Data Scientist

About The Company Tenth Revolution Group is a dynamic and rapidly expanding UK-based technology firm renowned for its innovative approach to e-commerce solutions. Recognized as one of the country's fastest-growing tech companies, Tenth Revolution Group is committed to delivering exceptional value to its customers through cutting-edge technology and data-driven insights. The company fosters a collaborative and ambitious work environment, encouraging creativity and continuous learning among its team members. With a focus on scalable growth and technological excellence, Tenth Revolution Group aims to be a leader in the e-commerce space, shaping the future of online retail and customer engagement. About The Role We are seeking a talented and motivated Data Scientist to join our team remotely. In this pivotal role, you will leverage your expertise in data analysis, machine learning, and statistical modelling to identify and mitigate potential risks within our operations. You will work closely with cross-functional teams, including data engineers, product managers, and business stakeholders, to develop innovative solutions that enhance decision-making processes. Your insights will directly impact our ability to manage risk effectively, optimize strategies, and support our company's rapid growth. This position offers a unique opportunity to be at the forefront of technological innovation in a high-growth environment, contributing to meaningful projects that influence the future direction of the company. Qualifications The ideal candidate will possess a strong background in data science, with proven experience in developing and deploying machine learning models. Proficiency in Python and SQL is essential, along with familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. Knowledge of statistical analysis techniques and experience working with large datasets are required. Additionally, understanding of Large Language Models (LLMs) and AI modelling tools is highly desirable. Excellent communication skills are vital for translating complex technical insights into understandable recommendations for non-technical stakeholders. A problem-solving mindset and the ability to thrive in a fast-paced, collaborative environment are key attributes for success in this role. Responsibilities

• Develop and implement advanced statistical and machine learning models to simulate and predict risk scenarios, enabling proactive risk management strategies.
• Analyze large and complex datasets to identify trends, anomalies, and emerging risks that could impact business operations.
• Translate analytical insights into actionable recommendations, supporting strategic decision-making and risk mitigation efforts.
• Create and maintain interactive dashboards and visualizations to communicate findings effectively to stakeholders at all levels.
• Collaborate with data engineers to ensure the integrity, cleanliness, and integration of data sources used for analysis.
• Continuously refine models and analytical techniques to adapt to evolving risk landscapes and business needs.
• Stay updated with the latest advancements in data science, AI, and machine learning to incorporate best practices into projects.

Benefits

• Competitive salary ranging up to £70,000, commensurate with experience and expertise.
• Flexible working arrangements to support work-life balance and personal commitments.
• Equity options, offering an opportunity to share in the company's growth and success.
• Engagement in impactful projects within a high-growth, innovative environment.
• Access to ongoing learning and professional development opportunities.
• A collaborative and inclusive workplace culture that values diversity and innovation.

Equal Opportunity Tenth Revolution Group is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected characteristic. We believe that a diverse workforce enhances our creativity and innovation, and we are dedicated to providing equal employment opportunities to all applicants and employees.