1 to 25 of 49 Pandas Jobs in the South East

Embeddings Transformers: BERT, ELMo OpenAI model suite and API integrations Programming Languages Python (primary), R, C++, C#, Java SQL, Node.js, HTML Libraries & Tools numpy, pandas, scipy, scikit-learn tensorflow, keras, nltk matplotlib, seaborn, plotly Agentic AI Frameworks OpenAI Agents SDK Model Context Protocol (MCP) LangChain, LangGraph Bedrock Agents CrewAI, Helicone ...

Master's or PhD) in Mathematics, Physics, Financial Engineering, or a closely related quantitative discipline. Advanced Python engineering capability (inc. NumPy/SciPy/Pandas). Strong understanding of derivatives pricing theory. Background working with commodity or equity options, including structured derivatives. Solid understanding of Greeks, risk measures, and valuation ...

Word Embeddings - Transformers: BERT, ELMo - OpenAI Models: GPT-3.5 Turbo, GPT-4o, GPT-3o Reasoning, text-embedding-ada-002 Libraries & Tools - numpy, pandas, scipy, scikit-learn, tensorflow, keras, nltk, matplotlib, seaborn, plotly Programming Languages - Python, R, C++, C#, Java, Node.js, HTML, SQL Agentic AI - OpenAI Agents SDK, Model Context Protocol ...

Data Engineer: Extensive hands-on experience with AWS data services Strong programming skills in Python (including libraries such as PySpark or Pandas) Solid understanding of data modelling, warehousing and architecture design within cloud environments Experience building and managing ETL/ELT workflows and data pipelines at scale Proficiency with ...

Word Embeddings - Transformers: BERT, ELMo - OpenAI Models: GPT-3.5 Turbo, GPT-4o, GPT-3o Reasoning, text-embedding-ada-002 Libraries & Tools - numpy, pandas, scipy, scikit-learn, tensorflow, keras, nltk, matplotlib, seaborn, plotly Programming Languages - Python, R, C++, C#, Java, Node.js, HTML, SQL Agentic AI - OpenAI Agents SDK, Model Context Protocol ...

researchers to design pipelines for modeling and back-testing. Document and maintain the firm's core data architecture. Requirements: 5+ years of Python development (Pandas, SQL, Linux environment). Hands-on experience building data solutions for trading, research, or risk. Deep technical curiosity and strong problem-solving skills. Strong knowledge ...

when different methods apply Proficiency with statistical analysis in Python or R, including experimentation libraries (scipy, statsmodels, scikit-learn) and data manipulation tools (Pandas, SQL) Experience mentoring or teaching technical material, with a passion for continuous learning and knowledge sharing. Ability to translate technical concepts into clear learning content ...

designing and managing workflows for collecting, cleaning, and storing large volumes of financial data (e.g., price, volume, fundamentals, alternative data), often using tools like Pandas, NumPy, and Dask. Collaborate Across Teams for Deployment, working with researchers, traders, and DevOps teams to integrate Python models into production environments (e.g., through APIs ...

technology, with clear opportunities to contribute to systems that will define the firm's next decade. What We're Looking For Strong Python skills (pandas, NumPy, SQLAlchemy, etc.) Experience working in business-facing engineering roles Background in automating workflows, building internal tools, or integrating data-driven systems Knowledge of mortgages ...

Python coding. It is essential to have good knowledge of Python built in data types/functionality as well as associated tools such as Pandas/Polars, and web frameworks. The ideal candidate will be passionate about the latest AI/Machine Learning/Automation techniques and tools, with some ...

Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine ...

Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine ...

Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine ...

Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine ...

Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine ...

Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine ...

Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine ...

Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine ...

Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine ...

Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine ...

Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine ...

medals or top-tier rankings). Strong experience in data science, analytics, or ML-driven research. Proficiency in Python and key libraries such as Pandas, NumPy, Polars, and scikit-learn. Solid knowledge of experiment design, causal inference, and statistical modeling. Familiarity with SQL, distributed data systems, and experiment tracking tools. ...

medals or top-tier rankings). Strong experience in data science, analytics, or ML-driven research. Proficiency in Python and key libraries such as Pandas, NumPy, Polars, and scikit-learn. Solid knowledge of experiment design, causal inference, and statistical modeling. Familiarity with SQL, distributed data systems, and experiment tracking tools. ...

medals or top-tier rankings). Strong experience in data science, analytics, or ML-driven research. Proficiency in Python and key libraries such as Pandas, NumPy, Polars, and scikit-learn. Solid knowledge of experiment design, causal inference, and statistical modeling. Familiarity with SQL, distributed data systems, and experiment tracking tools. ...

medals or top-tier rankings). Strong experience in data science, analytics, or ML-driven research. Proficiency in Python and key libraries such as Pandas, NumPy, Polars, and scikit-learn. Solid knowledge of experiment design, causal inference, and statistical modeling. Familiarity with SQL, distributed data systems, and experiment tracking tools. ...