16 to 40 of 165 Pandas Jobs

toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network ...

comfortable with ambiguity and will want to dive deep and fix problems at scale. The environment looks a bit like this 👇 👉 Python (pandas, numpy, scipy, PySpark) 👉 SQL 👉 AWS or GCP (BigQuery/RedShift/Snowflake) 👉 Spark/Databricks 👉 Airflow/Dagster ...

systems Background in trading systems, market data, or quantitative infrastructure Solid understanding of concurrency, algorithms, OOP, and system design Experience with Python (NumPy/Pandas) in a scientific or trading context Comfortable working in Unix/Linux environments Experience with SQL/NoSQL/tick databases is a plus Exposure ...

Software Engineer with up to 6+ years of hands-on Python experience. Familiarity with AWS Serverless and related technologies would be advantageous. Strengths in Pandas, Polars, Pytest, Postgres, and CI/CD is essential. If you're interested in Agile methodologies, and have a curiosity about DDD and Event-Driven ...

experiments, and technical processes. Required Skills & Qualifications:- Classic Machine learning (Regression, predictive Analysis, Classification, Clustering) Machine learning Model Optimisation Strong proficiency in Python (NumPy, Pandas, Scikit-learn). Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras. Experience in Natural Language Processing (NLP) and/or Computer Vision. ...

experiments, and technical processes. Required Skills & Qualifications Classic Machine learning (Regression, predictive Analysis, Classification, Clustering) Machine learning Model Optimisation Strong proficiency in Python (NumPy, Pandas, Scikit-learn). Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras. Experience in Natural Language Processing (NLP) and/or Computer Vision. ...

experiments, and technical processes. Required Skills & Qualifications Classic Machine learning (Regression, predictive Analysis, Classification, Clustering) Machine learning Model Optimisation Strong proficiency in Python (NumPy, Pandas, Scikit-learn). Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras. Experience in Natural Language Processing (NLP) and/or Computer Vision. ...

data extraction and manipulation. Experience working with large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling ...

Qualifications Core Technical Skills Skill Area Requirements Programming Strong proficiency in Python for data manipulation and scripting. Familiarity with standard Python data libraries (e.g., Pandas, NumPy ). Database Expert-level proficiency in SQL (Structured Query Language). Experience writing complex joins, stored procedures, and performing performance tuning. Big Data Concepts ...

experience in data analysis or data science (graduate roles, internships, placements, or academic projects welcome) 🐍 Strong Python experience for data analysis and modelling (pandas, NumPy, scikit-learn or similar) 🗄 Solid experience working with SQL and structured datasets ☁️ Hands-on experience using AWS (e.g. S3, RDS, Athena, Glue, or similar ...

hands-on experience with data analysis or machine learning (internships, placements, academic or commercial projects) 🐍 Strong Python fundamentals and exposure to libraries such as pandas, NumPy, and scikit-learn 🧮 A solid understanding of statistics, data wrangling, and model evaluation 🗄 Confidence working with SQL and structured datasets ☁️ Familiarity with cloud platforms ...

week sprint cycles, and collaborating closely with cross-functional teams to deliver high-quality solutions. The Engineering Team develop predominantly be in Python, with Pandas and SPARQ Data frames for backend APIs, and with JavaScript with React for the front end and an understanding of these technologies is beneficial. ...

completed Master’s degree (Russell Group preferred) in Data Science, Computer Science, Mathematics, Physics, Engineering, or similar Excellent Python skills and ML foundations (e.g. pandas, NumPy, scikit-learn; strong coding practices matter) Strong grasp of model evaluation, statistics, and experimentation Confident working with data at scale using ...

internships/placements welcome in addition) Strong SQL skills and confidence working with relational data and large datasets Strong Python for analysis/automation (pandas, NumPy; good coding hygiene) Essential: Dashboarding experience in Power BI, Tableau, or Looker (building and maintaining stakeholder-facing dashboards) Solid understanding of analytics fundamentals: data ...

team-focused mindset. Nice-to-Have Skills Exposure to cloud platforms like AWS, Azure, or GCP. Experience with data manipulation libraries like pandas or NumPy. Familiarity with APIs and working with large datasets. Understanding of version control systems like Git. Why Join Us? Professional Growth : Gain invaluable experience and mentorship ...

platforms within financial services. Proven experience working with historical market data and time series in a market risk context. Technical Skills Strong Python skills (pandas, numpy, data engineering best practices). Advanced SQL and strong experience with Snowflake (warehouse management, streams/tasks, query optimisation). Experience building scalable, production ...

domains. Experience with recommender systems, personalisation, or deep learning is desirable but not essential. Solid Python skills and experience with ML libraries such as pandas, numpy, scipy, scikit-learn, TensorFlow or PyTorch. Experience working across cloud environments (GCP, AWS, or Azure) and analytics platforms such as Dataiku. Good understanding ...

with new methodologies and contribute to our internal library of proprietary tools and frameworks. Technical Profile Expert Programming: Mastery of Python and its ecosystem (Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow). Experience writing production-ready, modular, and well-tested code. Advanced Modeling: Deep theoretical and practical knowledge of Machine ...

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. ...

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 ...

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 ...