At a Glance
- Tasks: Drive data innovation and analytics for global pharmaceutical clients using cutting-edge tools.
- Company: Join ICON, a leader in healthcare intelligence and clinical research.
- Benefits: Enjoy competitive salary, health coverage, and career development opportunities.
- Other info: Be part of an inclusive culture that values collaboration and innovation.
- Why this job: Make a real impact in healthcare by leveraging data to improve patient outcomes.
- Qualifications: 3-5 years of data manipulation experience and a Master's or PhD in relevant fields.
The predicted salary is between 60000 - 80000 £ per year.
ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster. As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients, and suppliers.
As a Senior Data Scientist, you will be dedicated to one of our global pharmaceutical clients, a company that values performance, recognises merit and has a high focus on quality. This environment encourages innovation, individuality and embraces people that want to be a part of it.
What You Will Do:
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Leverage business intelligence tools i.e. Spotfire for analysis and review.
- Develop custom data models and algorithms to apply to data sets.
- Provide specialist support for development, interpretation and application of machine learning models.
- Apply analytical and statistical methods to solve identified use cases in an agile manner using various data sources and analytical tools.
- Work with key stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Liaise, advise and negotiate with key customer groups on requirements and propose innovative solutions to meet their data modelling requirements.
- Be responsible for the development and implementation of capabilities to make provisioning of routine requests more routine, structured and efficient.
- Contribute to initiatives that enable faster and more effective data modelling/analysis and provisioning.
- Ensure systems and code, documentation are inspection ready.
Your Profile:
A solutions orientated, analytical and customer focused individual with a global business mindset and a strong background in operational excellence! Here at ICON we want our employees to succeed and ensure that they are set up for this success through constant training, development and support. To enable success in this position you will have:
- 3-5 years of experience manipulating data sets and building statistical models.
- A Master's or PhD in Statistics, Mathematics, or Computer Science.
- Experience using statistical computer languages Python & SQL (R considered) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Experience of clinical data and domains (Experience working within Clinical Trials or the wider Pharmaceutical industry) preferable but not necessary.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.
Employment with ICON is contingent upon having the legal right to work in the country where the role is based.
Rewards & Benefits:
ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development. Benefits may include:
- Competitive base salary and performance related incentives.
- Health and wellbeing programmes including medical, dental, and vision coverage where applicable.
- Retirement and pension plans.
- Life assurance and disability coverage.
- Employee assistance programmes and wellbeing resources.
- Learning and development opportunities through structured training and career pathways.
Benefits may vary depending on role and location. Visit our careers site to read more about the benefits ICON offers.
Inclusion and Accessibility:
ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported. If you require reasonable accommodations during the recruitment process, please let us know or submit a request here.
Senior Data Scientist in Livingston employer: IRE
At ICON, we pride ourselves on being a values-driven organisation that fosters a culture of integrity, collaboration, and innovation. As a Senior Data Scientist, you will benefit from a supportive work environment that prioritises employee growth through continuous training and development opportunities, alongside a competitive rewards package that includes health and wellbeing programmes. Join us in our mission to accelerate the delivery of new medicines and treatments, while enjoying the unique advantages of working within a global healthcare intelligence and clinical research organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Livingston
✨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 IRE!
✨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 Senior Data Scientist at IRE.
✨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 IRE.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at IRE, 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 Senior Data Scientist in Livingston
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 IRE, 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 IRE. 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 IRE
✨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 IRE!
✨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.
