26 to 50 of 54 Behavioural Analytics Jobs in the UK

will cover Threat hunting, analysis, monitoring, Optimising, reporting, alerting and investigation activity utilising a wide variety of security platforms including AI/ML and behavioural analytics, SIEM (Security Information Event Management), Network Packet Capture platform, Anti Malicious Code, Threat Detection technologies and platforms across the UK Network Perimeter ...

will cover Threat hunting, analysis, monitoring, Optimising, reporting, alerting and investigation activity utilising a wide variety of security platforms including AI/ML and behavioural analytics, SIEM (Security Information Event Management), Network Packet Capture platform, Anti Malicious Code, Threat Detection technologies and platforms across the UK Network Perimeter ...

than other, similar health research programmes. Technology and data are central to our mission. Our systems power web sites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our data science capability to support … have most of the below, we’d like to hear from you: Significant experience applying data science, machine learning, statistical modelling or advanced analytics to complex real‐world datasets. Strong applied statistical expertise, including the ability to quantify risk and uncertainty, evaluate assumptions, design validation approaches, interpret imperfect ...

will cover Threat hunting, analysis, monitoring, Optimising, reporting, alerting and investigation activity utilising a wide variety of security platforms including AI/ML and behavioural analytics, SIEM (Security Information Event Management), Network Packet Capture platform, Anti Malicious Code, Threat Detection technologies and platforms across the UK Network Perimeter ...

industry trends with a balanced view of risk, value, and scalability. Lead POCs and technology evaluations focused on automation, AI/ML, behavioral analytics, identity modernization, and cloud-native security. Champion adoption of innovative practices that improve resilience, automation, and operational efficiency, including AI/ML. What ...

qual, UX), and augmenting in‐house activities with external partners where necessary, to deadline and on budget. Integrate a broad set of data (behavioral analytics, first‐party data, qualitative, trends, contextual data) into unified narratives and insights that inform marketing, editorial, product, partnership, and commercial/advertising decisions through ...

Detection, triage, and response for a world where adversaries use AI to find and exploit vulnerabilities faster than traditional detection can keep up. Behavioral analytics for AI agents. Playbooks for AI-originated attack scenarios. What You'll Work On Testing AI applications and agents . GenAI applications, agentic systems ...

someone who is genuinely excited to figure out what works before the playbook exists.You will sit within our growth marketing function, working closely with Analytics, MarTech, Web, Brand, and Sales to connect what happens in the auction to what happens in the pipeline. Responsibilities Own B2B paid search strategy … performance reporting across market, campaign, and keyword level — and translate the numbers into a clear performance narrative with a recommended next action. Partner with Analytics and Data Engineering on audience and data infrastructure, including customer match and audience-signal lists and querying the data warehouse directly to answer your ...

prioritise initiatives and maximise business value Leading backlog prioritisation and ensuring product work is clearly defined and ready for delivery Using customer insights, behavioural analytics and experimentation to improve digital journeys and conversion Driving improvements to product processes, prioritisation frameworks and stakeholder engagement Managing dependencies, risks and competing … working closely with Engineering teams throughout the product lifecycle Experience owning roadmaps, prioritising backlogs and translating business requirements into deliverable work Strong understanding of analytics, customer behaviour and experimentation (A/B testing, conversion optimisation, product metrics) Excellent stakeholder management skills with the ability to influence across Product, Technology ...

detection rules, workbooks, and logging pipelines. Working knowledge of DLP and threat intelligence monitoring. Experience applying AI/ML to security workflows – automated triage, behavioural analytics, or LLM‐assisted investigation. Understanding of AI security risks and frameworks: OWASP LLM Top 10, NIST AI RMF. Scripting proficiency in Python ...

technical security solutions (such as but not limited to firewalls, SIEM, NIDS/NIPS/HIDS/HIPS, EDR, DLP, SOAR, proxies, network behavioural analytics, orchestration, automation and cloud security). Deep knowledge of TCP/IP, UDP, DNS, FTP, SSH, SSL/TLS and HTTP Protocols, network ...

hundreds of new threats each minute and validates billions of threat queries daily. The company has pioneered breakthrough innovations in antimalware, IoT security, behavioral analytics, and artificial intelligence and its technology is licensed by more than 180 of the world’s most recognized technology brands. Founded in 2001, Bitdefender ...

Detection, triage, and response for a world where adversaries use AI to find and exploit vulnerabilities faster than traditional detection can keep up. Behavioral analytics for AI agents. Playbooks for AI-originated attack scenarios.**What You'll Work On*** **Testing AI applications and agents**. GenAI applications, agentic systems ...

escalations and high‐priority service situations, ensuring swift resolution and long‐term improvements. Drive the evolution of customer insight capabilities through AI, sentiment analysis, behavioural analytics, and data‐driven decision making. Transform customer feedback and operational intelligence into actionable business recommendations and strategic initiatives. Identify opportunities to improve … with a strong understanding of retention, recurring revenue models, customer lifetime value, and growth metrics. Demonstrable experience implementing customer insight, sentiment analysis, AI‐driven analytics, or customer intelligence programmes. Strong change management and transformation leadership capability. Experience influencing and driving outcomes across large, cross‐functional organisations. Excellent stakeholder management ...

