51 to 75 of 105 Pandas Jobs in London

modeling, optimization, scenario analysis, and statistical methodologies. Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning. Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning. Experience with API development and connecting AI systems to external platforms. Working knowledge ...

modeling, optimization, scenario analysis, and statistical methodologies. Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning. Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning. Experience with API development and connecting AI systems to external platforms. Working knowledge ...

deep learning (CNNs, RNNs, transformers), and statistical modeling. Strong foundation in scenario modeling, optimization, and evaluation metrics for performance and fairness. Proficiency in Python (pandas, NumPy, scikit-learn) and deep learning libraries (PyTorch or TensorFlow). Hands-on experience with LLMs, prompt engineering, fine-tuning, and retrieval-augmented generation ...

deep learning (CNNs, RNNs, transformers), and statistical modeling. Strong foundation in scenario modeling, optimization, and evaluation metrics for performance and fairness. Proficiency in Python (pandas, NumPy, scikit-learn) and deep learning libraries (PyTorch or TensorFlow). Hands-on experience with LLMs, prompt engineering, fine-tuning, and retrieval-augmented generation ...

will help shape data foundations, build end-to-end solutions, and deliver insights that directly influence strategy. Responsibilities: Develop data pipelines using Python, Pandas, and SQL Build and deploy machine learning models with PyTorch Create LLM and workflow integrations using LangChain Consolidate and prepare datasets for analysis and modelling Provide ...

will help shape data foundations, build end-to-end solutions, and deliver insights that directly influence strategy. Responsibilities: Develop data pipelines using Python, Pandas, and SQL Build and deploy machine learning models with PyTorch Create LLM and workflow integrations using LangChain Consolidate and prepare datasets for analysis and modelling Provide ...

Python coding. It is essential to have good knowledge of Python built in data types/functionality as well as associated tools such as Pandas/Polars, and web frameworks. The ideal candidate will be passionate about the latest AI/Machine Learning/Automation techniques and tools, with some ...

Data Scientist or Pricing Analyst in a commercial or tech environment Advanced SQL skills for querying and transforming large datasets Strong Python experience (e.g. pandas, numpy, scikit-learn, statsmodels) Solid understanding of pricing theory, optimisation, and experimentation Experience working with large-scale data in a fast-paced environment Ability ...

data engineering, ideally within quantitative finance. Advanced degree in a quantitative discipline (Mathematics, Physics, Computer Science, Engineering). Strong Python programming skills (experience with Pandas, NumPy; familiarity with Polars a plus). Proven ability to work with large-scale alternative and traditional financial datasets. Interest in financial markets and applying ...

data engineering, ideally within quantitative finance. Advanced degree in a quantitative discipline (Mathematics, Physics, Computer Science, Engineering). Strong Python programming skills (experience with Pandas, NumPy; familiarity with Polars a plus). Proven ability to work with large-scale alternative and traditional financial datasets. Interest in financial markets and applying ...

Strong grounding in statistics, mathematics, and applied data science. Proven experience leading analytics or data science projects from conception to delivery. 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 ...

Strong grounding in statistics, mathematics, and applied data science. Proven experience leading analytics or data science projects from conception to delivery. 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 ...

technical audiences Mentor junior data scientists and help shape AI best practice Requirements Strong experience in AI, machine learning and statistics Python expertise (e.g. pandas, NumPy, scikit-learn, PyTorch, transformers) Experience deploying models and working with cloud platforms (AWS preferred) Ability to communicate complex technical concepts clearly Desirable AWS services ...

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 ...

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 ...

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 ...

Translate complex findings into simple, actionable insights What We’re Looking For 🚀 1–3 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 ...

Translate complex findings into simple, actionable insights What We’re Looking For 🚀 1–3 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 ...

Familiarity with SAP data structures is beneficial Integration with PIM (Product Information Management) systems Design and consumption of REST APIs Programming & Querying Python (advanced): pandas, numpy, boto3, and data processing best practices SQL (advanced): complex queries, performance tuning, and query optimization Data Quality & Governance Data profiling and ongoing quality assessment ...

Familiarity with SAP data structures is beneficial Integration with PIM (Product Information Management) systems Design and consumption of REST APIs Programming & Querying Python (advanced): pandas, numpy, boto3, and data processing best practices SQL (advanced): complex queries, performance tuning, and query optimization Data Quality & Governance Data profiling and ongoing quality assessment ...

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 ...

volume, and mix analysis and margin optimisation . Tech Environment Core Skills: SQL (essential), Power BI (advantageous) Platform: Microsoft Fabric (mid-implementation) Languages: Python (pandas/numpy - desirable, not essential) Other: Salesforce & Google Analytics exposure beneficial About You Proven experience as an Insight Analyst , ideally in wholesale, distribution, or another ...

volume, and mix analysis and margin optimisation . Tech Environment Core Skills: SQL (essential), Power BI (advantageous) Platform: Microsoft Fabric (mid-implementation) Languages: Python (pandas/numpy - desirable, not essential) Other: Salesforce & Google Analytics exposure beneficial About You Proven experience as an Insight Analyst , ideally in wholesale, distribution, or another ...

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 ...

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 ...