5,826 to 5,850 of 9,977 Analytics Jobs

/Machine Learning Engineer Description Build and deploy machine learning models and AI systems that solve complex business problems. Develop intelligent solutions including predictive analytics, natural language processing, computer vision, and recommendation engines. Key Responsibilities Design, train, and optimize machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn ...

from discovery through build, testing and launch. Field basic technical questions from non-technical stakeholders (internal and externally) Help clarify front-end, CMS, SEO, analytics and accessibility considerations. Support issue triage for basic bugs and front-end fixes, working with developers where required. 5. CMS and product knowledge Support ...

parsing and multimodal models Vector databases and retrieval infrastructure at scale Evaluation datasets and automated regression testing Restaurant, hospitality, point of sale, payments or analytics experience Elixir or Phoenix, or experience working alongside an Elixir backend team This is not the role for you if you want a large ...

incident root causes, trends, and read-across assessments including engagement with ICRM on potential conduct issues. Drive the strategic roadmap for E-Trading risk analytics, developing KRIs, real-time monitoring, and reporting tools, leveraging AI/ML and automation. Identify emerging E-Trading risks from AI, ML, and cloud-based ...

culture, strong values, teamwork, and contribution from a diverse range of individuals will help us to strive for excellence. Our brand Ranked by Clarivate Analytics as a Top 100 Global Innovator brand for the last seven years running. Epson is an equal opportunity employer. We celebrate diversity and are dedicated ...

Experience in market data integration, trade lifecycle systems, or portfolio analytics. MSc degree in a STEM field. Understanding of risk modelling, pricing, or financial analytics concepts. Experience working in client-facing or consultative technology roles. Validus Risk Management is an independent technology-enabled advisory firm specialising in the management ...

skills in a specialist market with strong long-term relevance. You'll gain exposure to: Smart buildings and connected technologies Building performance and operational analytics Sustainability and efficiency-driven initiatives Customer reporting and data visualisation platforms Data quality, reconciliation and system administration Rather than simply maintaining records ...

process expertise to support delivery teams. Collaborate with internal and external stakeholders, including clients and cross‐functional teams to drive project success. Utilise data analytics to inform decision making and enhance business outcomes. Mentor and coach junior team members, fostering professional growth and knowledge sharing. What We’re Looking ...

consulting in the software or Internet industries Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics). Experience in design, implementation, or consulting in applications and infrastructures Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients ...

generate actionable insights that accelerate sales cycles and inform business strategy. Proactively leverage AI‐driven systems (e.g., Salesforce, 6Sense, proprietary tools) and advanced analytics to optimise lead generation, strategic planning, and pipeline accuracy. Work closely with Sales in nurturing, developing, and deepening relationships with existing and prospective merchants. Influence cross ...

content, thought leadership, sales collateral, or points of view (POVs) in support of digital sales and marketing activities. Familiarity with marketing automation, reporting, and analytics tools (e.g. Power BI, Marketing Cloud, or similar) to measure campaign effectiveness and support data‐driven decision making. Experience in a quota‐carrying, lead generation ...

turning data into decisions that drive customer and commercial value. You might already be an experienced pricing professional, or someone with strong modelling and analytics expertise looking to take on broader ownership. If you're curious, commercially minded, and enjoy seeing your ideas move from concept to delivery at pace ...

planner who wants to move beyond traditional planning and into the future of project optimisation. You’ll combine your planning expertise with AI-driven analytics, simulation modelling and advanced optimisation tools to help some of the world’s most complex infrastructure programmes improve certainty, reduce risk and deliver better outcomes. ...

Systems for Business 5. Business Information Systems 6. AI Tool Evaluation, Comparison and Critical Use 7. Responsible AI, Digital Ethics and Governance 8. Data Analytics and AI-supported Decision Making 9. IT Project Management 10. Cybersecurity and Digital Risk (Business/Application Perspective) 11. Digital Platforms, Cloud and SaaS (Business ...

business unit, reporting line, and work pattern in a timely manner, to ensure the system always reflects the current state of the organisation. Reporting & Analytics Support; - Produce and distribute standing HR reports on an agreed cadence including weekly headcount, new starter, and leaver reports, and monthly absence, turnover, and vacancy ...

Systems for Business 5. Business Information Systems 6. AI Tool Evaluation, Comparison and Critical Use 7. Responsible AI, Digital Ethics and Governance 8. Data Analytics and AI-supported Decision Making 9. IT Project Management 10. Cybersecurity and Digital Risk (Business/Application Perspective) 11. Digital Platforms, Cloud and SaaS (Business ...

Systems for Business 5. Business Information Systems 6. AI Tool Evaluation, Comparison and Critical Use 7. Responsible AI, Digital Ethics and Governance 8. Data Analytics and AI-supported Decision Making 9. IT Project Management 10. Cybersecurity and Digital Risk (Business/Application Perspective) 11. Digital Platforms, Cloud and SaaS (Business ...

Scrum or Kanban. Deep experience in gathering and transforming product requirements into a practical product roadmap Strong background in BI and/or Analytics required; experience working on data-oriented products preferred Outstanding written and oral communication skills Passionate about working in the betting industry Team leadership Highly collaborative nature ...

within existing and emerging AI Natives existing and emerging startup and research communities.* Good knowledge of the extended regional AI ecosystem.* Machine learning, data analytics, and artificial intelligence experience preferred* Innovative and creative flair, yet able to follow operational process disciplineNVIDIA is committed to fostering a diverse work environment ...

Systems for Business 5. Business Information Systems 6. AI Tool Evaluation, Comparison and Critical Use 7. Responsible AI, Digital Ethics and Governance 8. Data Analytics and AI-supported Decision Making 9. IT Project Management 10. Cybersecurity and Digital Risk (Business/Application Perspective) 11. Digital Platforms, Cloud and SaaS (Business ...

into the future. These solutions and services span the entire student lifecycle, including data-rich tools for student recruitment, enrollment, and retention to workforce analytics, fundraising, and alumni engagement. Ellucian's innovative solutions, vast ecosystem of partners and user community of more than 45,000 provides best practices leading ...

Present and communicate the results of analyses and investigations to stakeholders across the company You’ll Thrive Here If: You have experience in data analytics or a similar analytical role (through formal education or practical experience) You're comfortable working with and interpreting large datasets You have a knack ...

Systems for Business 5. Business Information Systems 6. AI Tool Evaluation, Comparison and Critical Use 7. Responsible AI, Digital Ethics and Governance 8. Data Analytics and AI-supported Decision Making 9. IT Project Management 10. Cybersecurity and Digital Risk (Business/Application Perspective) 11. Digital Platforms, Cloud and SaaS (Business ...

helping others succeed and turning ambitious ideas into working software. Experience with any of the following would be an advantage: LLMs AI Agents Graph analytics Behavioural modelling Cyber security Network intelligence PyTorch XGBoost Our technology Python SQL AWS PyTorch Scikit-learn XGBoost Docker Kubernetes Claude Code GitHub Copilot LLMs ...

their own companies. Overview The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments ...