51 to 75 of 320 Pandas Jobs in the UK

and mentoring experience. Nice to have: Hands-on experience with Snowflake, Airflow, AWS Glue, Spark, and S3. Familiarity with open-source data libraries (e.g., Pandas, DBT). Experience with modern data stacks and AWS cloud services. This is your chance to shape the future of our data ecosystem from the More ❯

Desired Skills & Experience: 5+ years of experience in Python development, ideally within financial services Strong knowledge of Python frameworks (e.g. Flask, Django), data libraries (Pandas, NumPy) Cloud-native experience, especially Microsoft Azure (Functions, Data Lake, etc.) Familiarity with DevOps practices (Git, CI/CD, testing frameworks) Experience with SQL/ 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 ❯

Desired Skills & Experience: 5+ years of experience in Python development, ideally within financial services Strong knowledge of Python frameworks (e.g. Flask, Django), data libraries (Pandas, NumPy) Cloud-native experience, especially Microsoft Azure (Functions, Data Lake, etc.) Familiarity with DevOps practices (Git, CI/CD, testing frameworks) Experience with SQL/ More ❯

Mathematics/Computer Science Academic background 3-5 years of experience with Python (writing and managing code releases) Familiarity with numerical Python libraries, e.g. Pandas, Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation for best practices Experience working with SQL databases and Sqlalchemy desired We More ❯

Mathematics/Computer Science Academic background 3-5 years of experience with Python (writing and managing code releases) Familiarity with numerical Python libraries, e.g. Pandas, Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation for best practices Experience working with SQL databases and Sqlalchemy desired We More ❯

class STEM degree (Maths, Stats, Computer Science, Engineering, etc.) from a top university. Strong foundation in statistics, probability, and applied mathematics. Proficiency in Python (Pandas, NumPy, Scikit-learn). Experience with cloud platforms (AWS, Azure, or GCP) for data processing or model deployment. Familiarity with SQL and relational databases. Exposure More ❯

looking for: 1-2 years experience in Data Science(perfect for second-jobbers) First-class STEM degree from a prestigious university Strong Python skills (Pandas, NumPy, Scikit-Learn) Cloud computing experience (primarily Azure but they work with all major cloud providers depending on their clients needs). SQL knowledge and More ❯

looking for: 1-2 years experience in Data Science(perfect for second-jobbers) First-class STEM degree from a prestigious university Strong Python skills (Pandas, NumPy, Scikit-Learn) Cloud computing experience (primarily Azure but they work with all major cloud providers depending on their clients needs). SQL knowledge and More ❯

. Hands-on experience building or significantly overhauling a data system or centralised reporting platform. Proficiency in Python for data automation and transformation (e.g. pandas, NumPy). Strong working knowledge of SQL and relational databases (e.g. MySQL, PostgreSQL). Comfortable working with large datasets (CSV/Excel/API-based More ❯

simply, and work well in cross-functional teams Tech You'll Work With ML & Data Science Python (primary language) TensorFlow, PyTorch, or Keras NumPy, pandas Data pipelines (Azure Data Factory, Airflow, etc.) Applied ML: NLP, CV, transformers, GANs, time series, etc. Engineering & Cloud Azure (or similar cloud platforms like AWS More ❯

role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of More ❯

innovation and resource efficiency, contributing to the continuous development of their consulting offering and analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI More ❯

innovation and resource efficiency, contributing to the continuous development of their consulting offering and analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI More ❯

innovation and resource efficiency, contributing to the continuous development of their consulting offering and analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI More ❯

a data product company Experience building or maintaining third-party or in-house data quality and cataloguing solutions Experience with documentation of system architecture Pandas, Jupyter, Plotly DBT, Kafka BI tools such as Tableau, Metabase and Superset The current tech stack: Airflow Clickhouse DBT Python MongoDB PostgreSQL MariaDB Kafka K8s More ❯

FX markets - over the last 3-5 years - in an investment context. Fluent in Python 3.11+, the standard library, and external libraries like numpy, pandas, matplotlib, and scikit-learn. Confident in SQL Server or similar; experience with Azure and Docker is a positive. An understanding of machine learning processes and More ❯

such as recommendation engines or automated lead scoring systems. They should also be able to perform statistical analysis. Requirements Python for DS (the usuals pandas plotting etc) Modelling skills for both ML applications and data reporting SQL at least basics but by year 3 should be quite proficient with at More ❯

ideation to deployment. Be on-call for urgent AI model fixes or system failures. Qualifications Proficiency in Python and related libraries (e.g., NumPy, SciPy, pandas) is required. Strong production experience with at least one framework: LangChain, AutoGen, or CrewAI. Deep understanding of agentic systems, autonomous workflows, and LLM-based automation. More ❯

systems Professional software development experience with a track record of delivering high-quality, production-grade code Experience with scientific computing libraries such as NumPy, Pandas, or SciPy in production environments Holistic software development mindset covering testing, documentation, security, and performance Track record of mentoring other engineers and sharing knowledge across More ❯

skills and a good understanding of software engineering principles and clean code practices. Expert-level knowledge of Python for machine learning and data manipulation (pandas, NumPy). Advanced experience with SQL for data querying and manipulation. Experience with Git, Bash, Docker, and machine learning pipelines. Experience with open-source machine More ❯

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 More ❯

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 More ❯

blend of some of the following skills: Machine learning techniques - including supervised and unsupervised methods and model evaluation. Key libraries including scikit-learn, scipy, pandas, and numpy (or equivalents). Data preprocessing - working with large untidy datasets and the ability to clean and transform data in preparation for analysis or More ❯

A/B testing, entity extraction, and feature engineering. Proficiency in programming languages such as Python, R, and SQL, and data analysis libraries (e.g., Pandas, NumPy, SciPy, Tidyverse). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK). Experience with NLP techniques, such as More ❯