Arlington, Virginia, United States Hybrid / WFH Options
CGI
delivering AI/ML solutions, using techniques such as machine learning, deep learning, natural language processing, and computer vision Knowledge of ML Algorithms (Regression, Classification, Clustering) and Data Libraries (Pandas, NumPy) Experience with automated testing strategies and tools including Selenium, Cypress or Playwright Proficient in one or more programming languages, such as Python, R, Java, C# Familiarity working with cloud More ❯
Join to apply for the Systematic Quantitative Developer role at Engelhart 4 days ago Be among the first 25 applicants Join to apply for the Systematic Quantitative Developer role at Engelhart Get AI-powered advice on this job and more More ❯
functional teams to enhance testing practices across cloud-native microservices and data platforms. You'll develop scalable test automation frameworks with a focus on data validation using tools like Pandas, and lead strategies for testing data lakes. Collaborate closely with QA and Java/Spring Boot development teams to ensure data quality and reliability across our sports technology ecosystem. What … Your Day Will Look Like Build scalable and robust frameworks for validating complex data systems, pipelines, and APIs using tools like Pandas, Great Expectations, and Java modules. Collaborate with development teams to design and implement automated tests for microservices, emphasizing Spring Boot and Java-based architectures. Implement testing strategies for AWS data lakes (e.g., S3, Glue, Athena) with a focus … methodologies and train teams to independently implement and use the automation frameworks. Skills, Knowledge, and Expertise Expertise in validating complex datasets, creating synthetic test data, and leveraging tools like Pandas and Python for comprehensive data quality assurance. Proven ability to build and maintain scalable test automation frameworks, with a focus on backend, API, and data systems using tools like Pytest More ❯
functional teams to enhance testing practices across cloud-native microservices and data platforms. You'll develop scalable test automation frameworks with a focus on data validation using tools like Pandas, and lead strategies for testing data lakes. Collaborate closely with QA and Java/Spring Boot development teams to ensure data quality and reliability across our sports technology ecosystem. What … Your Day Will Look Like Build scalable and robust frameworks for validating complex data systems, pipelines, and APIs using tools like Pandas, Great Expectations, and Java modules. Collaborate with development teams to design and implement automated tests for microservices, emphasizing Spring Boot and Java-based architectures. Implement testing strategies for AWS data lakes (e.g., S3, Glue, Athena) with a focus … methodologies and train teams to independently implement and use the automation frameworks. Skills, Knowledge, and Expertise Expertise in validating complex datasets, creating synthetic test data, and leveraging tools like Pandas and Python for comprehensive data quality assurance. Proven ability to build and maintain scalable test automation frameworks, with a focus on backend, API, and data systems using tools like Pytest More ❯
risk mitigation strategies. Design, develop, and implement quantitative models to assess Value at Risk (VaR), portfolio sensitivities, and other market risk metrics. Utilize Python programming language and relevant libraries (Pandas, NumPy, SciPy) to manipulate, analyze, and visualize market data. Build and maintain data pipelines for efficient ingestion, transformation, and cleansing of financial data from various sources. Conduct back-testing and … or Master's degree in Computer Science, Mathematics, Finance, or a related field. Strong understanding of market risk principles and methodologies, including econometrics. Proficiency in Python and relevant libraries (Pandas, NumPy, SciPy). Solid understanding of time series analysis techniques and statistical modeling. Experience with building and maintaining data pipelines for financial data. Excellent communication and collaboration skills. Ability to More ❯
their team. Required: -Bachelor's Degree -Experience with Python, JavaScript, TypeScript, or SQL -Experience with ETL pipelines -Experience Git, SVN, or Mercurial Desired: -Experience with NumPy, scikit-learn, or Pandas -Experience with REST APIs (Python or Node.js) -Experience with writing SQL scripts for web applications The role is located in Springfield, VA and the work requires a TS/SCI More ❯
software application components independently based on requirements Experience leading discussions with customer stakeholders to align on requirements and technical implementations Required Skills: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills/Experience: Experience with Python More ❯
Reston, Virginia, United States Hybrid / WFH Options
CGI
Feature Branching/CICD Pipeline Basics, Version Control. Required qualifications to be successful in this role: 10+ years of Python (Pyspark/AWS SDK Libraries) development experience Experience in Pandas, Boto3, PySpark, PyTest Strong SQL development experience AWS services: Lambda, S3, Step Functions, Glue, EC2, ECS, CloudFormation, RDS, CloudWatch, Redshift, REST API, Docker Additional skills required are Git, Terraform, Jira … plan Paid time off for vacation, holidays, and sick time Paid parental leave Learning opportunities and tuition assistance Wellness and Well-being programs Skills: Confluence Detail-oriented GIT GIT Pandas Python Terraform What you can expect from us: Together, as owners, lets turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll More ❯
