76 to 100 of 118 Permanent Pandas Jobs

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 ...

Preferred Skills & Experience Proven experience developing systematic trading systems, preferably in equities. Strong programming skills in Python, with expertise in libraries such as NumPy, pandas, or Polars. Experience working with SQL databases, Snowflake, and cloud platforms (e.g. AWS). Strong analytical and problem-solving abilities. Excellent organizational skills with ...

data products Your Skills and Experience * Strong commercial experience in data analytics, data science, or consulting environments * Proficiency in Python, including libraries such as Pandas, NumPy and scikit learn * Strong SQL skills and experience working with structured data * Solid understanding of statistical analysis and regression techniques * Exposure to cloud platforms ...

Must-have experience: Proven experience building scalable ETL processes and data pipelines Advanced Python skills (production-grade, performant code) Strong hands-on experience with pandas Strong SQL Server skills Experience with cloud platforms (Azure or AWS) Experience using Git in a team environment Hands-on experience using AI coding tools ...

5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state ...

5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state ...

5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state ...

5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state ...

5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state ...

5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state ...

Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working ...

controls to ensure full lineage and auditability of mission-critical datasets Clean, transform, and condition data using tools such as dbt , Apache NiFi , or Pandas Build and orchestrate repeatable ETL workflows using Apache Airflow , Dagster , or Prefect Develop API connectors for ingesting structured and unstructured data sources Collaborate with data ...

Computer Science, Physics, Engineering, Bioengineering or a related technical discipl ine.Strong Python development experie nce.Experience working with scientific computing libraries such as NumPy, SciPy, Pandas, Matplotlib, Scikit-learn or PyTo rch.Experience integrating software with hardware, instrumentation or other physical syst ems.Experience developing graphical user interfaces using frameworks such as PySide ...

Deep understanding of object-oriented design, concurrency, and high-performance distributed systems Proficient in Python; Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market-related problems Prior ...

cloud platform knowledge (AWS, GCP, or Azure) Solid grounding in distributed systems, CI/CD, testing frameworks, and deployment pipelines Strong data manipulation skills (pandas, SQL) and familiarity with evaluation strategies for LLM-based systems Comfortable working with ambiguity, able to optimise non-deterministic systems through experimentation while balancing latency ...

feed ML models 3+ years of experience using Dask, RAPIDS, or in High Performance Computing 3+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through conference presentations, papers, blog posts ...

feed ML models 3+ years of experience using Dask, RAPIDS, or in High Performance Computing 3+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through conference presentations, papers, blog posts ...

Strong software engineering fundamentals including OOP, clean code, automated testing, CI/CD and observability. Fluent in python and the python data ecosystem (e.g. pandas). Experience building large and complex data pipelines in regulated or high-integrity environments. Solid fundamentals in data modelling, SQL and database design. Ability ...

space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi ...

using Jira. Oversee data preparation and management: cleaning, transforming, and organizing data for AI/ML workflows. Conduct data analysis using Jupyter Notebooks and pandas for exploration and preprocessing. Leverage Hugging Face Model Hub for model comparison, selection, and download. Development Frameworks & Tools: Orchestrate LLM/SLM applications using LangChain ...

Senior Data Scientist you will have: At least 4 years experience in Statistics and Machine Learning Experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) At least 3 years Python programming experience Experience applying models to Big Data Familiar with the principles of Continuous Integration and Deployment (CI/ ...

next generation industrial IoT and AI platform What we're looking for: • Experience in a Data Scientist role • Strong Python skills including pandas, numpy, and scikit learn • Experience working with time series, IoT, sensor, manufacturing, or operational data • Commercial awareness and an understanding of how analytics creates value for customers ...

Core Python development (6–10 years)S trong SQL skills with ability to handle complex queries and large da tasetsExperience with Python libraries (Pandas, NumPy) for data proc essingExperience bui lding R E STful APIs/services (Flask/FastAPI/D jango)Strong understandi ng of data structures ...

seasoned Associate to Mid-level Software Engineer with 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 ...

data models in production environments, particularly across forecasting, pricing, or optimisation use cases • Strong Python engineering skills alongside modern data tooling such as SQL, Pandas, NumPy, SciPy, Dask, Polars, DuckDB, or PySpark • Experience building microservices and working within distributed system architectures • Strong understanding of large-scale or high-frequency data ...