Data Scientist

Data Scientist📍 Location: London, London, United Kingdom (Hybrid)🏢 Industry: Software Development💼 Work Setting: HybridAre you passionate about leveraging data science and artificial intelligence to create personalized customer experiences and drive measurable business impact? We are seeking a Data Scientist to join a high-performing AI and Analytics team, where you will develop and deploy innovative machine learning solutions that enhance customer engagement, optimize business performance, and deliver data-driven insights at scale. This role offers the opportunity to work on advanced machine learning, recommendation systems, generative AI applications, and experimentation frameworks while collaborating with cross-functional teams to solve complex business challenges.Key ResponsibilitiesDesign, develop, and deploy machine learning and AI solutions that improve customer engagement, personalization, and business performance.Build and optimize recommendation engines, ranking models, embedding models, and predictive analytics solutions.Apply advanced machine learning and generative AI techniques to solve complex business problems and enhance user experiences.Develop customer segmentation, targeting, and personalization models that drive growth and engagement.Design, execute, and evaluate A/B tests and experiments with strong statistical rigor to measure business impact.Analyze large-scale datasets to extract actionable insights and support strategic decision-making.Collaborate with engineering teams to productionize models and maintain scalable machine learning pipelines.Implement best practices for model deployment, monitoring, maintenance, and continuous improvement.Translate business objectives and stakeholder requirements into effective data science solutions.Present analytical findings, recommendations, and model performance results to technical and non-technical audiences.Develop scalable Python-based solutions and write efficient SQL queries for data extraction, transformation, and analysis.Stay current with industry advancements in machine learning, artificial intelligence, recommendation systems, search technologies, and predictive modeling.Contribute to the development of data science standards, methodologies, and best practices across the organization.Take ownership of end-to-end data science projects, from problem definition and experimentation to deployment and impact measurement.Required QualificationsBachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related quantitative field.Proven experience in Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics, or a related discipline.Strong programming skills in Python for machine learning, data analysis, and model development.Advanced SQL skills with experience working on large and complex datasets.Experience developing and deploying machine learning models in production environments.Strong understanding of statistical analysis, hypothesis testing, and experimental design.Ability to work independently and manage multiple projects simultaneously.Excellent analytical, problem-solving, and critical-thinking abilities.Strong communication and stakeholder management skills.Preferred Skills & ExperienceExperience with recommendation systems, personalization engines, search optimization, or ranking algorithms.Knowledge of Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), or Retrieval-Augmented Generation (RAG) solutions.Experience with embedding models, vector databases, and semantic search techniques.Familiarity with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.Experience working with cloud platforms and scalable data environments.Knowledge of MLOps practices, model monitoring, CI/CD pipelines, and automated deployment processes.Experience collaborating with product, engineering, analytics, and business stakeholders.Understanding of customer behavior analytics, growth analytics, and personalization strategies.Key CompetenciesMachine Learning & AI DevelopmentStatistical Analysis & ExperimentationData Modeling & Predictive AnalyticsGenerative AI & LLM ApplicationsRecommendation SystemsA/B Testing & Causal InferencePython & SQL ProgrammingData Visualization & StorytellingBusiness Problem SolvingStakeholder CommunicationCross-Functional CollaborationInnovation & Continuous Learning