Data Scientist at Haleon – London Bankside, United Kingdom
Data Scientist at Haleon – London Bankside, United Kingdom

Data Scientist at Haleon – London Bankside, United Kingdom

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our Global AI & Data Science team to drive impactful data science projects.
  • Company: Haleon, a leader in health and wellness with a focus on innovation.
  • Benefits: Flexible working culture, inclusive environment, and opportunities for professional growth.
  • Why this job: Make a real difference in AI solutions while developing your skills in a dynamic team.
  • Qualifications: 4-5 years of data science experience and proficiency in Python and SQL.
  • Other info: Embrace diversity and enjoy a supportive workplace that values your unique perspective.

The predicted salary is between 36000 - 60000 £ per year.

This is an exciting opportunity to join our Global AI & Data Science team. AI, Data Science and Machine learning is a critical part of our strategy, and we are investing to build best in class data science capabilities so our AI solutions deliver impact and meet our Responsible AI requirements.

Key responsibilities:

  • Contribute to all aspects of the Data Science Project Lifecycle, from scoping to research to development to scalable operation.
  • Coordinate and manage competing priorities across Haleon's portfolio of Commercial AI projects with focus on Net Revenue Management.
  • Work with Senior Data Scientists and product teams on the development of data science products to solve business problems.
  • Deliver Responsible AI at scale with best-in-class implementation of model explainability, reliability, security, documentation and bias mitigation in line with Haleon's Responsible AI policy and standards.
  • Research cutting-edge techniques and tools to ensure Haleon's data science solutions are competitive.
  • Motivate & coach colleagues, including apprentices and early talent within the Data Science team to help them develop technical excellence.

Qualifications and skills:

  • Will have 4-5 years' experience as a data scientist with proven ability to conceptualize, formulate, prototype and implement algorithms to solve complex business problems.
  • Can coordinate and manage competing priorities across a portfolio of projects.
  • Compile, integrate, and analyse data from multiple sources to answer business questions.
  • Experience communicating advanced data science concepts to both technical and non-technical audiences to facilitate feasibility assessment, prioritisation and adoption.
  • Have scientific mindset and understanding of statistical modelling and the mathematical foundations of Machine Learning algorithms.
  • Proficient in Python.
  • Have a deep knowledge of a sufficiently broad area of technical specialism (e.g. Time Series, Combinatorial Optimisation, Reinforcement Learning, Bayesian Statistics, NLP etc.).
  • Good knowledge in mining large & complex data sets using SQL and Spark.

Preferred:

  • Will be curious, enjoy problem solving and have empathy for the problems you are challenged with.
  • Working knowledge on data science frameworks and toolkits (Scipy, Scikit-Learn, Keras, PyTorch, etc.).
  • Experience with Git, Databricks and Microsoft Azure technical stack.
  • Prior exposure to Agile methodologies.
  • Experience building large scale machine learning systems.
  • Master's Degree in Computer Science, Data Science, Mathematics, Physics or equivalent.

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 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.

Data Scientist at Haleon – London Bankside, United Kingdom employer: Victrays

Haleon is an exceptional employer located in the vibrant London Bankside, offering a dynamic work culture that prioritises inclusivity and employee growth. As part of the Global AI & Data Science team, you will have the opportunity to work on cutting-edge projects while being supported in your professional development through mentorship and collaboration with experienced colleagues. With a commitment to Responsible AI and a flexible working environment, Haleon fosters a workplace where innovation thrives and diverse perspectives are celebrated.
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Contact Detail:

Victrays Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist at Haleon – London Bankside, United Kingdom

Tip Number 1

Network like a pro! Reach out to current or former Haleon employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Prepare for the interview by brushing up on your technical skills. Make sure you can explain your past projects and how they relate to Haleon's focus on AI and data science. Practice makes perfect!

Tip Number 3

Show your passion for responsible AI! Be ready to discuss how you’ve implemented ethical practices in your previous work. Haleon values this, so make it a key part of your conversation.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Haleon team.

We think you need these skills to ace Data Scientist at Haleon – London Bankside, United Kingdom

Data Science Project Lifecycle
Machine Learning
Algorithm Development
Statistical Modelling
Python
SQL
Spark
Model Explainability
Bias Mitigation
Data Analysis
Communication Skills
Agile Methodologies
Data Science Frameworks
Git
Microsoft Azure

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at Haleon. Highlight your experience with AI, data science, and machine learning, and don’t forget to showcase any relevant projects or tools you've worked with.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your skills align with Haleon's mission. Keep it concise but impactful!

Showcase Your Technical Skills: Since this role requires proficiency in Python and SQL, make sure to mention specific projects where you’ve used these skills. If you have experience with frameworks like Scikit-Learn or PyTorch, definitely include that too!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the info you need about Haleon there!

How to prepare for a job interview at Victrays

Know Your Algorithms

Make sure you can explain the algorithms you've worked with in detail. Be ready to discuss how you conceptualised, formulated, and implemented them to solve complex business problems. This will show your depth of knowledge and practical experience.

Showcase Your Communication Skills

Prepare to communicate advanced data science concepts clearly to both technical and non-technical audiences. Think of examples where you've successfully facilitated feasibility assessments or prioritisation discussions, as this is crucial for the role.

Demonstrate Your Curiosity

Haleon values curiosity and problem-solving. Be prepared to discuss how you've researched cutting-edge techniques and tools in your previous roles. Share specific instances where your curiosity led to innovative solutions.

Familiarise Yourself with Responsible AI

Understand Haleon's Responsible AI policy and be ready to discuss how you've implemented model explainability, reliability, and bias mitigation in your past projects. This shows that you align with their values and are committed to ethical AI practices.

Data Scientist at Haleon – London Bankside, United Kingdom
Victrays
Location: London

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