Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

Bioscript Group
Glasgow
3 days ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Outside IR35

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 .

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.