Principle purpose of the role The Senior Data Scientist supports the management of the Bioscript Data Insights team and supports the development and execution of data insights within the Bioscript Group. The Senior Data Scientist plays a pivotal role in helping shape our data strategy, designing, and implementing advanced data analytics solutions. Key Responsibilities/Accountabilities Leadership and Strategy: Manage data scientists, providing mentorship, guidance, and fostering a collaborative and innovative environment. Excellent leadership, communication, and interpersonal skills. Provide supervision and mentorship to junior data scientists, fostering a culture of growth and excellence. Assist the Lead in defining, prioritising and executing the data science strategy in alignment with the company's goals and mission. Collaborate with cross-functional teams to identify opportunities for data-driven insights across research, development, and commercialisation. Communicate evolving data science strategies and outcomes clearly to stakeholders, ensuring a shared understanding. Convey findings to organisational decision-makers, facilitating the integration of data insights into strategic planning. Establish and enforce standard practices around delivery processes with version and change control. Stay current with emerging trends, techniques, and technologies in data science to drive innovation within the company. Data Analysis and Modelling Employ diverse data sources to conceptualise and construct advanced models and algorithms, addressing intricate business challenges. Transform business issues into machine-learning problems, using domain knowledge to define suitable approaches. Demonstrate expertise in various machine learning algorithms, NLP, steering the team towards judicious algorithm selection and implementation. Prepare raw data for modelling by executing comprehensive pre-processing techniques. Train, validate, and assess machine learning models to ensure robust performance. Devise, manage, and deploy data science pipelines and applications, aligning them with the organisations long-term vision. Strategically communicate and disseminate data and insights by leveraging cutting-edge data visualisation techniques. This enhances the accessibility and impact of data-driven findings. Ensure the excellence of data science products delivered by the team through rigorous quality assurance practices. Employ diverse methods including SQL queries, web scraping, and API calls to aggregate data from multiple sources. Interpret data trends and patterns to drive informed decision-making. Education / Experience Ph.D. or masters degree in data science Proven track record of leading data science projects Strong expertise in data engineering, NLP, machine learning, statistical analysis, data mining, or data visualisation techniques. Proficiency in programming languages such as Python, R, and experience with relevant libraries and frameworks, and data pipeline tools like Fabric, Databricks or Snowflake. Familiarity with database management and database design, data layout for data lakes, and data engineering best practices. Familiarity with biological and clinical data types and their challenges Excellent leadership, communication, and interpersonal skills.