13 of 13 Behavioural Analytics Jobs in the UK excluding London

Contract Data Analyst - Specialist in Behavioural & Statistical Analytics Location : Hybrid - Reading & London Day Rate : £450-£500 Outside IR35 Contract Length : 3-6 Months Start : ASAP A leading research and data-driven organisation is looking for a Specialist Data Analyst to join their behavioural insights function. This is not a junior or generalist role - they are seeking someone … with deep, hands-on expertise in statistical analysis and behavioural analytics to support large-scale, human-centred research work. You'll play a pivotal role in uncovering complex patterns in behavioural data and translating them into meaningful insight. Key Responsibilities Lead sophisticated statistical analysis of large behavioural and marketing datasets (e.g. regression modelling, clustering, distributions). … Apply behavioural analytics frameworks to identify, explain, and visualise user trends and profile patterns. Use Python and SQL to automate analysis, build tools, and process complex datasets. Support research teams with data validation, insight generation, and hypothesis testing. Collaborate through in-person whiteboarding and analysis sessions in Reading and London. Essential Expertise Specialist-level experience in applied statistics More ❯

Support and Infrastructure/Information Systems). It will cover analysis, monitoring, 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 working with the best standard More ❯

Senior Data Scientist - Customer & Behavioural Analytics £70,000 - £80,000 + Bonus + Benefits Hybrid Working - 1 day in the office circa every 2 weeks. Role Summary We are seeking a commercially minded Senior Data Scientist to lead the development of advanced analytics and machine learning solutions focused on customer behavior, personalization, and lifecycle management. Your work … will directly impact customer retention, engagement, and lifetime value, helping the business make smarter, data-driven decisions at scale. Key Responsibilities Lead customer-centric analytics projects across retention, segmentation, churn prediction, product usage, and personalization Build and maintain predictive models (e.g. churn, CLV, next-best action, recommendation systems) and translate insights into business value Conduct deep-dive analyses into … standards and practices Key Skills & Technologies Technical: Strong in Python (pandas, scikit-learn, XGBoost, LightGBM, etc.) Proficient in SQL for complex customer data extraction and manipulation Experience with customer analytics techniques: segmentation, RFM analysis, clustering, time-series, A/B testing, uplift modeling Familiarity with BI tools (e.g. Tableau, Power BI) for communicating customer insights Comfortable working with large More ❯

with the flexibility to work remotely for the remaining two days. The role will report into a Director within the Quantitative team. Scope of responsibilities Project Operations Conduct advanced analytics on MTM projects, including segmentation, MaxDiff, Key Driver Analysis (KDA), and conjoint analysis, acting as a client-facing data science expert Review, recommend, and set up new data infrastructure … Explore opportunities to develop completely new MTM specialties, identifying and implementing new initiatives 3. Team Upskilling Conduct regular internal statistics training sessions Enhance the team's understanding of advanced analytics techniques and data literacy Establishing best practise and providing training on data science Experience in data science, including working within a primary research agency in a data analytics function e.g. as a data analyst/scientist, running advanced quantitative analyses (regression, segmentation etc.) Proven experience in advanced analytics, particularly with survey data (e.g., SPSS, R, Q) Proficiency in programming languages supporting data science solutions (e.g., Python, SQL, LLM) Familiarity with various data sources beyond survey data, such as behavioural analytics or 1st party data More ❯

data access and usability in Databricks, BigQuery, Tableau, and Looker. You will lead the development of data models and analytical structures to support reporting teams and enable self-service analytics capabilities. The role requires strong collaboration with data engineering teams and business stakeholders to manage data migration, integration, and transformation efforts while delivering high-quality dashboards and insights. What … and open mic nights to showcase Live Nation employee talent. Who you are Competencies/Skills/Knowledge/Experience Proven experience in BI platform management, data engineering, and analytics operations roles with focus on enabling analyst teams Hands-on expertise with Databricks, BigQuery, Tableau and Looker, Python, and advanced SQL for creating views, tables, and optimising data structures … and database design with experience building scalable analytical data models using Python and SQL Experience in analyst enablement including training teams on data access, platform usage, and self-service analytics Technical skills in service account management for BI platform administration in enterprise environments Excellent communication, documentation, and stakeholder management skills with ability to translate technical concepts for diverse audiences More ❯

the complexity of the algorithms results in one of most challenging and appropriate use cases for big data technologies. As we further expand global coverage and deliver more sophisticated Behavioural Analytics based solutions, we are seeking Test Automation Engineers to join our Team in Belfast. The successful candidate will be an established automation testing expert, with a strong More ❯

Familiarity with automotive UX constraints, including driver attention and distraction principles - Basic understanding of accessibility best practices - Previous exposure to tools such as eye-tracking, user testing platforms or behavioural analytics - Experience working with developers or multidisciplinary design teams - Personal Attributes - Energetic and enthusiastic with a delivery-focused approach - Willingness to learn and adapt as part of a More ❯

Familiarity with automotive UX constraints, including driver attention and distraction principles. Basic understanding of accessibility best practices. Previous exposure to tools such as eye-tracking, user testing platforms or behavioural analytics. Experience working with developers or multidisciplinary design teams. Personal Attributes Requested: Energetic and enthusiastic with a delivery-focused approach. Willingness to learn and adapt as part of a More ❯

CRO LEAD - READING THE COMPANY We have partnered with a renowned UK retailer/ecom business on a key Digital Analytics hire. THE ROLE The successful CRO Lead responsibilities will include: Lead the overall CRO strategy, working to maximise site performance and conversion rates across all digital touchpoints. Utilise tools such as FullStory, Hotjar, or similar to identify friction … support recommendations and strategic decisions. YOUR SKILLS AND EXPERIENCE The successful CRO Lead will have the following skills and experience: Strong background in CRO and digital optimisation. Comfortable using behavioural analytics and heatmapping tools. Ability to get hands-on with data and translate findings into actionable initiatives. Skilled at problem-solving and collaborating with technical and design teams. More ❯

in agile delivery and stakeholder engagement. Eligible for UK security clearance (e.g., 5 years residency). Preferred: Knowledge of SaaS or Salesforce. Familiarity with GOV.UK design patterns. Understanding of behavioural analytics and service blueprinting. DONT WAIT APPLY NOW !!! Reference: DRI/AMC/SUR Postcode: SW1 4DF #dari More ❯

a central function within the business. SKILLS + EXPERIENCE Proven experience in CRO - any industry background welcome Strong understanding of customer journeys, UX principles, and digital performance Experience with behavioural analytics tools such as Fullstory, Hotjar, GA4 Strategic thinker who's hands-on and passionate about optimisation Confident in presenting ideas, insights, and results to senior stakeholders Strong More ❯

Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £160,000+ - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but … communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI More ❯

colleagues and assets safe from threat. The CSO's Security Data Services lab have an excellent opportunity for an experienced and dynamic Lead Data Scientist to work with our Analytics and Data Management feature teams. In this role, you'll be at the forefront of redefining how we detect, mitigate, and prevent cyber threats using sophisticated AI and machine … rare opportunity to craft the future of cybersecurity in one of the UK's most data-rich environments. What you'll do Lead the design, development, and deployment of behavioural anomaly detection models using unsupervised learning, deep learning (e.g. auto-encoders), and novelty detection techniques. Lead a team of Data Scientists Drive innovation in LLM-based security automation, including … workplaces, and colleagues to make our Group a great place for everyone. Including you. What you'll need Proven 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 of anomaly detection, time-series More ❯