{"id":1354554,"url":"https://alion.io/job/lead-forensics-senior-data-scientist","title":"Senior Data Scientist","company":{"id":1777003,"name":"Lead Forensics","domain":"leadforensics.com","url":"https://alion.io/company/leadforensics","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":72000,"max_usd":143000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Edge AI","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-09-21T11:54:53Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-09-30T02:40:22Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Senior Data Scientist\nSummary\nLead Forensics is at the forefront of building the next generation of B2B buyer intelligence. By integrating behavioural, engagement, firmographic, and intent signals, we empower our customers to identify in-market opportunities, understand prospect behaviour, and make better commercial decisions. Our platform processes vast amounts of data, leveraging advanced analytics, machine learning, and AI to transform fragmented signals into actionable and trusted intelligence.\nWe're seeking an experienced Senior Data Scientist (minimum 5 years experience) to join our expanding Data & AI team. In this pivotal role, you will develop innovative data products, predictive models, and intelligent signals to help our customers discover opportunities, recognise buying intent, and act faster than their competitors.\nThe ideal candidate will combine robust data science expertise with strong product instincts. You are comfortable working with large-scale time-series and event-stream data, uncovering valuable signals from noise, and delivering production-ready solutions that can be embedded across our SaaS platforms.\nThis role suits a hands-on, senior individual contributor who thrives on moving from experimentation to real-world impact, turning data-driven concepts into measurable business results.\nKey Responsibilities\nData Science & Machine Learning\nDevelop predictive models that identify patterns, opportunities, risks, and trends from large volumes of visitor activity data.\n\nDesign and implement machine learning techniques that transform noisy behavioural data into commercially valuable insights.\n\nBuild time-series models to detect trends, anomalies, seasonality, intent signals, and shifts in customer behaviour.\n\nCreate ranking, scoring, recommendation, and propensity models for customer engagement and sales intelligence.\n\nApply statistical methods to assess signal quality, confidence, uncertainty, and the reliability of models.\n\nContinually evaluate and enhance model performance using real-world data.\n\nData Products & Platform Integration\nDesign models and analytics as reusable data products, not just one-off analyses.\n\nCollaborate with software engineers to productionise models via APIs, services, event streams, and platform integration.\n\nDevelop data contracts and interfaces for seamless consumption of machine learning outputs by engineering teams.\n\nWork with Product Managers to define and prioritise data-driven features.\n\nEnsure models are observable, reproducible, monitorable, and maintainable, with robust performance tracking and continuous improvement.\n\nAI & Advanced Analytics\nInvestigate cutting-edge AI techniques, including agentic workflows, to drive improved customer outcomes and productivity.\n\nIdentify where large language models (LLMs) and structured behavioural signals can be combined to add value.\n\nCreate robust evaluation frameworks and guardrails for AI-powered solutions.\n\nDrive a spirit of experimentation while focusing on tangible, measurable business outcomes.\n\nData Strategy & Leadership\nInfluence Lead Forensics’ approach to data science, experimentation, and machine learning.\n\nChampion evidence-based decision making within Product and Engineering.\n\nHelp establish best practices for model lifecycle management, feature engineering, experimentation, and reproducibility.\n\nContribute to the long-term vision for the company’s data and AI capabilities.\n\nAbout You\nExperience & Background\n5+ years of experience in Data Science, Machine Learning, Applied AI, or a similar discipline.\n\nStrong academic background in Mathematics, Statistics, Computer Science, Data Science, Physics, Engineering, or a related quantitative field.\n\nSubstantial experience working with large-scale, event-driven datasets.\n\nProven track record of deploying production ML solutions that create measurable business value.\n\nExperience in SaaS, AdTech, MarTech, Sales Intelligence, Consumer Analytics, or similar data-intensive fields.\n\nTechnical Strength\nExcellent Python development skills.\n\nDeep understanding of statistics and machine learning theory.\n\nExperience with supervised, unsupervised, and probabilistic modelling.\n\nAdvanced SQL skills and experience working with large datasets.\n\nDemonstrated ability to create data products, not just deliver analyses.\n\nFamiliarity with modern cloud-native data platforms and scalable ML infrastructure.\n\nUnderstanding of MLOps practices, including model versioning, monitoring, and deployment workflows.\n\nStrong grasp of experimentation, hypothesis testing, and causal inference.\n\nMindset & Working Style\nCommercially focused and results-driven.\n\nCurious, creative, and motivated by solving complex problems.\n\nComfortable switching between research, experimentation, and production delivery.\n\nAble to clearly communicate complex ideas to technical and non-technical stakeholders.\n\nEffective collaborator who enjoys working across Product, Engineering, and Data teams.\n\nPassionate about building impactful, customer-focused solutions.\n\nWhat Success Looks Like\nLaunching new predictive signals that directly enhance customer outcomes.\n\nIncreasing the quality and reliability of behavioural insights on our platform.\n\nEstablishing repeatable, robust processes for model evaluation and deployment.\n\nBuilding strong partnerships with Product and Engineering teams.\n\nCreating reusable data products leveraged by multiple services at Lead Forensics.\n\nHelping to shape the organisation’s AI-powered product capabilities.\n\nWhy Join Lead Forensics?\nBuild data products that drive how thousands of customers identify opportunities and understand buying intent.\n\nOwn projects from research to production, making a visible business impact.\n\nWork closely with Product, Engineering, and Leadership to drive innovation across the platform.\n\nCollaborate with skilled software engineers to deliver robust, scalable ML solutions-not just isolated analytical models.\n\nInfluence the shape of our data and AI strategy while remaining hands-on with the latest technologies.\n\nEnjoy a remote-first culture, with occasional collaborative sessions at our Portsmouth office.\n\nWhat We Offer\nCompetitive salary, commensurate with experience and seniority\n\n25 days’ holiday, plus bank holidays, and your birthday off\n\nAttractive office location near Portsmouth\n\nFantastic company culture, built on our \"One Team\" and \"Growth\" values\n\nOpportunities to give back through volunteer days, fundraisers, and charity events\n\nRegular company socials, team-building activities, and cross-functional events\n\nFree on-site parking and gym\n\nTwo paid charity days per 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