At a Glance
- Tasks: Join our Global AI & Data Science team to develop impactful data science models.
- Company: Haleon, a purpose-driven consumer company focused on everyday health.
- Benefits: Inclusive culture, career growth opportunities, and a chance to work with top brands.
- Other info: Collaborative environment with a focus on responsible AI and mentorship.
- Why this job: Make a real difference in health with cutting-edge AI and data science.
- Qualifications: MS or PhD in Data Science or related field; experience in machine learning required.
The predicted salary is between 63000 - 77000 £ per year.
Welcome to Haleon. We’re a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we’ve grown, evolved and are now entering an exciting new chapter – one filled with bold ambitions and enormous opportunity. Our trusted portfolio of brands – including Sensodyne®, Panadol®, Advil®, Voltaren®, Theraflu®, Otrivin®, and Centrum® – lead in resilient and growing categories. What sets us apart is our unique blend of deep human understanding and trusted science. Now it’s time to fully realise the full potential of our business and our people. We do this through our Win as One strategy. It puts our purpose – to deliver better everyday health with humanity – at the heart of everything we do. It unites us, inspires us, and challenges us to be better every day, driven by our agile, performance-focused culture.
About the role: This is an exciting opportunity to join our Global AI & Data Science team. AI, Data Science and Machine learning are critical elements of our digital strategy. We are investing to build best in class data science capabilities, so our AI solutions deliver impact and meet our Responsible AI requirement.
Key Responsibilities:
- Participate in creating, evolving, and developing data science models for Marketing and Consumer Insights teams (Marketing Mix Modelling, Attribution Models, Personalisation, Digital and non-Digital marketing measurement etc).
- Work closely with product owners, data engineers and machine learning engineers to deliver high quality data science powered solutions to interesting problems.
- Help prepare datasets to train and validate machine learning models.
- Define and implement metrics to evaluate the performance of the models.
- Support the deployment of machine learning models on our infrastructure.
- Leverage third-party, syndicated and media data to provide insights on media effectiveness, creative effectiveness, promotions and pricing to key stakeholders and specifically for joint business operations.
- Drive marketing automation, e.g. audience targeting and profiling, content production, digital marketing campaigns optimization.
- Conceive and implement statistical models and Multi-Variate Tests to measure the impact of business decisions and market disruptions to surface empirical insights.
Teamwork:
- Contribute to a highly collaborative team with a culture of openness and ownership.
- Work closely with key stakeholders on business objectives.
- Enable collaboration by contributing to the development of our AI foundations and reusable assets for Forecasting, Optimization, Segmentation, Attribution Models and Experimentation.
- Perform code reviews and ensure exceptional code quality.
- Manage & mentor junior data scientists & apprentices.
- Help build a culture of responsible AI, good governance, and ethics.
Qualifications & Skills:
- MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science.
- Industry experience with developing machine learning models and creating software pipelines to build and make predictions with those models.
Data Scientist in London employer: Haleon
At Haleon, we pride ourselves on being a purpose-driven employer that champions everyday health through our renowned brands. Our agile and performance-focused culture fosters collaboration and innovation, providing employees with ample opportunities for growth and development in a supportive environment. Located in a vibrant community, we offer a unique blend of professional challenges and personal fulfilment, ensuring that every team member can thrive while making a meaningful impact on global health.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist 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 Haleon!
✨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 Haleon.
✨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 Haleon.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Haleon, 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 London
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 Haleon, 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 Haleon. 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 Haleon
✨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 Haleon!
✨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.
