The Role

The Senior Data Scientist supports the management, development and execution of the Data Insights Team by playing a pivotal role in helping shape our data strategy, designing, and implementing advanced data analytics solutions for the whole Bioscript Group.

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 organisation’s 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.

About You

• Ph.D. or master’s degree in data science and/or significant industry specific experience
• 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.

Company standards

• Promote Bioscript’s mission and vision; and live the company values in all that you do
• Conduct oneself in accordance with Bioscript’s Code of Conduct as laid out in the Employee Handbook
• To encourage flexibility within the company, from time to time you may be required to perform other duties/tasks as may reasonably be required.

Bioscript values

• We strive for excellence
• We connect authentically
• We are enthusiastically curious
• We own the work
• We do it for patients

More information about working at Bioscript Group can be found atCareers at Bioscript Group | Medical Communications Jobs

Please note, we are not looking to engage with recruitment agencies on this role, any candidate CVs sent via an agency will not be considered.