Senior Data Scientist II

About the role

Are you motivated to build scalable data solutions that directly shape customer engagement and marketing performance? Do you enjoy collaborating across teams to turn complex data into actionable insights and real-time decision making? About Our Team: The MarTech & Marketing Operations team brings together marketing technology, customer data, analytics and activation capabilities across LNRS Data Services. We use data and advanced analytics to improve audience targeting, customer journeys, marketing effectiveness and commercial outcomes. Working across Marketing, MarTech, Data Engineering and commercial teams, we turn customer and behavioral data into intelligence that can be activated across marketing channels. About the Role: As a Marketing Data Scientist, you will develop advanced analytical and predictive models that help Marketing better understand customers, identify growth opportunities and make smarter decisions across the customer lifecycle. You will combine customer, behavioral, campaign and commercial data to build models for propensity, segmentation, lead and account scoring, churn, next-best action, personalisation and customer value. Working alongside Marketing Analytics, MarTech and Data Engineering, you will take models beyond experimentation by helping integrate model outputs into the CDP, marketing automation and customer journeys, enabling insights to drive measurable marketing and commercial outcomes. Responsibilities Develop predictive models across customer acquisition, engagement, conversion, retention and growth. Build propensity and lead/account scoring models to identify customers and prospects most likely to engage, convert, buy or expand. Develop advanced customer and account segmentation using behavioral, demographic, firmographic, engagement and commercial data. Build models identifying churn, retention and customer growth opportunities, supporting proactive marketing interventions. Develop next-best-action and recommendation approaches to improve customer journeys, targeting and personalisation. Apply statistical and machine-learning techniques to identify the customer behaviors, marketing activities and attributes that drive commercial outcomes. Design and evaluate A/B tests, multivariate experiments, control groups and incrementality studies to establish causal marketing impact. Work with Marketing Analytics to improve attribution and marketing effectiveness measurement, including understanding the incremental contribution of channels and campaigns. Partner with Data Engineering to define model-ready datasets, features and data-quality requirements. Partner with MarTech teams to operationalise scores, predictions, recommendations and segments within CDPs, CRM and journey orchestration platforms. Monitor model accuracy and performance, including drift, bias and changes in underlying customer behavior, and recommend retraining or refinement where appropriate. Translate complex modelling outputs into clear commercial recommendations that Marketing teams and senior stakeholders can act upon. Champion experimentation and responsible use of AI and advanced analytics within Marketing. Requirements Strong experience in data science, predictive analytics or machine learning, ideally applied to marketing, customer or commercial use cases. Advanced proficiency in Python and SQL, with experience working with large customer, behavioural and transactional datasets. Strong knowledge of statistical and machine-learning approaches including regression, classification, clustering, propensity modelling and predictive scoring. Experience developing marketing or customer models such as propensity to buy, lead scoring, churn prediction, customer segmentation or customer lifetime value. Strong understanding of experimental design, A/B testing, causal inference and incrementality measurement. Experience with machine-learning libraries and frameworks such as scikit-learn, XGBoost, PyTorch or TensorFlow. Experience working with cloud data and analytics platforms such as Azure, Databricks, AWS or GCP. Understanding of marketing data ecosystems including CDPs, CRM, marketing automation, digital behavioral data and journey orchestration. Experience collaborating with data engineering teams to create features, training datasets and production scoring pipelines. Ability to evaluate models using appropriate measures such as precision, recall, ROC-AUC, lift and calibration, selecting metrics appropriate to the commercial use case. Strong understanding of data governance, privacy, GDPR and responsible AI, particularly when using customer data. Excellent communication and data-storytelling skills, with the ability to translate sophisticated analytical work into clear marketing and commercial decisions. Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life Assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. At LexisNexis® Risk Solutions, our businesses span multiple industries providing customers with innovative technologies, information-based analytics, decisioning tools and data management services that provide market-specific solutions. Approximately 11,100 employees in offices throughout the world support our brands by serving customers in more than 190 countries and territories. LexisNexis® Risk Solutions is part of RELX, a global provider of information and analytics for professional and business customers across industries. For more information, please visit www.risk.lexisnexis.com and www.relx.com.

Posted Nov 7, 2026