Lead Data Scientist - Finance

I am looking for Lead Data Scientist role for a fast-growing finance start up on a mission to transform how individuals and businesses interact with financial data. Backed by top-tier investors, they're building intelligent, data-driven products that empower smarter financial decisions. Title - Lead Data Scientist Hybrid - 3 days onsite Location - London Key Responsibilities Lead the development and deployment of machine learning models and advanced analytics solutions. Collaborate cross-functionally to identify and prioritize data science opportunities. Build and mentor a high-performing data science team. Establish best practices for experimentation, model validation, and deployment. Communicate complex data insights to technical and non-technical stakeholders. Stay current with trends in data science, machine learning, and financial technologies. Requirements Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. 5–10 years of experience in data science, with at least 2 years in a leadership or senior role. Proven experience in a startup or fast-paced environment. Strong proficiency in Python, SQL, and data science libraries (e.g., scikit-learn, pandas, TensorFlow/PyTorch). Experience working with financial data, risk modelling, or algorithmic trading is a plus. Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stack tools (e.g., Apache Airflow, dbt, Snowflake). Excellent communication and stakeholder management skills. Must be available to work onsite in London 3 days per week. What's on Offer Competitive salary up to £110,000 (depending on experience) Equity package. Flexible working hours and hybrid work environment. Opportunity to shape the future of finance with cutting-edge technology. Collaborative, mission-driven team culture. Learning and development budget to support your growth.