At a Glance
- Tasks: Lead data-driven projects and develop algorithms to solve real-world business problems.
- Company: Join GSK, a pioneering company transforming consumer healthcare with data science.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with exciting career advancement opportunities.
- Why this job: Be a key player in shaping the future of healthcare through innovative data solutions.
- Qualifications: Masters in Data Science or related field; experience with machine learning and data analysis.
The predicted salary is between 63000 - 77000 £ per year.
Are you a Data Scientist looking for a new, exciting business critical opportunity? If so, read on...
GSK are seeking a highly talented Data Scientist to join a passionate team working to support GSK Consumer Healthcare in its journey to becoming a more data-driven and innovative organisation. Data is a key tenet underpinning our transformation journey following the joint venture with Pfizer this year and our 3-year plan to become a separate company. As such, you have the opportunity to be a key driver of our success.
Key Responsibilities
- Have the ability to conceptualize, formulate, prototype and implement algorithms to capture customer behaviour and solve business problems.
- Ability to communicate complex data science concepts.
- Practical experience developing and implementing machine learning on large data sets.
- Knowledge in mining large & complex data sets using SQL, Hadoop, NoSQL or Spark.
- Understanding of statistical modelling techniques and the mathematical foundations of applied ML and AI algorithms and models.
- Explore cutting edge ML techniques to discover patterns and predictions to help solve customer needs.
- Contribute to complex and diverse projects to leverage Data Science techniques which will result in measurable commercial benefit.
What are we looking for?
- Masters Degree (Data Science, Maths, Science, Computer Science) or equivalent.
- Working knowledge of cloud based and local data science frameworks and toolkits.
- Exposure to Agile methodologies and the hypothesis-driven approach.
- Have a practical understanding of machine learning, Deep Learning.
- Strong experience with Time series forecasting (ARIMA, ETS, Prophet, TS pattern detection, and ML methods).
- Strong experience with Causal inference, Intervention analysis and Scenarios simulation.
- Experience in developing probabilistic models.
- Proficient understanding of probability and statistics (esp. Bayesian methods).
In Consumer Healthcare we embrace our diverse workforce by creating an inclusive environment that celebrates our unique perspectives, generates curiosity to create unmatched understanding of each other, and promotes fair and equitable outcomes for everyone. We're striving to create a climate where we celebrate our diversity in all forms by treating each other with respect, listening to different viewpoints, supporting our communities, and creating a workplace where your authentic self belongs and thrives.
As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Data Scientist in Brent employer: Gsk
GSK is an exceptional employer located in Greater London, offering a dynamic and inclusive work environment that fosters innovation and collaboration. As a Senior FinOps Product Manager, you will have the opportunity to drive impactful projects while benefiting from robust employee growth opportunities and a culture that values diverse perspectives. With a commitment to professional development and a focus on agile methodologies, GSK empowers its employees to thrive in their careers while contributing to meaningful advancements in cloud financial management.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Brent
✨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 Gsk!
✨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 Data Scientist at Gsk.
✨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 Gsk.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Gsk, 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 Data Scientist in Brent
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 Gsk, 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 Gsk. 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 Gsk
✨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 Gsk!
✨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.
