51 to 75 of 485 Permanent Pandas Jobs

a mid-level Python Software Engineer (3-6+ years experience) to drive client implementations and improve integration processes. Our stack includes Python (Dataclasses, Pandas, Asyncio), Postgres, AWS (ECS, Lambda, SQS) —experience with these or similar tech is a plus. Agile (XP), TDD, CI/CD, and automation are central More ❯

a mid-level Python Software Engineer (3-6+ years experience) to drive client implementations and improve integration processes. Our stack includes Python (Dataclasses, Pandas, Asyncio), Postgres, AWS (ECS, Lambda, SQS) —experience with these or similar tech is a plus. Agile (XP), TDD, CI/CD, and automation are central More ❯

data engineering solutions. 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. ~ Proficient in Python 3, including pandas, GeoPandas, boto3, Pydantic, and Data Version Control (DVC). ~ Familiar with Django 4 and core API development. ~ Strong hands-on experience with AWS cloud infrastructure More ❯

hands-on development experience in Python or another object-oriented programming language. Strong proficiency in Python’s data ecosystem, including libraries such as NumPy , Pandas , and Matplotlib . Experience working with cloud platforms (AWS preferred) and Infrastructure-as-Code tools. Solid understanding of relational databases and SQL. Proven track record More ❯

hands-on development experience in Python or another object-oriented programming language. Strong proficiency in Python’s data ecosystem, including libraries such as NumPy , Pandas , and Matplotlib . Experience working with cloud platforms (AWS preferred) and Infrastructure-as-Code tools. Solid understanding of relational databases and SQL. Proven track record More ❯

hands-on development experience in Python or another object-oriented programming language. Strong proficiency in Python’s data ecosystem, including libraries such as NumPy , Pandas , and Matplotlib . Experience working with cloud platforms (AWS preferred) and Infrastructure-as-Code tools. Solid understanding of relational databases and SQL. Proven track record More ❯

optimization. Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing More ❯

and maintenance of Continuous Integration (CI) pipelines. Complex deployments on AWS. Docker or comparable containerization technologies. Nice to have experience: Experience using numpy/pandas/torch/etc. Experience with Golang. Our salary range for the role is £70,000 to £130,000, depending on experience and interview performance. More ❯

with exposure to capital markets or trading (equities and/or execution). Technical Skills: Proficient in Python with some exposure to data analysis (Pandas, NumPy) or similar (R, MATLAB). Solid background in object-oriented programming (Java preferred; C++ or C# also valued). Familiarity with Linux-based systems More ❯

optimization. Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing More ❯

optimization. Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing More ❯

with exposure to capital markets or trading (equities and/or execution). Technical Skills: Proficient in Python with some exposure to data analysis (Pandas, NumPy) or similar (R, MATLAB). Solid background in object-oriented programming (Java preferred; C++ or C# also valued). Familiarity with Linux-based systems More ❯

with experience in backend frameworks like Flask , FastAPI , or Django . Ability to write efficient, reusable, and scalable code. Experience with libraries like NumPy , Pandas , SciPy , or any others commonly used in data processing or modelling. Strong understanding of data structures , algorithms , and complexity analysis . ✅ Mathematical or Computational Modelling More ❯

with experience in backend frameworks like Flask , FastAPI , or Django . Ability to write efficient, reusable, and scalable code. Experience with libraries like NumPy , Pandas , SciPy , or any others commonly used in data processing or modelling. Strong understanding of data structures , algorithms , and complexity analysis . ✅ Mathematical or Computational Modelling More ❯

with experience in backend frameworks like Flask , FastAPI , or Django . Ability to write efficient, reusable, and scalable code. Experience with libraries like NumPy , Pandas , SciPy , or any others commonly used in data processing or modelling. Strong understanding of data structures , algorithms , and complexity analysis . ✅ Mathematical or Computational Modelling More ❯

software engineering and analytics. What You Bring Extensive experience in analytics engineering or model/data engineering roles. Advanced Python coding skills (Numpy/Pandas) and SQL expertise. Proven ability to lead technical workstreams and mentor other engineers. Strong communication skills to navigate client relationships and translate technical insights into More ❯

deployment. Strong software engineering skills, including version control (Git), code reviews, and unit testing. Familiarity with common data science libraries and tools (e.g., NumPy, Pandas, Scikit-learn, Jupyter). Experience in setting up and managing continuous integration and continuous deployment pipelines. Proficiency with containerization technologies (e.g., Docker, Kubernetes). Experience More ❯

our data systems outside of standard business hours. What we are looking for: 5+ years' experience building ETL/ELT pipelines using Python and pandas within a financial environment. Strong knowledge of relational databases and SQL. Familiarity with various technologies such as S3, Kafka, Airflow, Iceberg. Proficiency working with large More ❯

including 3+ years of Python in production (e.g., Flask, Django, Gunicorn, SQLAlchemy, Psycopg2). Strong background in working with large datasets using tools like Pandas, NumPy, or Spark. At least 2 years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow More ❯

including 3+ years of Python in production (e.g., Flask, Django, Gunicorn, SQLAlchemy, Psycopg2). Strong background in working with large datasets using tools like Pandas, NumPy, or Spark. At least 2 years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow More ❯

including 3+ years of Python in production (e.g., Flask, Django, Gunicorn, SQLAlchemy, Psycopg2). Strong background in working with large datasets using tools like Pandas, NumPy, or Spark. At least 2 years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow More ❯

phases of engagements; advisory, design & implementation. Contribute to internal initiatives such as blogs & technical forums. Requirements Substantial experience with Python and relevant libraries (e.g. Pandas, Numpy, Scikit Learn, PyTorch, Tensorflow). Experience driving ML & data science solutions into production. You can put the numbers into a business perspective - you're More ❯

to communicate effectively with scientists, developers, application analysts, managers and IT professionals Extensive experience with Python, including data analysis and scientific computing tools such pandas and NumPy Strong understanding of Web app development, with rxperience in JavaScript, Typescript, or ReactJS Good understanding of web application frameworks such as Flask or More ❯

efficient code development practices. Knowledge of Apache Spark and similar programming to support streaming data. Experience with some of the following Python libraries: NumPy, Pandas, PySpark, Dask, Apache Airflow, Luigi, SQLAlchemy, Great Expectations, Petl, Boto3, matplotlib, dbutils, koalas, OpenPyXL, XlsxWriter. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK More ❯

them across product teams Must be a US Citizen Desired Skills: Experience with reinforcement learning methods. Experience with multiple libraries (NumPy, OpenCV, Scikit, or Pandas, etc.) Experience with DevOps tools: Docker, Git GitLab, GitHub , Continuous Integration CI , Continuous Deployment CD Experience writing Dockerfiles, Helm and Kubernetes deployment scripts and templates More ❯