foundational models. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud-based computing platforms. Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java). First author in research publications in peer-reviewed conferences or journals. Experience designing and leading complex research projects from ideation to More ❯
data in a clear and compelling manner to non-technical audiences. Experience with financial services or consumer lending data would be advantageous. Familiarity with Python or R for data analysis is a plus but not essential. Highly organised, with strong attention to detail and a proactive problem-solving mindset. Benefits More ❯
Masters degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related field - Experience with at least one statistical programming language such as Python working with test/control methodology, time-series forecast, and/or machine learning techniques. - Knowledge of how to improve code quality and optimizes BI More ❯
model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine More ❯
RDS MySQL, RedShift Familiarity with any of the following logging, monitoring and alerting tools - CloudWatch, Splunk, StatusCake, Grafana, PagerDuty Scripting experience with PowerShell, Ruby, Python Experience working with Agile software development teams What's in it for you? Join an ever-growing, market disrupting, global company where the teams - comprised More ❯
and ongoing maintenance. Interact with other teams, treating them as internal customers, understanding their goals, and helping to achieve them. Develop tooling primarily using Python/Django & Node.js in the backend with React/VueJS in the front end; experience in any other modern languages and frameworks is acceptable. Proficient More ❯
across a range of operating systems such as Windows/Linux OS/iOS/Android. Work with existing codebases (C/C++/Python) to add new functionality to, maintain and improve our codec implementations. Integrate with third party commercial and open-source codebases. Create clear, concise, verifiable technical More ❯
gather requirements, designing the solution with the team, and building and delivering completed functionality to production. Delivering new data products in C++. Migration of Python data products into C++ to drastically improve performance. Helping to drive improvements in all areas, including the parsing framework, data quality, testing and CI. Understanding More ❯
analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools More ❯
on experience in designing greenfield, scalable data platforms in cloud using Azure D&A stack, Databricks and Azure Open AI solution. Proficiency in coding (Python, PL/SQL, Shell Script) relational and non-relational databases, ETL tooling (such as Informatica), scalable data platforms. Proficiency in Azure Data and Analytics stack More ❯
rapidly developing tools and platforms to evaluate, iterate, and productionalize models, ensuring their reliability and accuracy. Responsibilities: Must have at least 4 years of Python experience. Must have at least 4+ years working experience. Develop software that provides visibility into LLM models and offers configurability for tuning and evaluation. Take More ❯
in a senior or managerial role. Solid experience on multiple test frameworks and tools - Selenium, Cucumber, t-SQLT, JUnit, TestNG and scripting languages (e.g., Python, JavaScript). Proven experience with applications that have significant dependencies on stored procedures and complex back-end systems. Strong experience of development and automating applications More ❯
a database or data warehouse and building ETL pipelines 2. Visualization tools experience: Quicksight/Tableau or similar tools 3. Scripting Experience: R/Python/C++ 4. (Optional) Experience with AWS solutions (S3, Athena, Sagemaker) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce More ❯
in Pentaho BA for data integration, workflows and ETL processes Proficiency in Power BI for creating insightful visualisations and reports Solid programming skills in Python and Java, with a focus on data engineering and system integration Experience of working in an agile software development environment Experience estimating task effort and More ❯
Machine Learning/Quant, including in the Financial Services sector. Hands on project lifecycle experience, from business requirements gathering to productization. Coding experience in Python to write robust, reusable code; experience with version control (preferably GitHub); experience with writing test cases for data science pipelines. Experience working with databases and More ❯
of technical concepts. Proven experience working with data in an agile and dynamic team, with experience working with relational databases and writing SQL and Python or similar. Power BI (semantic data modelling and DAX skills). Experience in Data Lake technologies (DataBricks) and/or Dataiku. Experience with Data Science More ❯
range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch; Experience with software engineering best practices and developing applications in Python; Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure); Demonstrable More ❯
and provide clear remediation guidance. Experience with software development methodologies e.g. Agile, DevOps etc. Fluent in at least one major programming language (e.g. Java, Python, Go etc.) Working knowledge of CI/CD platforms e.g. Gitlab, AWS Code Commit and Deploy (or similar). Intermediate Knowledge of DevSecOps solutions i.e. More ❯
RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical More ❯
RDS, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred Experience with automation and scripting (e.g., Terraform, Python) Knowledge of security and compliance standards (e.g., HIPAA, GDPR) Strong communication skills with the ability to explain technical concepts to both technical and non-technical More ❯
role: Master's in a quantitative field such as Behavioural Science. Skills and Knowledge Analysis of structure, semi-structured and unstructured data. Programming - SQL, Python, R. AI/ML ethics. Understanding of Data Governance concepts and best practice. Quick understanding of business problems and requirements. A willingness to learn new More ❯
in cloud platforms, such as AWS and GCP, with hands-on experience in services like Databricks, Redshift, BigQuery, and Snowflake, is highly valued. Advanced Python skills for data manipulation, automation, and scripting, using libraries like Pandas and NumPy, are necessary for effective data engineering. Expertise in managing and optimising data More ❯
practices: code standards, code review, version control, CI/CD, testing, documentation, Agile, with the ability to mentor others in these practices 10+ Advanced Python programming skills PhD a related field (computer science, math, machine learning) Preferred Qualifications: Peer reviewed publications in major AI conferences Experience with large language models More ❯
in value-based selling methodologies (e.g., MEDDICC, Force Management, Demo2Win) Proficient with BI platforms such as Tableau, Looker, or Power BI Strong SQL and Python skills for data modelling, integration, and automation Hands-on experience with APIs and tools like Postman Familiarity with AI technologies including LLMs, AI agents, and More ❯
in value-based selling methodologies (e.g., MEDDICC, Force Management, Demo2Win) Proficient with BI platforms such as Tableau, Looker, or Power BI Strong SQL and Python skills for data modelling, integration, and automation Hands-on experience with APIs and tools like Postman Familiarity with AI technologies including LLMs, AI agents, and More ❯
