estimation, phasing delivery, innovative and inventive in devising quality solutions. Ability to communicate complex ideas, requirements, and solutions clearly, articulately, and effectively using the most appropriate tools and methods. Validation of the solution and ability to persevere or pivot approach. Support others in interpreting and implementing solutions Experience working with enterprise software, particularly in the fintech, accounting, or financial services More ❯
Manage a team of Technology Internal Audit professionals, recruit staff, lead professional development, build effective teams and manage a budget Deliver Technology audit reports, Internal Audit and Regulatory issue validation and business monitoring and governance committee reports Lead Technology reviews for all types of reviews, including the most complex, and review and approve Business Monitoring Quarterly Summaries Participate in major More ❯
queries and providing process-level training. Required Skills: • Ability to use Microsoft Excel tool as per role requirements (filtering and sorting in data sets, cell referencing, pivot tables, data validation, etc.) • Basic understanding of SQL, can self-service defined queries and make simple changes to retrieve data from a database • Knowledgeable in Customer Relationship Management tools, managing customer data and More ❯
Data Visualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g., Spark, Hadoop - conceptual understanding) Database Querying (e.g., SQL) Cloud-based Data Platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML) Ethics in Data Science and AI More ❯
to ensure reliable ingestion and transformation of game telemetry, event data, and third-party signals (e.g., marketing APIs). Ensure data integrity, completeness, and consistency via automated monitoring and validation tooling. Optimize and extend our cloud data warehouse (Google BigQuery) for performance and cost. Develop ETL/ELT jobs and data models to enable fast analytics and experimentation. Partner with More ❯
periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready. - Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. - Monitor and troubleshoot operational or data issues in the data pipelines. - Review and audit existing ETL jobs and SQL queries. - Good communication and writing. Effectively communicates with both More ❯
connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas) Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and contribute to business-wide metadata catalogues Collaborate with BI, Change, and Product teams to align data outputs to needs Support groundwork for More ❯
ML initiatives, ensuring alignment with business priorities and LCCC's digital strategy. Drive delivery across cross-functional technical teams to support incremental launches and continuous improvement. Lead discovery and validation of opportunities in collaboration with users and subject matter experts, quantifying expected impact. Manage stakeholder engagement and communication across the full solution lifecycle. Facilitate knowledge sharing and reduce duplication across More ❯
skills with proficiency in all basic Microsoft packages. Analytical skills with the ability to interpret data sets. Advanced Microsoft Excel skills, including data analysis, reports, logical functions, lookups, data validation, and pivot tables. Excellent communication skills, capable of engaging with clients independently and producing reports using PowerPoint and Word. Effective problem-solving skills. Adaptability and resilience. Strong teamwork skills. Willingness More ❯
and Salesforce declarative tools. Configure and optimize Vlocity CPQ , product catalog , and order management for industry-specific solutions. Customization and Configuration: Configure Salesforce Core functionalities, including custom objects, workflows, validation rules, flows, and process automation. Leverage Salesforce declarative tools to create efficient, scalable solutions that align with business needs. Customize and integrate Vlocity features to support industry-specific workflows, including More ❯
and Salesforce declarative tools. Configure and optimize Vlocity CPQ , product catalog , and order management for industry-specific solutions. Customization and Configuration: Configure Salesforce Core functionalities, including custom objects, workflows, validation rules, flows, and process automation. Leverage Salesforce declarative tools to create efficient, scalable solutions that align with business needs. Customize and integrate Vlocity features to support industry-specific workflows, including More ❯
Platform development , helping us to scale and maintain production-ready ML workflows using modern cloud infrastructure and tools. What You'll Do Develop and maintain ML pipelines for training, validation, deployment, and monitoring of models. Support scalable ML solutions across use cases like recommendations, forecasting, and automation. Work with tools like Airflow, Azure ML, and FastAPI to deliver production-ready More ❯
