data pipeline tooling, working closely with developers. What You Bring: Proven experience with large spreadsheets/databases (Excel, MySQL). Proficiency in Python (NumPy, pandas, SciPy). Comfort with Linux and command line tools. Meticulous attention to detail and strong interpersonal and communication skills. Bonus Points For: Knowledge of machine more »
engineering and scientific Python toolset. Our tech stack includes Airbyte for data ingestion, Prefect for pipeline orchestration, AWS Glue for managed ETL, along with Pandas and PySpark for pipeline logic implementation. We utilize Delta Lake and PostgreSQL for data storage, emphasizing the importance of data integrity and version control in … Proficiency in Python and familiarity with modern software engineering practices, including 12factor, CI/CD, and Agile methodologies. Deep understanding of Spark (PySpark), Python (Pandas), orchestration software (e.g. Airflow, Prefect) and databases, data lakes and data warehouses. Experience with cloud technologies, particularly AWS Cloud services, with a particular focus on more »
Architecting and implementing high-performance Python-based solutions to support our multi-strategy trading platform, leveraging cutting-edge libraries and frameworks such as NumPy, pandas, TensorFlow, and PyTorch. Collaborating closely with quantitative analysts and traders to develop and deploy sophisticated algorithmic trading strategies, utilizing advanced mathematical models and machine learning more »
Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), Machine Learning, Research, Marketing £70,000-£90,000 salary ***Please note this role does not offer sponsorship, and you must be based in London to apply*** An exciting AI content platform are in … deep learning , NLP , and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL , Python ( Pandas , Scikit - Learn , PyTorch ) PhD -level education and experience within Marketing is preferred. Experience in an academic/research background. If you think this opportunity could … please apply below and I'll be in touch! Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), Machine Learning, Research, Marketing £70,000-£90,000 salary more »
degree in Computer Science, Mathematics, Statistics, Business Administration, or related field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity with machine learning algorithms and techniques, with a deep understanding of their underlying principles. Strong problem-solving skills and more »
birmingham, midlands, United Kingdom Hybrid / WFH Options
Lorien
experience of this is a strong preference. However other Cloud platforms like AWS/GCP are acceptable. • Coding Languages - Experience using Python with data (Pandas, PySpark) would be an advantage. Other languages such as C# would be beneficial but not essential. Their lovely offices are based in the West Midlands more »
Utilize existing and new datasets to develop significant insights and decision support tools for investment teams. Required Skills: Advanced knowledge and experience with Python (Pandas, NumPy + more) and SQL Strong background in advanced analytics and statistical modelling Strong analytical and quantitative skills Experience working with large, unstructured data sets more »
Apache Airflow Skills years of experience in python scripting. in developing applications in Python language. to python-oriented Algorithm’s libraries such as NumPy, pandas, beautiful soup, Selenium, pdfplumber, Requests etc. in SQL programming, Postgres SQL. knowledge on unit testing using PyTest on DevOps like CI/CD, Jenkins, Git. more »
Nottingham, Nottinghamshire, East Midlands, United Kingdom
Experian Ltd
Lambda, Redshift, DynamoDB, Glue and SageMaker Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation) Data processing frameworks such as pandas, Spark and PySpark Machine learning concepts like model training, model registry, model deployment and monitoring Development and CI/CD tools (we use GitHub, CodePipeline more »
a substantial public sector implementation of IT solutions and systems, facilitating the development of tailored software. Tech Stack: Python Java JavaScript React (Desirable) Docker Pandas Flask Tkinter Go Gradle SQL Linux Bash Shell Scripting go gin This is a very brief outline of the role, and a full job description more »
algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial markets, trading instruments, and market microstructure. more »
Architecting and implementing high-performance Python-based solutions to support our multi-strategy trading platform, leveraging cutting-edge libraries and frameworks such as NumPy, pandas, TensorFlow, and PyTorch. Collaborating closely with quantitative analysts and traders to develop and deploy sophisticated algorithmic trading strategies, utilizing advanced mathematical models and machine learning more »
including data integration, modelling, optimisation and data quality Exceptional understanding of Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience more »
where appropriate and ensuring best practices and understood and followed. Technical Skills and Qualifications Expert knowledge in python including libraries/frameworks such as pandas, numpy, pyspark Good understanding of OOP, software design patterns, and SOLID principles Good experience in Docker Good experience in Linux Good experience in Airflow Good more »
london, south east england, United Kingdom Hybrid / WFH Options
Janus Henderson Investors
where appropriate and ensuring best practices and understood and followed. Technical Skills and Qualifications Expert knowledge in python including libraries/frameworks such as pandas, numpy, pyspark Good understanding of OOP, software design patterns, and SOLID principles Good experience in Docker Good experience in Linux Good experience in Airflow Good 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 »
with the following experience: Experience building enterprise systems in Python with a high level of Python fluency (mandatory) Core Python (mandatory) (mandatory) SQL (mandatory) Pandas, NumPy, SciPy etc (preferred) Cloud experience (preferred) TDD (mandatory) Experience writing clean, maintainable code (mandatory) Front office experience (preferred) This is an initial 12 month more »
with the following experience: Experience building enterprise systems in Python with a high level of Python fluency (mandatory) Core Python (mandatory) (mandatory) SQL (mandatory) Pandas, NumPy, SciPy etc (preferred) Cloud experience (preferred) TDD (mandatory) Experience writing clean, maintainable code (mandatory) Front office experience (preferred) This is an initial 12 month more »
Apache Airflow Skills years of experience in python scripting. in developing applications in Python language. to python-oriented Algorithm’s libraries such as NumPy, pandas, beautiful soup, Selenium, pdfplumber, Requests etc. in SQL programming, Postgres SQL. knowledge on unit testing using PyTest on DevOps like CI/CD, Jenkins, Git. more »
position Bachelor's or Master's degree in Computer Science, Mathematics, or a related field Strong proficiency in Python and data science stack e.g. Pandas/Numpy/Scikit-learn Experience with data analysis and statistical modeling is a plus Excellent problem-solving skills and ability to work effectively under more »
to help shape the team going forward. What they are looking for: 3+ years of experience in Python, will consider C++. Ideally experience with Pandas and Numpy. Financial experience is preferred but not necessary. A strong Comp. Sci (or related degree) from a top university. Salary depends on experience. more »
to help shape the team going forward. What they are looking for: 3+ years of experience in Python, will consider C++. Ideally experience with Pandas and Numpy. Financial experience is preferred but not necessary. A strong Comp. Sci (or related degree) from a top university. Salary depends on experience. more »
