West London, London, United Kingdom Hybrid / WFH Options
MSI REPRODUCTIVE CHOICES
Develop, motivate, and mentor a cross-functional team of product owners. Lead user research and leverage health industry trends and emerging technologies. Use data analytics to monitor performance and derive actionable insights. Provide clear reporting on product progress and outcomes to key stakeholders. Work with stakeholders to understand strategies and More ❯
aggregating data from multiple sources and compiling it into a digestible and actionable format. - Partnering with other analysts and BI engineers in planning and analytics to build analytical solutions to deliver on business goals. - Develop processes and systems to achieve metrics, often requiring scrappy solutions to temporarily overcome technical limitations. More ❯
closing deals across tech consulting and application development services, cloud & data migration and modernization, public cloud managed services and/or applied AI & Data Analytics based services. Working towards the overall BU goal set annually Critical thinking, decisiveness and ability to work well in demanding & ambiguous client environments. Love for More ❯
monetization on PlayStation and other game formats. Monitor performance of sales and revenue across the formats and adjust forecasts accordingly. Work with portfolio management, analytics, data science, developers, and value optimization functions to integrate information into forecasts. Collaborate with marketing, product, and sales teams to ensure forecasts align with product More ❯
pipelines, ETL/ELT workflows, and big data solutions . Experience with cloud-based data platforms , preferably Azure Databricks, Azure Data Factory, or Synapse Analytics . Basic experience with test automation frameworks (e.g., PyTest, Great Expectations, DBT tests, or similar). Proficiency in SQL and scripting languages (e.g., Python, Scala More ❯
ll be organised, with an attention to detail and the ability to grasp new tech quickly. You will be comfortable with a data- and analytics-led approach to maximise the product growth. 📋 Key Responsibilities Working alongside with the Director of Engineering and the engineering team to design components of the More ❯
consultancy. We're a team that's energised by innovation and delivering exceptional results for our clients. We deliver cutting edge solutions across data & analytics, AI, cloud infrastructure or security that drive digital transformation and enable our customers to scale, modernise and thrive. In joining Qodea, you'll work alongside More ❯
The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions. We deliver data analytics capabilities built on scalable platforms, advanced AI tools, and high-quality data. Our culture is focused on data products and platforms, always looking ahead for More ❯
ll be organised, with an attention to detail and the ability to grasp new tech quickly. You will be comfortable with a data- and analytics-led approach to maximise the product growth. 📋 Key Responsibilities Working alongside with the Director of Engineering and the engineering team to design components of the More ❯
ll be organised, with an attention to detail and the ability to grasp new tech quickly. You will be comfortable with a data- and analytics-led approach to maximise the product growth. 📋 Key Responsibilities Working alongside with the Director of Engineering and the engineering team to design components of the More ❯
work for. Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events with features such as APM More ❯
offerings. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, Technology, or related discipline 5+ years' experience with Architecture and Technology Solutions, Cloud-Based Analytics, Machine Learning, and/or Big Data Solutions and Development of such solutions 4+ years' experience Developing and Deploying Cloud Native Solutions on Azure or More ❯
creating a harmonised and enriched source of portfolios, transactions, and accounting data. This robust foundation fuels the platform to generate powerful signals through intelligent analytics, empowering a multitude of use cases. Next Gate Tech is not just a part of the industry's evolution - it is a driving force behind More ❯
On top of this, they will be working in collaboration with Modo's data, modeling, and product teams to help plan and build data analytics products that will revolutionize the workflow of others across the power industry. Modo Energy tools are used to help organizations finance, build, benchmark, and operate More ❯
value. Support data management standards and policy definition including synthesizing and anonymizing data. Develop and maintain data engineering best practices and contribute to data analytics insights and visualization concepts, methods, and techniques. We are looking for experience in the following skills: Palantir Python PySpark/PySQL AWS or GCP Set More ❯
Experience with relational databases and optimization. Specifically, strong knowledge with SQL Server and Oracle. Experience with continuous delivery and automated testing preferred. Knowledge of analytics and technology product integration. Knowledge of modern development practices and the development lifecycle with experience using Scrum, Kanban, Lean or other agile methodologies. Experience creating More ❯
understanding of network protocols and architectures (ISIS, BGP, BMP, ARP, SNMP, CDP/LLDP) and network engineering, management, and operations. Experience with search and analytics engines/big data tools (OpenSearch, Kafka, Kibana, Telegraf, InfluxDB, Prometheus). Our Preferred Qualifications for this role: Basic understanding of AI and ML algorithms More ❯
Addlestone, Surrey, United Kingdom Hybrid / WFH Options
Astellas
BPMS Value Team, fostering collaboration across Commercial, Medical Affairs, and IS/DX. Engage with internal stakeholders and external vendors to support data strategy, analytics, and integrations. Champion Agile methodologies, driving innovation while ensuring technology aligns with business needs. Senior business Product Owner experience managing web-based applications and operations. More ❯
the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems More ❯
student needs. What you'll have 5+ years of product management experience, including at least 2 years working directly with machine learning or predictive analytics products. Strong understanding of predictive modelling, recommendation systems, and Generative AI applications. Experience operationalising machine learning products into customer-facing workflows. Proven ability to work More ❯
turning real-world routing challenges into scalable, production-ready solutions. You'll work directly in a cross-functional squad which includes Operations, Engineering, Data Analytics, and other Data Scientists, to improve how parcels are grouped, sequenced, and routed across the network. You'll also play a key role in shaping More ❯
connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries More ❯
connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries More ❯
fraud risks. Develop and implement fraud prevention frameworks, policies, and risk mitigation strategies. Fraud Detection & Risk Management Leverage AI-driven fraud detection tools, data analytics, and forensic techniques. Monitor emerging fraud trends and enhance risk strategies accordingly. Collaborate with industry peers and law enforcement agencies to improve fraud intelligence sharing. More ❯
teams. Preferred Skills: Strong understanding of procurement workflows, tools, and industry trends. Familiarity with procurement systems like SAP Ariba or Coupa. Proficiency in data analytics tools and techniques (e.g., Tableau, SQL). Strong business acumen and ability to align product strategy with financial goals. Experience with compliance requirements in procurement More ❯
