CloudSmiths, a leading innovator in cloud-based solutions, is looking for a Senior Data Scientist to join our dynamic team. We are committed to helping businesses transform their operations and achieve their goals through cutting-edge technology. With a focus on innovation and excellence, we work across diverse industries, including financial services, online gaming, and mining, solving complex problems with advanced analytics, machine learning, and cloud-based technologies.
As a Senior Data Scientist, you will lead the development of innovative data-driven solutions for internal and external clients. This includes building, deploying, and optimizing AI and machine learning models, as well as driving collaboration across technical and business teams to deliver impactful outcomes.
Your Responsibilities:Advanced Data Science & AI/MLBuild, deploy, and optimise machine learning models, applying statistical and advanced machine learning techniques to solve real-world problems such as real-time fraud detection, anomaly detection, and predictive maintenance.Work with large-scale datasets to uncover trends, patterns, and actionable insights for various industries, including financial institutions, online gambling, and mining operations.Develop and productionalise machine learning pipelines, ensuring scalability, efficiency, and lifecycle management of models.Data Engineering & InfrastructureCollaborate with Data Engineers to design and implement cloud-based data environments suited for advanced analytics and AI applications.Leverage Azure and Google Cloud Services to build and manage scalable, secure data pipelines using tools like Azure Data Factory, Databricks, Synapse Analytics, and BigQuery.Assist in developing applications that automate data collection, aggregation, and visualisation at scale.Technical Documentation & Solution DesignDocument assumptions, rules, processes, and analysis used in solutions, along with produced artifacts and results.Work closely with project teams to prototype and test models, ensuring a seamless transition to production.Client Engagement & Strategic Problem SolvingUnderstand client-specific data infrastructures and deliver tailored data science solutions.Act as a thought leader, guiding clients on adopting AI and machine learning strategies to meet business goals.Solve complex problems, such as wallet transaction analysis, anomaly detection, and optimizing operational efficiency in online gaming and mining.Leadership & CollaborationMentor junior team members and contribute to the development of best practices.Coordinate with cross-functional teams to align technical solutions with business objectives.The Ideal CandidateTechnical Expertise:Proficient in Python, SQL, and at least one additional language (e.g., Java, R, or C++).Strong experience in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.Proven ability to design and implement AI/ML pipelines, including LLMs (prompting, fine-tuning, and integration).Demonstrated proficiency with data mining, statistical analysis, and advanced pattern recognition.Hands-on experience with Azure and Google Cloud services, with working knowledge of AWS being a bonus.Certification in data science or machine learning (e.g., GCP Machine Learning Professional, Stanford Data Science, Andrew Ng's Machine Learning).Industry Knowledge:Experience working with financial institutions (e.g., banks) on projects involving wallet transactions, real-time fraud detection, and anomaly detection.Familiarity with online gaming and mining industry challenges and data-driven solutions.Soft Skills:Ambitious, self-motivated, and able to lead analysis and solution development.Strong communication skills, with the ability to translate complex technical solutions into business value.Thrives in collaborative environments and is keen to mentor and support team growth.Educational Background:Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Economics, or a related field.
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