Lead Data Scientist: Statistical Methods & Global Analytics in London

Lead Data Scientist: Statistical Methods & Global Analytics in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
IQVIA

At a Glance

  • Tasks: Lead analytic workstreams and develop statistical methods using cutting-edge technology.
  • Company: IQVIA, a leader in global analytics and healthcare solutions.
  • Benefits: Competitive salary, career growth, and the chance to work on global projects.
  • Other info: Dynamic environment with opportunities for professional development.
  • Why this job: Make a real impact in healthcare with innovative data science techniques.
  • Qualifications: BSc or MSc in Statistics/Biostatistics and strong SAS and R skills.

The predicted salary is between 60000 - 80000 £ per year.

IQVIA is seeking a Data Scientist based in Greater London to lead analytic workstreams using cutting-edge technology. Candidates will engage in developing statistical methods, preparing analysis plans, and conducting quality control of statistical work.

The ideal applicant will have a BSc or MSc in Statistics/Biostatistics, experience with real-world databases, and strong SAS and R programming skills.

If you're looking to grow your career with global projects in a dynamic environment, apply today.

Lead Data Scientist: Statistical Methods & Global Analytics in London employer: IQVIA

IQVIA in Livingston, Scotland is an excellent employer that fosters a collaborative team environment and prioritises employee growth through outstanding career development opportunities. Working as a Lab Operations Assistant here not only allows you to contribute to meaningful projects but also ensures you are part of a supportive workplace that values safety and professionalism.

IQVIA

Contact Details:

IQVIA Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Scientist: Statistical Methods & Global Analytics in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like IQVIA!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Scientist: Statistical Methods & Global Analytics at IQVIA.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like IQVIA.

Apply Directly through Our Website

When you find a suitable opening like Lead Data Scientist: Statistical Methods & Global Analytics at IQVIA, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Lead Data Scientist: Statistical Methods & Global Analytics in London

Communication Skills
SQL
Python
Problem-Solving Skills
Automation
Attention to Detail
Data Governance

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at IQVIA, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at IQVIA. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at IQVIA

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at IQVIA!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.