independently based on requirements Experience leading discussions with customer stakeholders to align on requirements and technical implementations 7+ years' demonstrated experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills/Experience: Experience with Python More ❯
practices Experience with interfacing with customer stakeholders to align on requirements and technical implementations Required Skills: Minimum 3-5 years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills/Experience: Experience with Python More ❯
Responsibilities: - AWS Data Science Tools: Hands-on with SageMaker, Lambda, Step Functions, S3, Athena. - OCR Development: Experience with Amazon Textract, Tesseract, and LLM-based OCR. - Python Expertise: Skilled in Pandas, NumPy, scikit-learn, PyTorch, Hugging Face Transformers; modular, testable code. - ML Models: Proficient in regression, classification, clustering, and time-series forecasting. - Business Insight: Translate business needs into data-driven solutions More ❯
of the art in machine learning algorithms for text analytics Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural More ❯
Understanding/experience analyzing US Treasury and/or European government bond markets preferred Strong proficiency in Python programming and data manipulation libraries and experience dealing with datasets (e.g., Pandas, NumPy, SciPy) Experience with Dash/Plotly or other visualization software highly desirable Experience with database programming languages (e.g. kdb, SQL) Strong knowledge of MS Excel (especially using real-time More ❯
pySpark and SQL for data mining; additional experience and knowledge of Big Data tools preferred. Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualisation and API libraries (matplotlib, plotly, streamlit, Flask, etc). Understanding of Gen AI models, Vector databases, Agents, and More ❯
pySpark and SQL for data mining; additional experience and knowledge of Big Data tools preferred. Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualisation and API libraries (matplotlib, plotly, streamlit, Flask, etc). Understanding of Gen AI models, Vector databases, Agents, and More ❯
stored procedures, and query optimization) • Proven experience with at least one major BI platform (prefer QuickSight) including dashboard creation and maintenance • Proficiency in Python, particularly with data analysis libraries (pandas, numpy, scikit-learn) • Experience automating data collection and reporting processes • Demonstrated ability to translate business requirements into technical solutions PREFERRED QUALIFICATIONS • Experience with cloud platforms (AWS) • Proficiency in statistical analysis More ❯
a transparent environment, engaging with the whole investment process Preferred Technical Skills Expert in Python and/or KDB/Q Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience Good understanding of using Slurm or similar parallel computing tools Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Oodle Car Finance
Processing team. Join a small, ambitious team working closely with Java and Data Science teams to build and support infrastructure for Credit Risk Management, using technologies like FastAPI, Pandera, Pandas, and Pydantic. The role involves collaboration, architecture development, code review, and supporting data science infrastructure. Remote work is possible with occasional office visits; based anywhere in the UK with the More ❯
Data Engineer, looking to work in a fast paced, high conviction ML environment who loves to dive into multiple challenges. The details Competencies Core Experienced engineering using Python and Pandas framework in cloud environments (e.g. AWS or GCP) 1-3 years of Data Engineering experience, ideally in a fast paced start up or scale up environment. Academic background in bioinformatics More ❯
iteratively deliver software Experience integrating Python code into Docker containers as part of a distributed architecture. Requirements: 1-3 years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills: Experience with Python ORM tools for More ❯
released. Key Responsibilities: • Be the point of contact to our client representing Grey Matters Defense Solutions with their software releases About you: • 3+ years experience using Python SciPy NumPy Pandas Boto3 • 3+ years experience using AWS C2S Integration S3 SQS SNS AWS CLI • 3+ years experience using Linux Bash RHEL Derivatives • Integration ICD Documents and Updates Working with groups to More ❯
etc.) Experience with molecular property prediction and multi-objective optimization using machine learning and/or deep learning methods Experienced with common python toolkits for scientific computing (e.g., numpy, pandas, scipy), machine learning (e.g., scikit-learn, pytorch), and cheminformatics/bioinformatics (e.g., rdkit, openeye, biotite, biopython) Familiarity running simulations and training models on high-performance computing (GPU) environments for corporate More ❯
independently based on requirements Experience leading discussions with customer stakeholders to align on requirements and technical implementations Requirements: 7+ years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills: Experience with Python ORM tools for More ❯
Skills: Proven experience as a Machine Learning Engineer or similar role. Strong knowledge of machine learning algorithms, statistics, and predictive modeling Proficiency with Python and machine learning toolkits like pandas, scikit-learn, and optionally pytorch/tensorflow. Experience with machine learning operations (MLOps) and productionization of ML models. Familiarity with building data and metric generation pipelines, using tools like SQL More ❯
