51 to 75 of 108 Permanent Pandas Jobs

Ideal Candidate Profile 5+ years of experience in data engineering or similar data-intensive roles. Strong Python skills and experience with data libraries (e.g., Pandas, Polars, Dask, PySpark). Expertise in SQL and relational databases; familiarity with columnar formats (Parquet/Arrow). Experience with distributed systems and messaging tools ...

Bring Deep knowledge of ML/statistical methods (e.g. supervised/unsupervised, Bayesian, time-series). Strong Python skills with core libraries (NumPy, Pandas, Scikit-Learn) plus deep learning frameworks (PyTorch, TensorFlow). Strong leadership in project delivery, architecture, and technical decision-making. Excellent communicator, able to simplify complex ideas ...

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 ...

Requirements: Bachelor's or higher in Computer Science, Engineering, Mathematics, Statistics, or a quantitative discipline. 5+ years developing Python-based financial software, with strong Pandas experience. Exposure to financial datasets across multiple asset classes. Experience supporting quantitative research and modelling. Proficiency in Linux environments. Strong foundation in mathematics and statistics. ...

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 ...

machine learning, working with a talented team delivering important advances for a large government department. Essential Skills and Experience Needed: Python (applied ML): pandas, numpy, Jupyter, strong scripting and reusable code ML frameworks: PyTorch and or TensorFlow (plus scikit-learn) Data exploration & quality: EDA, visualisation (matplotlib/plotly), dataset profiling ...

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 ...

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 ...

Computer Science, or a related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare ...

improve revenue growth and reduce churn. Own product lifecycle including data preparation, data cleaning, data analysis, machine learning, and computer vision using Python, Pandas, Scikit, Plotly, Tensorflow, PyTorch, CUDA, and C++ to create decisions and visualizations and present these insights and visualizations to other members of the company at different ...

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 ...

Data Scientist you will have: At least 2 years experience in Statistics and Machine Learning Experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) At least 3 years Python programming experience Experience applying models to Big Data Familiar with the principles of Continuous Integration and Deployment (CI/ ...

delivering Data Science or Machine Learning solutions in a commercial setting. Strong programming skills in Python (preferred) or R, with experience using scikit-learn, pandas, PySpark or similar. Solid SQL skills and experience working with cloud environments (Azure advantageous). Hands-on experience with Databricks, model deployment and production workflows. ...

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 ...

Essential Strong Python engineering experience Solid SQL skills Comfortable working autonomously in a fast-moving environment Bonus Points For Expertise with SQLAlchemy, scikit-learn, pandas, PostgreSQL Experience building and designing relational databases Strong quantitative background (maths, physics, engineering, computer science, etc.) Exposure to DevOps practices such as containerisation ...

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 ...

Practical Tool Exposure Gain experience with frameworks and technologies commonly used by UK employers. Key Tools & Technologies Python – Core programming for data analysis NumPy & Pandas – Data preparation and manipulation Matplotlib & Seaborn – Visualisation and exploratory analysis TensorFlow, SciPy, Scikit-learn – Machine learning fundamentals Spark – Scalable data processing Flask & Streamlit – Deploying APIs ...

Claude), Generative AI, Retrieval Augmented Generation. Agentic AI, CoPilot, MCPs. AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-Means) Python (NLTK, NumPy, Scikit-learn, Pandas ...

Claude), Generative AI, Retrieval Augmented Generation. Agentic AI, CoPilot, MCPs. AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-Means) Python (NLTK, NumPy, Scikit-learn, Pandas) JBG81_UKTJ . click apply for full job details ...

project of utmost importance for the UK Government, building and delivering data solutions involving machine learning and image identification. Key Skills required: - Python - Pandas - Jumpys - SQL - Kubernetes This role will require an active SC Clearance and British Citizenship is required due to the secure nature of the project. ...