Senior Data Scientist

Haleon; City Of London; On-site; GBP 50,000 - 65,000; Full time

Job summary

A global consumer healthcare company is seeking a Data Scientist to join its AI & Data Science team. The successful candidate will develop and optimise data science models, collaborate closely with interdisciplinary teams, and contribute to achieving strategic business objectives. A Master's or PhD degree along with 3-5 years’ experience in machine learning and programming expertise are essential. This role offers an opportunity to work in a dynamic and innovative environment.

Qualifications

• 3-5 years of industry experience with developing machine learning models.
• Experience with supply chain modelling and optimisation.
• Strong understanding of machine learning algorithms.

Responsibilities

• Develop and optimise data science models for business planning.
• Collaborate with product owners, data engineers, and ML engineers.
• Support deployment of ML solutions on enterprise infrastructure.

Skills

Machine learning model development

Data science frameworks

Programming in Python

Statistical analysis

Supply chain optimisation

Time series analysis

Collaboration in teams

Communication skills

Education

MSc or PhD in mathematics, computer science, or related field

Tools

Python

R

SQL

AzureML

BigQuery

Scala

Job description

About the role

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 as we invest to build best in class data science capabilities so our AI solutions deliver impact and meet our Responsible AI requirements.

Key Responsibilities of the role

• Developing, optimise and executing data science models in the space of integrated business planning (forecasting, scenario modelling and simulation, quantitative assessment, optimisation).
• Work closely with product owners, data engineers and machine learning engineers to deliver high quality data science solutions for a set of relevant industrial problems.
• Work on a variety of datasets to train and validate machine learning models.
• Define and implement metrics to evaluate the functional performance, and the computational resource efficiency of ML and AI components.
• Support the deployment of ML solutions on the enterprise infrastructure, in line with ML engineering standards and best practices (version control, testing, deployment, maintenance).
• Manage the whole lifecycle DS/ML models, monitoring, gathering data for retraining, and update.
• Potentially leverage external data to boost model performance.
• Perform code reviews and ensure excellent code quality.
• Collaborate with colleagues in the Data Science team to develop technical excellence. Collaborate with squad members from different teams to develop understanding of the broader business and data context.

Essential Qualifications & Skills

• MSc or PhD degree in mathematics, computer science, statistics, physics, engineering, or another scientific discipline that provides solid foundations on relevant aspects of Data Science.
• 3-5 years of industry experience with developing machine learning models and creating software pipelines for their execution.
• Experience with supply chain modelling and optimisation.
• Experience and strong understanding of machine learning algorithms, mathematical modelling and industrial applications of AI.
• Scientific mindset and ability to conceptualize, prototype and implement algorithms to solve complex business problems.
• Professional-level programming experience with Python, R, SQL.
• Good working knowledge of cloud-based and local data science frameworks and environments.
• Strong experience with time series analysis, modelling and forecasting, hierarchical reconciliation.
• Initiative and ability to work independently and collaboratively within a cross-functional team.
• Strong communication skills for technical and non-technical audiences.

Desirable Qualifications & Skills

• Experience with process mining, process optimisation, optimal control, reinforcement learning, multi-objective optimisation, deep learning.
• Experience with leading data science projects.
• Experience with the Microsoft Azure tech stack, AzureML, BigQuery and Scala.
• Exposure to Agile.

People and Team management

• Contribute to a highly collaborative team with a culture of ownership, initiative and responsibility.
• Work closely with key stakeholders to determine business objectives.
• Contribute to the development of our Team’s data science toolbox of reusable DS, ML, and AI assets.
• Motivate, coach, mentor colleagues within the Data Science Team to develop technical excellence.
• Proactive engagement in personal development and development of the direct reports.

Care to join us. Find out what life at Haleon is really like at www.haleon.com/careers.

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.

Accommodation Requests: 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.