Legal teams to align DLP and insider risk controls with regulatory and business requirements Continuously optimise detection use cases combining identity, data, and behavioural analytics Multi-Cloud Deception & Detection (AWS, GCP, OCI) Extend the deception programme and Defender-style detection capabilities consistently across AWS, GCP, and OCI, including ...

that deliver consistent, well-governed outcomes across design, delivery, and run Deep understanding of modern marketing technology ecosystems, including content management, marketing automation, personalisation, analytics and campaign execution platforms, and how they can be leveraged to drive client acquisition, engagement and retention at scale. Experience defining and executing digital … product strategies that combine customer insight, behavioural analytics, data and AI to optimise digital journeys, improve conversion and engagement metrics, and deliver differentiated client experiences across global markets. Experience driving business and technology alignment at scale , using data underpinned by SnowFlake and AI as core enablers to support ...

optimise detection rules, threat models and advanced monitoring capabilities across SIEM, EDR and cloud security platforms. Conduct proactive threat hunting activities using threat intelligence, behavioural analytics and industry frameworks to identify previously undetected threats. Develop and enhance security automation and SOAR playbooks to improve operational efficiency, response capability ...

optimise detection rules, threat models and advanced monitoring capabilities across SIEM, EDR and cloud security platforms.* Conduct proactive threat hunting activities using threat intelligence, behavioural analytics and industry frameworks to identify previously undetected threats.* Develop and enhance security automation and SOAR playbooks to improve operational efficiency, response capability ...

with the Marketing, Finance, Trading and Product teams. Understand their core business problems and translate them into robust analytical projects and briefs. Diagnostic & Prescriptive Analytics: Move beyond the dashboard. Use advanced techniques (e.g., causal inference, churn propensity, cohort analysis, customer value modelling) to identify the true drivers of customer … baseline. You should have experience with large-scale data environments [ e.g. Snowflake, Databricks or BigQuery], visualization tools (e.g. Tableau) and digital analytics [e.g. Amplitude, Adobe or Google Analytics]Trusted Advisor Exceptional ability to "translate" technical findings for C-suite and non-technical stakeholders. You don't just present ...

Security Data and AI lab have a phenomenal opportunity for an experienced and dynamic Lead Data Scientist to work with our Analytics and Data Engineering feature teams. In this role, you’ll be owning the way in transforming how we detect, mitigate, and prevent cyber threats using advanced … collaborators across the Group COO and CSO functions What You’ll Need... Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp ...

Security Data and AI lab have a phenomenal opportunity for an experienced and dynamic Lead Data Scientist to work with our Analytics and Data Engineering feature teams. In this role, you’ll be owning the way in transforming how we detect, mitigate, and prevent cyber threats using advanced … collaborators across the Group COO and CSO functions What You’ll Need... Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp ...

Security Data and AI lab have a phenomenal opportunity for an experienced and dynamic Lead Data Scientist to work with our Analytics and Data Engineering feature teams. In this role, you’ll be owning the way in transforming how we detect, mitigate, and prevent cyber threats using advanced … collaborators across the Group COO and CSO functions What You’ll Need... Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp ...

colleagues work. We find what blocks adoption, remove it, and measure the change in practice. The Senior Manager, CX Adoption Analytics & Insights Lead is the data-driven engine of the team. Without deep telemetry, the rest of the team is guessing. This role tracks exactly who is using … helps build organizational capability by establishing common measurement practices, enabling data-driven decision making, and helping stakeholders understand the behavioral drivers of successful adoption. Analytics Leadership & Organizational Capability Establish standards, frameworks, and best practices for adoption measurement and behavioral analytics across adoption initiatives. Build organizational capability by enabling ...

quality, structure, governance, and accessibility of customer, content, and behavioral data. Help build the systems that collect, store, enrich, and activate behavioral data for analytics, personalization, audience intelligence, and business decision-making. Lead work on metadata, taxonomy, and content intelligence capabilities that improve discoverability, reporting, and personalization. Develop … tooling that support content creation, enrichment, and distribution. Identify opportunities to automate workflows and reduce manual effort across content and operational processes. Use research, analytics, experimentation, and stakeholder feedback to inform product decisions and prioritize investments. Define success metrics and measure the impact of product initiatives. Manage products from ...

data mining techniques to combine multiple large customer, transaction, campaign and digital datasets into new data marts, analytical models and reusable insight assets. Descriptive Analytics: Interpret data and present findings to stakeholders in a clear and impactful manner to drive data-driven decision making. Deliver deep-dive customer insight … recommendations that explain customer performance and behavioural trends. Advanced Analytics: Apply statistical and analytical techniques such as segmentation, clustering, predictive modelling and campaign measurement. Working knowledge of data science techniques including random forest, k-means and linear regression. Optimisation: Collaborate with cross-functional teams to identify opportunities ...