Data Scientist

Role: Data Scientist

Business Unit: Bioscript Data Insights

Location: Glasgow, Scotland (Hybrid)

About Us

Established in 2005, Bioscript Group is formed from multiple, specialist businesses to support our global pharmaceutical clients; we draw on their multidisciplinary expertise to help navigate critical decisions at key points in the product lifecycle.

Our scientific and strategic expertise help our clients make better decisions. We provide medical communication services, market access consulting and regulatory writing support with deep domain expertise to effectively navigate complex disease areas.

The Opportunity

The Data Scientist supports the delivery of the Bioscript Data Insights team and supports the development and execution of data insights within the Bioscript Group. The Data Scientist plays a pivotal role in helping shape our data strategy, designing, and implementing advanced data analytics solutions.

Key Responsibilities

Leadership and Strategy:

• Providing mentorship, guidance, and fostering a collaborative and innovative environment.
• Excellent leadership, communication, and interpersonal skills.
• Provide supervision and mentorship to other data scientists, fostering a culture of growth and excellence.
• 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
• Proven track record of leading data science projects
• Strong expertise in data engineering, NLP, machine learning, statistical analysis, data mining, or data visualisation techniques.
• Strong experience with Git-based version control (GitHub/GitLab), including branching, merging, and collaborative code management.
• 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 biological and clinical data types and their challenges
• Excellent leadership, communication, and interpersonal skills.

Our people are at the heart of our business

We are focused not just on delivering the exceptional for our clients, but for our teams too. Understanding everyone is different and we believe in treating everyone as an individual with opportunities to develop your skills and career around our disciplines.

Our benefits include:

• Salary which aligns with your experience and skillset
• 25 days holiday + bank holidays + winter shutdown + holiday purchase scheme
• Enhanced sick and compassionate leave
• Enhanced maternity, paternity & adoption leave
• Birthday charity donation to a charity of your choice
• Bonus Day off to be spent giving back to the community
• Life Insurance and Critical Illness cover
• Private Medical (Vitality for UK based colleagues)
• Health cash plan or wellbeing allowance
• International Employee Assistance Program

We are committed to creating an inclusive and diverse workplace. We encourage applications from all individuals who meet the minimum requirements of the role. If you require any reasonable adjustments during the application or interview process, please contact us via or by calling