At a Glance
- Tasks: Join our Data Science team to develop innovative models for marketing and commercial solutions.
- Company: Haleon is a leading consumer health company focused on improving everyday health globally.
- Benefits: Enjoy a hybrid work environment, flexible hours, and a culture that values diversity and inclusion.
- Why this job: Be part of a collaborative team shaping the future of health with cutting-edge data science.
- Qualifications: MS or PhD in Data Science or related field; strong experience in machine learning and programming.
- Other info: We celebrate diversity and offer equal opportunities for all applicants.
The predicted salary is between 48000 - 84000 £ per year.
Hello. We’re Haleon. A new world-leading consumer health company. Shaped by all who join us. Together, we’re improving everyday health for billions of people. By growing and innovating our global portfolio of category-leading brands – including Sensodyne, Panadol, Advil, Voltaren, Theraflu, Otrivin, and Centrum – through a unique combination of deep human understanding and trusted science. What’s more, we’re achieving it in a company that we’re in control of. In an environment that we’re co-creating. And a culture that’s uniquely ours. Care to join us. It isn’t a question.
This is a unique opportunity to join our high performing Data science team
Hybrid role 1-2 days a week onsite at Bankside, London.
Key Responsibilities
- Participate in creating, evolving, and developing data science models for Commercial, Marketing, and Digital
- 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, both for computing performance (such as CPU & memory usage) and for ML performance
- Support the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
- Manage the whole lifecycle of our machine learning models, including monitoring, gathering data for retraining, and redeployments
- Leverage third-party and syndicated data to provide value-added learnings on trade promotions, pricing, distribution, and digital shelving to key stakeholders and specifically for joint business operations
- 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 and influence them of 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
- 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.
- Strong industry experience with developing machine learning models and creating software pipelines to build and make predictions with those models
- Very good understanding of machine learning approaches and algorithms
- Deep understanding of Statistical/Probabilistic programming and Linear Algebra
- Be an expert in (Python, R, SQL) programming for Data Science and Time Series analysis
- Have in depth understanding of statistical modelling / ML techniques for time series forecasting (ARIMA, ETS, Prophet, Time Series pattern detection, and ML methods)
- Strong experience with Causal inference, Intervention analysis, Counterfactuals Estimation, Optimization and Scenarios simulation
- Solid experience with Probabilistic Programming and Bayesian Methods
- Experience using machine learning frameworks such as scikit-learn, Pymc, TensorFlow, PyTorch, Databricks ML, Keras etc…, Experience with ML at scale
- Experience coordinating projects across diverse teams.
- Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team
- Strong communication skills including to non-technical audiences
At Haleon 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. 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.
Haleon is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
If you require a reasonable accommodation or other assistance to apply for a job at Haleon at any stage of the application process, please let your recruiter know by providing them with a description of specific accommodations you are requesting. We’ll provide all reasonable accommodations to support you throughout the recruitment process and treat all information you provide us in confidence.
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Senior Data Scientist employer: GSK Group of Companies
Contact Detail:
GSK Group of Companies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarize yourself with Haleon's portfolio of brands and their market strategies. Understanding how data science can impact these areas will help you demonstrate your value during discussions.
✨Tip Number 2
Showcase your experience with machine learning frameworks like TensorFlow or PyTorch in practical scenarios. Be ready to discuss specific projects where you've successfully implemented these technologies.
✨Tip Number 3
Prepare to discuss your approach to collaboration and mentorship, as teamwork is emphasized in the role. Think of examples where you've effectively worked with cross-functional teams or guided junior colleagues.
✨Tip Number 4
Highlight your understanding of statistical modeling and causal inference techniques. Be prepared to explain how you've applied these methods to derive insights from data in previous roles.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Data Scientist position at Haleon. Understand the key responsibilities and qualifications required, and think about how your experience aligns with these.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, machine learning, and statistical modeling. Make sure to include specific projects or achievements that demonstrate your expertise in Python, R, SQL, and any machine learning frameworks you've used.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also reflects your understanding of Haleon's mission and values. Mention how you can contribute to their data science team and support their goal of improving everyday health.
Showcase Collaboration Skills: In your application, emphasize your ability to work collaboratively within cross-functional teams. Provide examples of past experiences where you successfully influenced stakeholders or contributed to team projects, as this is a key aspect of the role.
How to prepare for a job interview at GSK Group of Companies
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning models and programming languages like Python, R, and SQL. Highlight specific projects where you've successfully implemented these skills, especially in time series analysis and statistical modeling.
✨Demonstrate Collaboration Experience
Since teamwork is crucial at Haleon, share examples of how you've worked with cross-functional teams. Discuss your role in collaborative projects and how you influenced stakeholders to achieve business objectives.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to tackle complex data science problems. Be ready to explain your thought process in developing solutions, including how you would evaluate model performance and manage the lifecycle of machine learning models.
✨Emphasize Ethical AI Practices
Haleon values responsible AI and good governance. Be prepared to discuss your understanding of ethical considerations in data science and how you have implemented or would implement these practices in your work.