16 to 40 of 134 Pandas Jobs

support vital national security projects. In order to be successful, you will have the following experience: Experienced in the Python data stack (PySpark, numpy, pandas, scikit-learn, etc.) Experienced within AWS-based infrastructure and services Excellent communication skills, able to work with customers to shape requirements Hold active SC clearance ...

support vital national security projects. In order to be successful, you will have the following experience: Experienced in the Python data stack (PySpark, numpy, pandas, scikit-learn, etc.) Experienced within AWS-based infrastructure and services Excellent communication skills, able to work with customers to shape requirements Hold active SC clearance ...

They're Looking For Around 3-5 years' experience in a Data Science or advanced analytics role Strong Python skills, including libraries such as pandas, NumPy, SciPy, and scikit-learn Experience with gradient boosting frameworks (e.g. LightGBM or similar) Solid grounding in statistics and machine learning concepts Comfortable working with ...

sole British citizens and resided in the UK for 5 years or over. Key Responsibilities 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 ...

entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour). Engineering & Stack: Python: Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong SQL skills and experience building data pipelines. Experience: Education: Degree in a quantitative field (Statistics, Mathematics, Computer Science, etc. ...

/CD pipelines. Experience with Redis, Celery, RabbitMQ, or Kafka. Familiarity with microservices architecture. Knowledge of AI/ML libraries such as Pandas, NumPy, TensorFlow, or PyTorch is a plus. Qualificat ...

internal data science capabilities. Skills & Experience Significant commercial experience in Data Science, Machine Learning, or Advanced Analytics. Strong Python skills with experience using pandas, NumPy, Jupyter, and related tools. Hands-on experience building and deploying predictive models in production environments. Experience with pricing, forecasting, revenue optimisation, risk modelling, or similar ...

Skills and Experience Strong commercial experience developing machine learning solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven application ...

stability and performance over time. Required Skills and Qualifications Technical Expertise (The Core) Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy . Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . Statistics & Math: Strong foundation ...

Have an advanced degree in Computer Science, Mathematics, Statistics or a similar quantitative discipline Are proficient with Python, including open‐source data libraries (e.g., Pandas, Numpy, Scikit‐learn) Have experience productionising machine learning models and/or AI solutions Are an expert in one of predictive modelling, classification, regression, optimisation ...

structured, semi-structured, or unstructured data, especially large-scale text or content datasets. Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib. The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical ...

TensorFlow, or Keras for deep learning. AWS Bedrock, SageMaker, HuggingFace, or Transformers for LLM-based solutions. CrewAI (or similar frameworks) for agentic AI projects. Pandas/NumPy for data processing and transformation. Intuition for selecting the right models and approaches for different use cases. Cybersecurity expertise is a plus ...

platforms (e.g., Hadoop), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure).* Programming Skills: Programming skills in languages like Python (NumPy, pandas, PySpark), Java (Core Spark with Java, functional interface, collections), or Scala with experience in automation and scripting.* Infrastructure Tools: Experience with containerization and orchestration tools ...

sample and genomic data. You have A BSc or MSc in computer science or related fields Expertise in Python, including popular Python libraries: NumPy, Pandas, PySpark and frameworks: Django, Django Rest Framework, FastAPI Hands-on experience with both relational (e.g. PostgreSQL) and non-relational databases (e.g. Elasticsearch, Redis) Extensive experience ...

support cross- community meetings and working groups Assimilate large volumes of information, and independently produce reports using data science focused libraries such as Pandas, Scikit, TensorFlow and Gensim Clearance: Must possess and maintain a TS/SCI clearance Bonus points for Masters in Data Science, Data Analytics, Informatics, Statistics ...

Python or R, SQL, No SQL. Assist in developing predictive and statistical models Write and optimize queries using SQL. Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability. Hands-on experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch. Preferred Skills: Hands on experience in coding ...

subscribers, QoS, message types, and topic debugging* Experience working with physical robot hardware, camera streams, joint states, or latency-sensitive control paths* OpenCV, NumPy, pandas, PyTorch, JAX, cloud, HPC, or LeRobot dataset format experience* Experience working closely with ML researchers or robotics engineers in a fast-moving technical environment ...

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 ...

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, and PyTorch. Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe. Familiarity with ...

data/ML driven equivalent. 5+ years of experience in Data Science, ML Engineering, Data Analytics, or a related speciality. Experience with Python (Pandas, Scikit-learn or equivalent). Experience with data exploration and visualisation. Strong presentation and communication skills. Willingness to engage and work with others as part ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...