London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
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 behaviouralanalytics 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 behaviouralanalytics 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 ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Salt Search
Senior Data Scientist - Customer & BehaviouralAnalytics £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 ❯
Leeds, Yorkshire, United Kingdom Hybrid / WFH Options
MTM London
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 behaviouralanalytics 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 ❯
Shoreditch, London, England, United Kingdom Hybrid / WFH Options
Reed
using AI-powered platforms. Data-Driven Decision Making Establish KPIs and dashboards to measure the impact of AI and digital initiatives on marketing ROI. Use insights from customer data, behaviouralanalytics, and market trends to inform strategy. Ensure ethical and compliant use of AI in all marketing activities. Stakeholder Engagement & Innovation Leadership Act as a thought leader and More ❯
sonar) signal processing Sensor fusion and multi-sensor tracking Distributed sensing systems or edge ML Autonomy and human-machine teaming Space-domain awareness (SDA) Navigation, positioning, and timing systems Behaviouralanalytics or pattern of life modelling Why Apply? Join a cutting-edge AI research team with real-world impact Work across defence, national security, and emerging commercial technologies More ❯
demands a deep engineering mindset and an appetite for innovation. You'll design and implement automated detection and response pipelines, integrate advanced threat intelligence, and lead the use of behaviouralanalytics and attack simulation across our environment. Your technical breadth will span modern cloud-native stacks (Azure, GCP), serverless and containerised architectures, and a wide range of security More ❯
North West London, London, United Kingdom Hybrid / WFH Options
TEAM
satisfaction levels. VIP Program Strategy & Execution Design and optimise the VIP experience from onboarding to personalised promotions, exclusive events, and retention initiatives. Data-Driven Personalisation Use player data and behaviouralanalytics to segment users, track activity, and anticipate needs delivering relevant, real-time value. Issue Resolution & Support Act as the main point of contact for VIP clients, resolving … players. High Emotional Intelligence Strong interpersonal skills, discretion, and the ability to connect with players from diverse cultures and backgrounds. Analytical Mindset Experience using CRM tools, player segmentation, and analytics platforms to inform decision-making. Communication Excellence Fluent written and verbal English (additional languages a bonus). Clear, persuasive, and confident communicator. Flexible & Resilient Comfortable working in a high More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Candidate Source - TEAM
satisfaction levels. VIP Program Strategy & Execution – Design and optimise the VIP experience – from onboarding to personalised promotions, exclusive events, and retention initiatives. Data-Driven Personalisation – Use player data and behaviouralanalytics to segment users, track activity, and anticipate needs – delivering relevant, real-time value. Issue Resolution & Support – Act as the main point of contact for VIP clients, resolving … players. High Emotional Intelligence – Strong interpersonal skills, discretion, and the ability to connect with players from diverse cultures and backgrounds. Analytical Mindset – Experience using CRM tools, player segmentation, and analytics platforms to inform decision-making. Communication Excellence – Fluent written and verbal English (additional languages a bonus). Clear, persuasive, and confident communicator. Flexible & Resilient – Comfortable working in a high More ❯
and activation metrics Collaborate across design, engineering, data, and marketing to run experiments that improve conversion and engagement Establish and refine growth funnels and identify bottlenecks using product and behaviouralanalytics Build and test new product experiences aimed at improving first-time user success and long-term retention Speak with customers to uncover insights that drive activation, retention More ❯
Senior Analyst to build out core infrastructure and provide insight to marketing, product, and leadership teams. This is a hands-on role suited to someone who enjoys full-stack analytics — from data warehousing and ETL to stakeholder insight and dashboarding. The Business The company operates a free-to-enter prize model combining soft gaming mechanics with tiered subscription products. … consultants — too slow for a business growing this fast. This new hire will be the first in-house data lead , with ownership of tooling, infrastructure, and day-to-day analytics delivery. You’ll be a core member of the central team, working across functions (product, tech, marketing) to deliver insight that drives commercial performance. Core Responsibilities: Build and manage … in Looker Studio Deliver regular and ad hoc insights to key stakeholders: Head of Marketing (campaign performance, funnel analysis) CTO (platform/product usage) Head of Product (feature usage, behaviouralanalytics) Manage incoming data requests, helping prioritise and triage business needs Conduct data audits and shape long-term data strategy Proactively surface insights to unlock customer value and 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 behaviouralanalytics - 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 ❯
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 behaviouralanalytics and service blueprinting. DONT WAIT APPLY NOW !!! Reference: DRI/AMC/SUR Postcode: SW1 4DF #dari More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Method Resourcing
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 ❯
commercial thinking to data science, focusing on practical outcomes and business impact rather than academic perfection. Experience in applied data science, preferably in financial services, pricing, revenue management, or behavioural analytics. Strong statistical foundation in regression, experimentation, causal inference, and forecasting. Experience with price elasticity modelling, segmentation, and simulation approaches a big plus. Strong communication skills - you're able … Tableau or similar BI tools GitHub, GCP, Docker (optional but useful) How we expect you to work ️ Collaboration : We work in cross-functional, autonomous squads where product, engineering, and analytics sit together to solve shared problems. Outcomes over outputs : We measure success by impact, not volume of work - always tying decisions to business goals. Rapid learning & iteration : We experiment More ❯
serve them better. This is a highly cross-functional leadership role - sitting at the intersection of data science, marketing, product, and editorial . You'll oversee customer segmentation, behavioral analytics, retention modeling, and strategic research, translating complex data into actionable insight to fuel decision-making across the business. You'll work closely with marketing, product, editorial, and senior leadership … lifetime value. Key Responsibilities Lead GB News' customer and audience insight function, developing a deep understanding of viewer behavior, member value, and user journeys. Partner with Data Science and Analytics to design and implement models around segmentation, churn risk, LTV, engagement scoring, and conversion likelihood. Guide research and analysis to support marketing, content, and product teams - including audience profiling … to inform experimentation strategies, messaging personalization, and audience growth initiatives. Act as a champion for insight-led decision-making across the business. Qualifications 8+ years in data strategy, marketing analytics, customer insights, or a related field, ideally within media, publishing, or a subscription-driven business Strong experience with data analytics tools (SQL, Python, R) and BI platforms (e.g. More ❯