201 to 221 of 221 Remote Pandas Jobs

bring 2+ years professional experience in Python, including use of NumPy and other scientific libraries. A passion for working with data/dataframes and solving data-related challenges. Strong Pandas experience is required. Minimum bachelors degree in a STEM subject at a reputable academic institution. A desire to work closely with Researchers and accelerate their research. The ability to self More ❯

governance What You Bring Degree in Computer Science, Engineering, or related technical field 2+ years experience in applied ML, data engineering, or AI systems development Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL Experience with cloud platforms and modern ML infrastructure (e.g. Databricks, MLflow, Docker, CI/CD) A practical mindset, curious, experimental, and focused on More ❯

data analysis and validation. Analyse all datasets to ensure that each KPI is understood, and data is ready for modelling. Proficiency in using Excel/SQL/Python/Pandas to process, transform, create variables, and build models. Build base models according to the project specification, incorporating all drivers of KPIs, providing rationale for variables selection, understanding coefficients and contributions. More ❯

managing or mentoring BI Analysts. Advanced Power BI skills, including DAX and data modelling. Strong understanding of relational databases, data warehousing, and tools such as Databricks. Experience with Python (Pandas/PySpark) and Git/CI/CD processes. Excellent communication skills and high attention to detail. Experience in housing, construction, or ERP/CRM systems (COINS, Dynamics, SAP, or More ❯

managing or mentoring BI Analysts. Advanced Power BI skills, including DAX and data modelling. Strong understanding of relational databases, data warehousing, and tools such as Databricks. Experience with Python (Pandas/PySpark) and Git/CI/CD processes. Excellent communication skills and high attention to detail. Experience in housing, construction, or ERP/CRM systems (COINS, Dynamics, SAP, or More ❯

pressure). Communicate findings effectively to 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). A deep passion More ❯

pressure). Communicate findings effectively to 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). A deep passion More ❯

pressure). Communicate findings effectively to 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 football metrics (possession value More ❯

pressure). Communicate findings effectively to 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). A deep passion More ❯

pressure). Communicate findings effectively to 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). A deep passion More ❯

pressure). Communicate findings effectively to 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). A deep passion More ❯

backend development . Deep understanding of data modelling, ETL/ELT processes, and distributed data systems . Hands-on experience with SQL/NoSQL databases , and data frameworks like Pandas, PySpark, or Airflow . Cloud experience with GCP, Azure, or AWS (BigQuery, Dataflow, ADF, Glue, or similar). Comfortable working autonomously in a fast-moving environment, with the curiosity and … with LLMs, ML pipelines, or data science workflows is a plus. Knowledge of financial services, compliance, or regulatory data is beneficial but not essential. Tech Stack Languages: Python (FastAPI, Pandas, PySpark) Databases: MongoDB, PostgreSQL Data Processing: Airflow, Redis, GCP BigQuery/Azure Data Factory Cloud: Azure (migrating to GCP; AWS potential) Frontend: Next.js/React (for internal tools) What We More ❯

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing how the … seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that’s fusing AI, science, and engineering to More ❯

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing how the … seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that’s fusing AI, science, and engineering to More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's … seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science, and engineering to More ❯

and development of junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML … principles and version control (e.g., Git). Excellent problem-solving skills and ability to work independently or in a team. Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML More ❯

We are looking for someone who gets their hands dirty with the data, produces actionable insights, and automates everything they can. WHAT YOU’LL DO Use SQL and Python (pandas, NumPy) daily to clean, join and transform data into analysis-ready tables. Build and maintain lightweight automated pipelines to refresh reports and validate data with minimal manual intervention. Create and … control (Git) for reproducibility. WHAT WE’RE LOOKING FOR Technical Skills – Must Have Strong SQL : confident writing complex queries, joining large datasets, and optimising performance. Strong Python : comfortable with pandas, NumPy, and writing automation scripts. Looker (or similar BI tool) : able to create and maintain dashboards; happy to cross-train if experienced in Tableau or Power BI. Understanding of data More ❯

in common: a curiosity for learning, a drive to deliver projects brilliantly, and a belief that together we make a difference. Using your expertise in Azure Machine Learning, Python (pandas, scikit-learn) and Azure SDKs, you will help shape our Data & Productivity capability—designing, training, and deploying models with MLflow/AutoML, and integrating them into real business processes. You … design, delivery, and governance across the ML and AI lifecycle. Experienced in designing, training, registering, and deploying models using Azure Machine Learning (AML), AutoML, and MLflow. Proficient in Python, pandas, and scikit-learn for data science and feature engineering, with a strong focus on rigorous validation and experiment tracking. Skilled in deploying models to real-time REST endpoints and orchestrating More ❯

About the roleWe are excited to be hiring a new Data Scientist into our team! Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits More ❯

Data Scientist Location: Hybrid (Greater Bristol Area) Salary: £54,000 Python - PySpark - Azure - Pandas - Scikit-learn - TensorFlow - PyStats - Data Science - Power BI We're supporting a growing, forward-thinking organisation in their search for an experienced Data Specialist. This is an exciting opportunity to join a dynamic team at a pivotal point in its growth, helping shape data strategy, deliver … solutions through advanced machine learning models, statistical methods, and high-performance data pipelines. Skills & Experience Required To be considered, you will need: Strong proficiency in Python and key libraries (pandas, scikit-learn, TensorFlow, PyStats). A solid understanding of machine learning techniques and real-world performance trade-offs. Experience building and maintaining end-to-end machine learning applications. Hands-on … AI/ML, Data Science, Mathematics, Computer Science or similar discipline. IoT Data Scientist (Data Science & Data Engineering) Location: Hybrid (Greater Bristol Area) Salary: £54,000 Python - PySpark - Azure - Pandas - Scikit-learn - TensorFlow - PyStats - Data Science - Power BI More ❯

building models, testing hypotheses, and helping drive data-led decisions across the business. What youll be doing Writing advanced SQL to query, transform and model complex datasets. Using Python (pandas, NumPy, scikit-learn) to analyse data and build statistical or predictive models. Applying statistical techniques to uncover trends and measure business impact. Collaborating with Data Scientists, Analysts, and Engineers to … workflows. Presenting clear, actionable insights to non-technical stakeholders. What were looking for Proven experience as a Data Analyst or similar role. Strong SQL and Python skills (experience with pandas, NumPy, etc.). Good understanding of statistics and experience building models. Interest in data science or analytics engineering comfortable exploring new tools and techniques. Excellent communication skills and a collaborative More ❯