At a Glance
- Tasks: Lead advanced analytics projects and develop innovative data science methodologies.
- Company: Join a forward-thinking company focused on impactful data solutions.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role in a collaborative environment with excellent career advancement potential.
- Why this job: Make a real difference by transforming data into actionable insights.
- Qualifications: 5+ years in data science with strong skills in Python or R.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities
- Lead and execute clinical and operation advanced analytics or system improvements.
- Develop novel data science methodologies to generate deep insights from disparate data sources.
- Provide subject matter expertise to teams in identification and application of the right data science methodology for a business problem.
- Formulate the right business problem in collaboration with business and create necessary analysis plans.
- Develop machine learning methodologies both supervised and unsupervised as appropriate to the business problem.
- Develop scalable and robust code in relevant language such as R or Python in support of data science projects.
- Perform exploratory data analysis, system design analysis, integration design analysis, database design analysis to generate insights and help answer business questions.
- Ensure the life cycle management of the models is maintained through code repositories and version control tools.
- Perform data engineering, data preprocessing and data wrangling activities utilizing different approaches such as SAS, SQL, NOSQL, graph models.
- Perform thorough validation of the machine learning output to ensure a high-quality work product.
Education and Experience Requirements
- Individual should have a minimum of 5 years’ experience with relevant master’s degree in data science, statistics, Informatics, operations research, computer science, engineering or information systems or a related discipline.
- Data science and visualization i.e., building data ecosystem and pipelines, data processing, data wrangling and analytics (reports, BI dashboards, ML models) and with SQL and Python or R programming knowledge.
- Proven ability to translate and influence business requirements against existing analytics and data integration capabilities whilst identifying capabilities challenges and necessary solutions to ensure realistic goal setting for future analytics modelling.
- A proven record in shaping and delivering key programs that optimized performance and delivered project support in matrix environments is required.
- Experience in advanced analytics processes including gaining insight from structured and unstructured data, predictive modelling and optimization and associated systems/database infrastructure.
- Strong working knowledge of traditional statistical methodologies.
- Strong working knowledge of machine learning methodologies, both supervised and unsupervised learning methods.
- High proficiency in either Python or R.
- Familiarity of best practices in machine learning model development, validation and deployment.
- Solid understanding of life cycle management of the code and code repositories.
- Extensive experience with data wrangling, data preprocessing and data engineering techniques on large datasets.
- Technical expertise, preferably in pharmaceutical clinical or a regulated industry operation, with extensive experience gained through working with diverse and complex data integration, warehousing and ingestion.
This role is not eligible for UK visa sponsorship.
ICOA Advanced Insights - Remote in Reading employer: IQVIA
Join a forward-thinking company that values innovation and collaboration, offering a remote work environment that fosters flexibility and work-life balance. With a strong commitment to employee growth, we provide opportunities for continuous learning and development in advanced analytics and data science methodologies. Our inclusive culture encourages creativity and empowers you to make a meaningful impact on business outcomes while working with cutting-edge technologies.
StudySmarter Expert Advice🤫
We think this is how you could land ICOA Advanced Insights - Remote in Reading
✨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 ICOA Advanced Insights - Remote 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 ICOA Advanced Insights - Remote 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 ICOA Advanced Insights - Remote in Reading
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.
