as for recommendations, segmentation, price/promo optimisation, forecasting, propensity modelling, predictive/prescriptive campaign performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker more »
wider Digital Experience Unit. Principal accountabilities Experience of full stack development across multiple technology stacks, including different frameworks (Drupal, Node, etc...), languages (Java, PHP, Python, etc...) and databases. To oversee the use of development tools such as: AWS, Azure, Docker, Kubernetes, Ansible, Puppet, Jenkins, Git, etc. To implement robust security more »
building, managing and maintaining AWS platform and also manage/provide guidance to other team members. Requirements - Experience in software development - Proficient in Java, Python or other languages - Vast experience with AWS services e.g: Lambda, API Gateway, S3, SQS, SNS etc - Strong understanding of cloud infrastructure principles and Terraform for more »
Ansible 3+ years of experience with Apache Kafka and confluent platform In-Depth knowledge of Kafka Architecture. Hands on Experience with Unix Shell scripting, Python, Docker, Jenkins, Kerberos, SSL/TLS. Active Directory Experience with Packer, Harness, Grafana Prometheus, PCI compliance knowledge is a plus. Experience with Redhat Linux is more »
the implementation of statistical modelling in a real-world environment oExperience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx, Jupyter notebook, R Markdown, TensorFlow, Keras, Pytorch, Apache Spark etc. oPractical proficiency in producing more »
Cloud Testing, Data Analytics, SQL, COTS (Commercial Off-the-Shelf) products, and Product Testing. Hands-on experience with scripting and programming languages such as Python, Java, SQL. Must offer a solid background in banking and financial experience, COTS products, and Data Modernization/transformation programs. Designing and implementing testing strategies more »
learning for engineering practices, such as meta driven intelligent ETL and pipeline processes. oStrong skills in relevant programming languages, frameworks, and platforms including, SQL, Python, R, etc. oA strong track record of achievement in data engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in more »
Kafka Kubernetes SQL CI/CD experience with relevant tooling with Jenkins, Docker or Terraform Cloud services experience, ideally with AWS Bonus: Payments experience Python experience For more information on this role or any other contract/permanent opportunities we are working on please email your CV to me on more »
innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Must have * Programming languages (ie perl/python) * Github, linux, editors, tools * REST & SQL programming, DB schema design * Ansible playbooks and object writing * Terraform and others * VMWare programmatic control Nice to have * AWS more »
London (city), London, England Hybrid / WFH Options
T Rowe Price
eager learners and problem solvers. The ideal candidate will have: A solid foundation in data engineering, with 3+ years of professional experience. Proficiency in Python, Java 11+ or similar, with 6+ years of professional experience. A good understanding of modern lakehouse architectures and corresponding technologies, such as Dremio, Snowflake, Iceberg more »
TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming and development of applications in Python (e.g. FastAPI) Demonstrable experience with containers (Docker). Kubernetes experience is desirable, but not required Experience deploying Generative AI applications is desirable (e.g. RAG systems more »
TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming and development of applications in Python (e.g. FastAPI) Demonstrable experience with containers (Docker). Kubernetes experience is desirable, but not required Experience deploying Generative AI applications is desirable (e.g. RAG systems more »
Experience on working on decisioning systems for UK mortgages Strong coding knowledge and experience working with analytical tools such as SQL, SAS, R or Python) Knowledge of the consumer credit sectors and products, ideally residential and Buy to Let mortgages with a core background in risk and/or analytics more »
London (city), London, England Hybrid / WFH Options
T Rowe Price
eager learners and problem solvers. The ideal candidate will have: A solid foundation in data engineering, with 3+ years of professional experience. Proficiency in Python, Java 11+ or similar, with 6+ years of professional experience. A good understanding of modern lakehouse architectures and corresponding technologies, such as Dremio, Snowflake, Iceberg more »
and Power Operations Experience working with functionalities of EOD batch/risk reports or trade life cycle Experience in at least one scripting ( PowerShell, python ) and database (ORACLE, MS SQL, MongoDB, Postgres or Snowflake ) language CI/CD deployment pipeline involving Azure DevOps, Team City, Git, Jenkins etc. more »
then please let reach out to me! Experience needed for this position (Please read carefully) Senior Data Scientist with over 5+ years of experience Python experience SQL experience AWS experience Machine Learning experience Predictive Modelling Clear and concise communication skills Senior Data Scientist Duration: 3-months Start: ASAP Day Rate more »
features and benefits to partners, customers, and other stakeholders Required Skillset: Technical expertise in the following C, C++, Java, J2EE, Springboot, AWS, Terraform, DevOps, Python Leadership skills Business acumen - Airline domain knowledge is preferred Stakeholder management Analytical skills Excellent verbal and written communication skills If you have the aforementioned skillset more »
IaaS and corresponding automation toolkits. Desirable Skills: Experience working in a production support environment Experience in PowerShell or a willingness to learn. Experience in Python or a willingness to learn. Experience with Specflow or Cucumber. Apply now for immediate consideration more »
up/managing user/group mapping to Roles and integration with Experience builder. Nice to have *Working with various scripting/coding tools (Python/Powershell, ksh etc) to manipulate spatial files. *Familiarity with working in AWS and with using Azure DevOps. *SAFE - FME Flow *Advise on IaaS configuration more »
GCP services i.e., DataProc Cloud Storage, Compute Engine, App Engine, Kubernetes Engine, Cloud Composer, Big Query, etc. Strong programming skills in languages such as Python, Java, or Go, and familiarity with cloud-native languages. Understanding of cloud architecture principles, microservices architecture, and distributed systems. Experience with DevOps practices, automation tools more »
service delivery within a public service environment. Working knowledge of statistical software packages (e.g. Alteryx, PowerBI) and underlying program language tools such as R, Python and SQL. Expertise concerning the underlying principles and techniques of data analytics within the context of counter fraud, for example rule-based analytics, machine learning more »
Experience on working on decisioning systems for UK mortgages Strong coding knowledge and experience working with analytical tools such as SQL, SAS, R or Python) Knowledge of the consumer credit sectors and products, ideally residential and Buy to Let mortgages with a core background in risk and/or analytics more »
Essential Significant relevant experience of hands on SQL queries, stored procedures and OLAP structures in an enterprise database environment Experience of scripting language (e.g. Python, Perl, Powershell) Demonstratable experience of data mining toolsets and software Relevant practical experience of Enterprise search applications (A and I) Experience of data integration in more »
the following skills and experience: * Strong experience utilising the Microsoft Azure stack for data engineering ie Azure Functions * Core skills in coding with SQL, Python and Spark * Proven experience using Databricks ie lakehouse, delta live tables, Pyspark etc more »