technologies Work with a variety of data sources-structured, semi-structured, unstructured-to support diverse analytics and operational workloads Ensure data quality and consistency by incorporating automated testing, data validation, and monitoring mechanisms Drive best practices around data engineering, including testing, observability, security, and documentation Troubleshoot and resolve issues in production environments to ensure data integrity and platform reliability What More ❯
Senior Customer Success Manager Department: Customer Operations Employment Type: Full Time Location: London Description Encompass enables fast, accurate identity validation and verification of corporate customers, and a gold standard approach to KYC. Our award-winning corporate digital identity (CDI) platform incorporates real-time data and documents from authoritative global public data sources and private customer information, to create and maintain More ❯
tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world driving situations. The data ecosystem developed by the Data Infrastructure team is a key building block for developing and testing modern More ❯
provide you with a structured programme, continuous mentorship, training and hands-on assignments to propel your understanding of data's impact in the business landscape. Manage the administration, pre-validation, POE & Invoice submission, and ongoing compliance of all inbound Marketing PO claims. Manage direct relationships with partners and engaging in regular meetings to guide, train and reconcile on Open POs. More ❯
developing and implementing complex statistical models used for marketing targeting, credit underwriting, fraud prevention, collections, recoveries and customer experience You will ensure decision models are very reliable, through thorough validation and testing. You will champion best practices in model building and help shape quality standards. You will monitor model performance, identify issues and implement fixes You will research new data More ❯
and control expenditure thereof. To attend meetings as required. To prepare reports that include technical content and progress/key issue detail. To develop project specific commissioning management/validation documents and procedures. To comment technically on drawings, manuals and technical submittals. To develop project specific method statements, test scripts and the like. To be aware and report internally on More ❯
particularly where platform expertise is required. Execute data ingestion, extraction and transformation activities Partner with the Finance team to reconcile billing and revenue data: Support month-end processes, including validation and audit of subscription and revenue data. Contribute to the design and execution of pricing and billing workflows to align with business strategy. Support onboarding and enablement of teams onto More ❯
Product and Market Discovery Lead user research efforts, engaging directly with legal professionals and clients to understand their pain points and uncover opportunities for innovation. Conduct regular testing and validation of solutions through rapid prototyping and feedback loops, ensuring solutions truly meet user needs. Stay ahead of legal tech trends and competitive offerings, identifying potential opportunities for differentiation and continuous More ❯
Product and Market Discovery Lead user research efforts, engaging directly with legal professionals and clients to understand their pain points and uncover opportunities for innovation. Conduct regular testing and validation of solutions through rapid prototyping and feedback loops, ensuring solutions truly meet user needs. Stay ahead of legal tech trends and competitive offerings, identifying potential opportunities for differentiation and continuous More ❯
mediation as well as great client facing skills. Precious experience of European or EMEA projects is a distinct advantage, My client does not do hands on commissioning, just the validation and verification. Primary Objective The primary objectives of our Director Data Centre Commissioning is to support the Managing Principal to drive the delivery of the financial targets, efficiently following the More ❯
CI/CD processes and tools. Have previously worked with MLOps tools like MLFlow and Airflow, or on common problems such as model and API monitoring, data drift and validation, autoscaling, access permissions Have previously worked with monitoring tools such as New Relic or Grafana Understand the use of feature stores and related data technologies for operational machine learning products More ❯
execute cyber response playbooks and incident handling procedures. Experience responding to Level 1 and Level 2 cybersecurity incidents and coordinating escalation processes. Solid background in vulnerability management, patch management validation, and compliance assurance. Strong familiarity with key security domains such as Email Security, Identity and Access Management, Network and Application Security, Cloud Security, DDoS & Bot protection, and Endpoint Security. Without More ❯
CI/CD processes and tools. Have previously worked with MLOps tools like MLFlow and Airflow, or on common problems such as model and API monitoring, data drift and validation, autoscaling, access permissions... Have previously worked with monitoring tools such as New Relic or Grafana Understand the use of feature stores and related data technologies for operational machine learning products More ❯
