sources (Selenium/PlayWright, Pandas, XML etc) Must have experience building data engineering pipelines in Azure Experience in Azure including Azure Fabric, Data Factory and Azure integrated services such ...

within a product or operational environment, with demonstrable impact on decision-making Advanced hands-on experience with data processing and analysis tools (SQL, Python, Pandas, etc), with a bias towards exploration, insight and explanation Proven ability to understand legacy datasets/pipelines and to evaluate their fitness ...

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 ...

publish the library to PyPI Required Skills & Experience Strong Python development experience Experience working with REST APIs Familiarity with data manipulation libraries (e.g. pandas, numpy) Experience writing clean, well-documented, testable code Understanding of Python packaging and versioning Desirable Experience publishing packages to PyPI Familiarity with data science or analytics ...

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 ...

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 ...

Python Developer, NumPy, Pandas, COR7433E This is a great time for a junior-to-mid-level Python Developer, to consider joining an established Oxfordshire-based scale-up in the Medtech sector. The Python Developer will be joining a dedicated R&D team that leverage machine and deep learning … monitoring of deep-learning enabled products into hospitals, the Python Developer will work with a variety of technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark ...

design, development, and testing of machine learning models and data analytics solutions . Perform data cleaning, preprocessing, and transformation using Python libraries such as pandas and NumPy . Conduct exploratory data analysis (EDA) to identify trends, patterns, and correlations. Assist in feature selection and engineering to improve model performance. Evaluate … degree in Computer Science, Data Science, Statistics, Mathematics, or a related field . Strong proficiency in Python and key data science libraries ( NumPy, pandas, scikit-learn, Matplotlib, Seaborn ). Basic understanding of supervised and unsupervised learning algorithms (e.g., regression, classification, clustering). Knowledge of data querying and manipulation using ...