101 to 125 of 140 Pandas Jobs in the UK

us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression) to real problems, ensuring solutions are robust and meet ...

us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression) to real problems, ensuring solutions are robust and meet ...

us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression) to real problems, ensuring solutions are robust and meet ...

applications, including memory management. Experience with widely used tools in data science and machine learning. Developers should be somewhat familiar with libraries like NumPy, pandas, scikit-learn, and PyTorch. Proficiency in testing approaches and frameworks like pytest as well as automation tools like Github Actions or Travis CI for maintaining ...

commercial setting. Skilled at working with non-technical stakeholders to scope, design and deliver effective ML solutions. Proficient with the Python data science stack (pandas, scikit-learn, Jupyter, etc.) and version control tools like Git. Exposure to LLMOps, model monitoring, CI/CD and related technologies (Docker, MLflow, Kubernetes, FastAPI ...

application within the risk space. What you'll need to succeed : Extensive Python application development experience within financial services - must have. Strong experience with Pandas and Numpy. Strong data analysis and data manipulation experience within financial services - must have. Strong experience with Django or similar. Good knowledge across a range ...

productionise models Communicate insights to technical and non-technical stakeholders Mentor junior team members Skillset: Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy) Experience with AWS cloud services (SageMaker, Lambda, S3) Familiarity with MLOps tools (MLflow, Weights & Biases) Knowledge of NLP, computer vision, or time-series analysis Ability ...

FastAPI. Work with Python web frameworks such as Flask, Django, FastAPI, and Jinja2. Data, Analytics & Databases Perform data manipulation and analysis using tools like Pandas and NumPy. Design, query, and maintain both relational databases (e.g., PostgreSQL) and NoSQL/document stores (e.g., MongoDB). Build data pipelines and support analytics ...

heavily aligned to the ESRI ecosystem, including: • ArcGIS Pro • ArcGIS Online • ArcGIS Field Maps • Migration away from legacy ArcMap Key technologies include: • Python • ArcPy • Pandas • ETL processes • SQL/SQLite Desirable experience: • C# with ArcGIS Pro SDK • Node.js or JavaScript frameworks What We’re Looking For • Strong experience working with ...

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 ...

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 ...

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 ...

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 ...

+ ML/NLP stack High quality production code in Python . Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit learn . Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection. NLP/NLU skills: entity/relation recognition, summarisation, topic ...

relational databases Git or similar version control Desirable but not essential: Cloud platforms Docker or containerised environments Data processing libraries such as NumPy or Pandas You should be comfortable working independently, communicating clearly, and taking responsibility for the systems you work on. Salary and benefits Salary ...

relational databases Git or similar version controlDesirable but not essential: Cloud platforms Docker or containerised environments Data processing libraries such as NumPy or Pandas You should be comfortable working independently, communicating clearly, and taking responsibility for the systems you work on. Salary and benefits Salary ...

solutions. Requirements: BA or BS degree, or equivalent experience in Mathematics, Statistics, Business Analytics, Economics, Physics, Engineering, or related fields. Knowledge of Python, SQL, pandas, matplotlib, Scikit-Learn. Strong understanding of statistical concepts and machine learning algorithms. Exceptional problem-solving skills and keen attention to detail. Excellent communication and interpersonal ...

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 ...

parsing, rules engines, and data quality checks, with an emphasis on writing maintainable, well-structured code Experience using Python libraries for data wrangling (e.g. Pandas, Polars), modelling (e.g. scikit-learn), and visualisation (e.g. matplotlib) Experience with modern data tooling (e.g. Spark, Azure Data Factory) or the ability to implement equivalent ...

understanding of media, marketing, pricing, and promotional levers, and how they influence commercial performance. Solid Python skills for data manipulation, modelling, and visualisation (e.g., pandas, NumPy, scikit-learn). High proficiency with Microsoft Office, particularly Excel, PowerPoint, and Word. Exceptional attention to detail and a commitment to analytical rigour. Ability ...

understanding of media, marketing, pricing, and promotional levers, and how they influence commercial performance. Solid Python skills for data manipulation, modelling, and visualisation (e.g., pandas, NumPy, scikit-learn). High proficiency with Microsoft Office, particularly Excel, PowerPoint, and Word. Exceptional attention to detail and a commitment to analytical rigour. Ability ...

projects with support from more experienced colleagues. Some experience presenting technical findings to non-technical stakeholders. Proficient with the Python data science stack (pandas, scikit-learn, Jupyter, etc.) and version control tools like Git. Any exposure to LLMOps, model monitoring, CI/CD and related technologies (Docker, MLflow, Kubernetes, FastAPI ...

succeed : Extensive Java development experience within investment banking or commodities - must have. Extensive Kafka experience. Working knowledge of Python frameworks, e.g. Django, Flask, Pandas etc. Strong experience with data streaming standards and design patterns. Good knowledge of Microsoft's development stack. What you'll get in return : Up to £925pd ...

Strong SQL skills, with experience writing and optimising complex queries against financial data Solid working knowledge of Python for data analysis and manipulation (e.g. Pandas) Experience using Power BI to visualise financial data and communicate insights clearly Confident communication skills, with the ability to explain financial insights to non-technical ...