and diverse projects. Requirements Experience leading on data science projects Experience working on cloud-based infrastructure e.g. Azure, AWS, GCP Extensive coding skills in languages such as Python and SQL Experience working with various forms of data (e.g. structured, unstructured; text, time-series and image) and appropriately modelling these Experience with various statistical-based techniques to uncover data insight Some More ❯
s degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python or R, is a plus. Development experience with BI platforms such More ❯
s degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python or R, is a plus. Development experience with BI platforms such More ❯
knowledge of industry leading practices Must be willing to learn and demonstrate high self-motivation Must be detail-oriented and organized Must have a strong technical aptitude Knowledge of SQL is a plus Must have excellent written and verbal communication skills More ❯
knowledge of industry leading practices Must be willing to learn and demonstrate high self-motivation Must be detail-oriented and organized Must have a strong technical aptitude Knowledge of SQL is a plus Must have excellent written and verbal communication skills More ❯
operations, or financial planning and analysis Experience working as a part of a global team and working across multiple stakeholder groups Strong experience in a querying language such as SQL Experience in a visualization or dashboarding tool is beneficial (e.g. Tableau, Streamlit, Looker, or Mode) Excellent communication skills to summarize insights and recommendations to audiences of varying levels of technical More ❯
PDM or PLM system or BIM Familiar with Microsoft Azure and/or AWS services Familiar with software development processes, source code management and testing Familiar with relational, No-SQL and Graph Databases Certifications such as TOGAF, ArchiMate, ITIL, AWS solution architect, Azure solution architect are a plus Learn More About Autodesk Welcome to Autodesk! Amazing things are created every More ❯
in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations More ❯
in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations More ❯
for product enhancements Experience managing and supporting sell-side accounts, brokers or central banks We'd love to see: Knowledge of FIX Connectivity and the following programming languages: Python, SQL and VBA Experience in data analytics tools; business intelligence tools or similar Interest in or experience of using data analytical tools to find opportunities for product and content improvements Prior More ❯
About the Role: Grade Level (for internal use): 10 The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative More ❯
shopping. Additionally: 3+ years in data science or analytics roles Experience at a fast-paced startup. Proven ability to work independently and drive 0 1 analytics initiatives. Fluency with SQL and a scripting language (Python or R). Comfortable owning both data pipelines and business logic-you care about clean joins and smart questions. Excellent communicator-whether with dashboards, written More ❯
experience in an Analytics role Relevant Master's degree in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R. Proven experience with Web Analytics tools and Tagging (Experience with Adobe More ❯
Experience with MLOps practices and tools, and monitoring machine learning systems in production Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD Proficiency with SQL and NoSQL databases Worked with Kubernetes and infrastructure as code (IaC) tools such as Terraform Experience with Large Language Models (LLMs) and a keen interest in staying current with the More ❯
testing and analytics to deliver a best-in-class product development cycle. Qualifications Experience working in a product analytics position ideally within an ecommerce/retail business. Proficiency with SQL (required) and R/Python (nice to have). Experience utilising GA4/Big Query to extract user journey insight, and Optimizely (or alternative A/B testing tool). More ❯
e.g., scikit-learn, PyTorch, TensorFlow) and present complex data visually using Matplotlib, seaborn, or Streamlit. Fluent in Python, with experience working with data processing libraries such as Pandas. Strong SQL skills, a good understanding of Linux, parallel computing tools, and experience with Git, Jira, and Confluence. A demonstrated interest in sustainability, systematic investing and a willingness to undertake self-study More ❯
have some professional experience in a BI, data, or analytical role - or can show strong analytical thinking from another context (internships, projects, academics). You are comfortable working with SQL to query data and are familiar with BI tools like Looker, Tableau, or Power BI. You enjoy finding patterns in data and telling stories with numbers. You're organised, curious More ❯
have some professional experience in a BI, data, or analytical role - or can show strong analytical thinking from another context (internships, projects, academics). You are comfortable working with SQL to query data and are familiar with BI tools like Looker, Tableau, or Power BI. You enjoy finding patterns in data and telling stories with numbers. You're organised, curious More ❯
