Are you passionate about solving complex problems with data? Join a fast-growing tech and software innovation company in the heart of London. We’re looking for a Data Scientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth. Your Responsibilities: Data exploration & modelling: Work with large, complex datasets to uncover insights and build scalable predictive models. Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau, Power BI, or similar. Problem-solving mindset: Ability to translate complex technical problems into business solutions. It’s a Bonus If You Have: Experience in SaaS, fintech, or software product companies. Knowledge of big data frameworks (Spark, Hadoop) or cloud platforms (AWS, GCP, Azure). Experience building and deploying models into production. A strong interest in AI, automation, and software innovation. What’s in It for You: Impact: Work on products used by thousands of businesses and consumers worldwide. Career growth: Join a scaling tech company with clear progression opportunities. Collaborative culture: A dynamic team that values innovation, experimentation, and learning. Cutting-edge tools: Access to modern data platforms, cloud infrastructure, and MLOps frameworks. Competitive package: Salary, bonus, and flexible benefits. If you’re a driven Data Scientist ready to shape the future of technology and software innovation, we’d love to hear from you. Apply now and help build smarter, data-driven products that make an impact.