126 to 150 of 297 Remote Pandas Jobs

understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). • Proficiency in Python, R, or other relevant programming languages. • Proficiency in working with large datasets, data wrangling, and data preprocessing. • Experience in data science, statistical modelling, and More ❯

s or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the ability to present complex data More ❯

s or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the ability to present complex data More ❯

s or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data More ❯

s or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the ability to present complex data More ❯

s or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the ability to present complex data More ❯

s or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the ability to present complex data More ❯

science in finance, insurance or Ecommerce is an advantage but not required Experience of deployment in a cloud environment Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas Experience with API development SQL experience Software engineering experience DevOps/MLOps experience Good working understanding of CI/CD Diversity and flexible working at Hiscox At Hiscox we care More ❯

proficiency in languages such as Python, C# on Linux, Go, or similar. Utilise Advanced Technical Stack: Leverage our technical stack, including Python, SQL, PostgreSQL, BigQuery, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Pytorch, to develop robust and scalable AI/ML solutions. Strong foundation in data structures, algorithms, and problem-solving, with a clear focus on More ❯

understanding of non-LLM AI, including production deployment Experience with RAG systems (Pinecone or similar) Strong interest in programming languages, parsing algorithms, interpreters, and compilers Extensive experience in Python, Pandas, and at least one other programming language Experience with and clear understanding of graph theory and algorithm implementation Highly motivated and highly independent, able to create and manage a code More ❯

understanding of non-LLM AI, including production deployment Experience with RAG systems (Pinecone or similar) Strong interest in programming languages, parsing algorithms, interpreters, and compilers Extensive experience in Python, Pandas, and at least one other programming language Experience with and clear understanding of graph theory and algorithm implementation Highly motivated and highly independent, able to create and manage a code More ❯

understanding of non-LLM AI, including production deployment Experience with RAG systems (Pinecone or similar) Strong interest in programming languages, parsing algorithms, interpreters, and compilers Extensive experience in Python, Pandas, and at least one other programming language Experience with and clear understanding of graph theory and algorithm implementation Highly motivated and highly independent, able to create and manage a code More ❯

understanding of non-LLM AI, including production deployment Experience with RAG systems (Pinecone or similar) Strong interest in programming languages, parsing algorithms, interpreters, and compilers Extensive experience in Python, Pandas, and at least one other programming language Experience with and clear understanding of graph theory and algorithm implementation Highly motivated and highly independent, able to create and manage a code More ❯

in a business setting Educated to Bachelor's degree level or equivalent qualification/relevant work experience Excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy) Excellent analytical and data science skills, including ability to independently drive research Excellent communication skills, both written and verbal, with ability to manage multiple stakeholders (beneficial) Understanding financial markets More ❯

professional experience. Have experience designing machine learning algorithms, including feature engineering, model selection, and hyperparameter tuning. Are comfortable working with Python data science libraries such as Jupyter Notebooks, Numpy, Pandas, and SciKit Learn. Can effectively visualise data and confidently communicate insights to colleagues from a range of disciplines. Have an interest in maps and location-based applications, along with experience More ❯

leadership potential through your ability to mentor colleagues, drive projects forward, and influence stakeholders. You should apply if you: Have a strong technical background, including proficiency in Python (NumPy, Pandas, Scikit-Learn, etc.), SQL, and cloud platforms such as GCP or AWS. Have experience working with modern databases like BigQuery, Snowflake, or Redshift. Have successfully deployed machine learning models or More ❯

for C-suite stakeholders and decision-makers. Experienced in using BI tools such as Tableau or Microsoft Power BI. Proficient in Python with strong experience in libraries such as pandas, scikit-learn, and xgboost, and writing clean, modular, and reusable code. Experienced in deploying Python scripts and ML workloads. Familiarity with SQL, including writing complex queries with Common Table Expressions More ❯

marketing, or product-focused roles Understanding of LTV modeling, forecasting, and experimental design Comprehension of A/B testing methodologies Proficiency in Python for data analysis and modeling (e.g., pandas, scikit-learn, statsmodels) Strong SQL skills and experience working with large datasets in modern data environments Experience working with cross-functional growth or marketing teams Competent user of data visualization More ❯

Expertise with machine learning libraries: PyTorch, TensorFlow, scikit-learn, and deep understanding of model lifecycle management. Strong command of the tools for building machine learning models. Proficient in Python (Pandas, NumPy, scikit-learn, PyTorch) and advanced SQL. 2 to 3 years of experience with big data platforms: Snowflake, Databricks or Spark. Solid understanding of probability theory, statistical testing, and model More ❯

science in finance, insurance or Ecommerce is an advantage but not required ??Experience of deployment in a cloud environment ??Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas ??Experience with API development ??SQL experience ??Software engineering experience ??DevOps/MLOps experience ??Good working understanding of CI/CD If you hold the experience and technical skills outlined above More ❯

science in finance, insurance or Ecommerce is an advantage but not required Experience of deployment in a cloud environment Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas Experience with API development SQL experience Software engineering experience DevOps/MLOps experience Good working understanding of CI/CD If you hold the experience and technical skills outlined above More ❯

and technical teams Direct experience working with social and digital platforms such as Meta, Amazon, Google to onboard datasets an advantage Proficiency working with data in SQL and Python (Pandas, NumPy preferred) Knowledge of statistical testing methodologies Experience with BI tools (Tableau, PowerBI preferred) Experience with cloud computing services & solutions (AWS, Azure, GCP, Amazon Marketing Cloud, Snowflake) Experience working with More ❯

Science or Forward Deployed roles, with 2+ years direct customer exposure Advanced Python programming skills, including ability to build ML algorithms from scratch using frameworks like numpy, scipy, pytorch, pandas, sklearn Competent SQL skills including CTEs, joins, and ability to learn advanced concepts as needed Experience working in startup or early-stage environments Track record of delivering end-to-end More ❯

emotional impact of longer commutes. We consider a reasonable commute to be no longer than 1.5 hours each way) Strong Python skills, including the use of relevant libraries (NumPy, pandas, etc.) Experience in 2 or 3 of the following: Using data analysis tools Processing large data sets accurately Using relational databases Previous experience of, or willingness to undergo, national security More ❯

or Master's in Statistics, Mathematics, Computer Science, Engineering, Physics, Economics or a related quantitative field Strong grounding in probability, statistics and machine learning fundamentals Working knowledge of Python (pandas, NumPy, scikit‐learn), and basic SQL Curiosity, problem‐solving mindset and the ability to present complex ideas simply Right to work in the UK Nice to have (but not essential More ❯