as an Analytics Engineer or in a similar role You will have proven experience in designing and maintaining data models for warehousing and business intelligence You will have advanced SQL skills; experience with dbt and/or Looker is strongly preferred You will be proficient with modern data platforms (e.g., Snowflake, dbt, AWS, GCP, Looker, Tableau, Airflow) You will have More ❯
as an Analytics Engineer or in a similar role You will have proven experience in designing and maintaining data models for warehousing and business intelligence You will have advanced SQL skills; experience with dbt and/or Looker is strongly preferred You will be proficient with modern data platforms (e.g., Snowflake, dbt, AWS, GCP, Looker, Tableau, Airflow) You will have More ❯
Oversee the collection, storage, management, quality, and protection of data. Extensive experience wrangling raw datasets into published data for analytic use cases: MI, BI or data science. Skilled in SQL and proficient in building data pipelines Experience in collaborating with stakeholders and establishing consensus over prioritisation and implementation Able to define and communicate technical architectures and data models to both More ❯
Intelligence, AppSec Vulnerability Management, Vulnerability Management of cloud native workloads, External Attack Surface Management Familiar with with TypeScript/Vue.js Open source scanning tool such as Trivy or similar SQL database design and optimisation Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as More ❯
a highly skilled Senior Fraud Analytics Consultant to join their fraud analytics function working closely with clients developing fraud strategies and providing insights on fraud performance using tools like SQL, Python, and Power BI. Responsibilities: As a Senior Fraud Analytics Consultant, you will be responsible for: Crafting and implementing effective fraud strategies to mitigate risks and protect different clients and … customers Utilizing SQL, Python, and Power BI to analyze data, identify fraud patterns, and develop predictive models. Managing and mitigating various types of fraud, including scams, APP fraud, and third-party fraud. Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration. Leveraging your experience in the UK banking sector to align strategies with regulatory requirements and … industry best practices. Key Requirements: Extensive experience in developing comprehensive fraud strategies. Proficiency in SQL, Python, and Power BI. In-depth knowledge of scams, Authorized Push Payment (APP) fraud, and third-party fraud. Experience working with multiple vendors. Salary: Up to £65,000 Per Year + Strong Benefits Package More ❯
strategies, and performance optimization. Ensure minimal disruption to business operations during migration activities. Cloud Database Administration: Manage, monitor, and maintain databases within the cloud environment. Update legacy versions of SQL databases, ensuring compatibility with modern technologies and standards. Administer and manage Windows-based SQL environments across development, test, UAT, and production environments using SQL Standard and Enterprise editions. Create and … architecture and deployment. Conduct training sessions and document processes to ensure knowledge transfer across the organization. Essential Skills & Experience: Proven expertise in cloud database administration and architecture (e.g., Azure SQL, PostgreSQL, etc.). Strong understanding of HA solutions and disaster recovery strategies. Experience in managing Windows-based SQL environments across development, test, UAT, and production stages. Hands-on experience with … Infrastructure-as-Code tools (Terraform, Azure DevOps, GitHub Actions). Proficiency in database migration techniques and tools, including updating legacy SQL versions. Solid understanding of CI/CD pipelines, automation, and DevOps practices. Excellent problem-solving, communication, and team collaboration skills. Desirable Qualifications: Certifications in cloud technologies (e.g., Microsoft Azure Database Administrator, Cloud Solutions Architect). Experience with large-scale More ❯
strategies, and performance optimization. Ensure minimal disruption to business operations during migration activities. Cloud Database Administration: Manage, monitor, and maintain databases within the cloud environment. Update legacy versions of SQL databases, ensuring compatibility with modern technologies and standards. Administer and manage Windows-based SQL environments across development, test, UAT, and production environments using SQL Standard and Enterprise editions. Create and … architecture and deployment. Conduct training sessions and document processes to ensure knowledge transfer across the organization. Essential Skills & Experience: Proven expertise in cloud database administration and architecture (e.g., Azure SQL, PostgreSQL, etc.). Strong understanding of HA solutions and disaster recovery strategies. Experience in managing Windows-based SQL environments across development, test, UAT, and production stages. Hands-on experience with … Infrastructure-as-Code tools (Terraform, Azure DevOps, GitHub Actions). Proficiency in database migration techniques and tools, including updating legacy SQL versions. Solid understanding of CI/CD pipelines, automation, and DevOps practices. Excellent problem-solving, communication, and team collaboration skills. Desirable Qualifications: Certifications in cloud technologies (e.g., Microsoft Azure Database Administrator, Cloud Solutions Architect). Experience with large-scale More ❯
