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Data Scientist
đź“Ť Location: London, London, United Kingdom (Hybrid)
🏢 Industry: Software Development
đź’Ľ Work Setting: Hybrid
Are 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 Responsibilities
- Design, 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.
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Required Qualifications
- Bachelor’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.
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Preferred Skills & Experience
- Experience 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 Competencies
- Machine Learning & AI Development
- Statistical Analysis & Experimentation
- Data Modeling & Predictive Analytics
- Generative AI & LLM Applications
- Recommendation Systems
- A/B Testing & Causal Inference
- Python & SQL Programming
- Data Visualization & Storytelling
- Business Problem Solving
- Stakeholder Communication
- Cross-Functional Collaboration
- Innovation & Continuous Learning
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