Principal Consultant, Advanced Analytics - Data Science (UK)

Parexel
Uxbridge
3 weeks ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Recruitment Consultant (Progression to Director)

Data Engineering Consultant

Data Engineering Consultant (multiple levels)

Data Engineering Consultant (multiple levels)

Principal Data Engineer - AWS

Principal Consultant, Advanced Analytics - Data Science (UK)

Parexel Uxbridge, England, United Kingdom

Join or sign in to find your next job

Join to apply for thePrincipal Consultant, Advanced Analytics - Data Science (UK)role atParexel

Principal Consultant, Advanced Analytics - Data Science (UK)

Parexel Uxbridge, England, United Kingdom

3 days ago Be among the first 25 applicants

Join to apply for thePrincipal Consultant, Advanced Analytics - Data Science (UK)role atParexel

Overall Summary About This Role:

The Principal Consultant, Advanced Analytics: Data Science contributes statistical capabilities and methodological leadership at all stages of projects, from planning to completion. The role involves working with junior team members in designing, developing, and delivering client solutions across multiple projects—leveraging expertise in statistical theory, data analysis and interpretation, regression analysis, machine learning, deep learning, and natural language processing techniques. Candidates should have a Masters or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or related quantitative fields. Proficiency in data analytics and statistical software/tools such as R, Stata, Python, and SAS is required.

Essential Knowledge, Experience, Skills, and Education:

  • Strong foundation in statistical concepts and methods, including predictive modeling, survival analysis, longitudinal data analysis, meta-analysis, and hierarchical analysis techniques.
  • Familiarity with machine learning techniques and Bayesian statistics is advantageous.
  • Proficiency in statistical programming with SAS, R, or STATA.
  • Excellent communication and problem-solving skills, with the ability to learn quickly and communicate effectively with both technical and non-technical audiences.
  • Ability to work independently and as part of a team, with leadership capabilities in methodological aspects of projects.

Skills:

  • Six or more years of experience in healthcare consulting or pharmaceutical industries.
  • Knowledge of machine learning applications in HEOR, including risk prediction, causal estimation, economic modeling, and data transparency.
  • Ability to work under pressure and meet deadlines.
  • Strong scientific writing, presentation skills, and attention to detail.
  • Fluent in written and spoken English.
  • Proficiency in SAS (Base, Stat, Graph, Macro), R, SPSS, STATA, and Python.

Education:

  • MSc or PhD in Data Science, Medical Statistics, Computational Biology, Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or similar fields. Proficiency in data analytics and software such as R, Stata, Python, and SAS is required.

Key Accountabilities:

Project Execution

  • Lead project teams in designing, developing, and delivering client solutions across multiple projects.
  • Contribute to the development of client deliverables and strategic recommendations.
  • Provide advice and support to clients and manage existing business accounts, identifying new opportunities.
  • Mentor and develop team members to achieve high standards.
  • Ensure quality standards and methodological advancements are implemented.
  • Foster thought leadership in Advanced Analytics and collaborate with senior management to identify new service opportunities.

Additional Responsibilities

Ensure efficient project execution, maintain client relationships, support business growth, and contribute to the continuous improvement of the business unit. Support innovation in health outcomes analysis, including supervised/unsupervised learning, deep learning, natural language processing, and other advanced techniques. Note that VISA sponsorship is not supported for this role.

Seniority Level

  • Director

Employment Type

  • Full-time

Job Function

  • Research and Consulting

Industries

  • Pharmaceutical Manufacturing

J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Jobs Careers

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

Jobs

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.