Haleon is a global leader in consumer health that combines innovation, deep human understanding and trusted science to improve the health of millions of consumers across the globe. Diversity, equity, and inclusion is at the heart of our purpose to deliver better everyday health with humanity. We are delighted to partner with Women in Data to further promote the important role of women within the innovative and exciting world of data.
The dynamic importance of data will continue to evolve and impact our everyday lives and our business. This evolution will drive our need for more accurate data, both to set organisations up for success and to enable better, more personal, engagement with customers and consumers. This will be supported by the steps being taken by the UK government to increase the amount of data available to businesses, allowing for greater insights into customer behaviour, market trends, and other important factors.
Increased trust in data will be critical, with predictive analytics driving deeper human understanding and delivering more meaningful health interactions. A more insightful use of data will drive an increase in personal health engagements, with innovations such as generative Artificial Intelligence (AI) and Machine Learning (ML) at the forefront. As innovations become more widespread data for good and data lineage will become increasingly important, supported by legislation informing the responsible and ethical use of AI to build and maintain consumer and business confidence.
Haleon (LSE / NYSE: HLN) is a global leader in consumer health, with a purpose to deliver better everyday health with humanity. Haleon’s product portfolio spans five major categories – Oral Health, Pain Relief, Respiratory Health, Digestive Health and Other, and Vitamins, Minerals and Supplements (VMS). Its long-standing brands – such as Advil, Sensodyne, Panadol, Voltaren, Theraflu, Otrivin, Polident, Parodontax and Centrum – are built on trusted science, innovation, and deep human understanding.
For more information, please visit www.haleon.com.
Educational Background:
2022-2024: MSc Degree Apprenticeship (Digital and Technology Solutions Specialist – Data Analytics)
2019-2022: BSc Statistics
Social media:
Experience to date:
Rhae graduated from UCL in 2022 with a degree in Statistics, where she had a special interest in medical statistics, and developed an enjoyment for coding. This ultimately led her to explore the field of data science, an avenue she had not previously considered.
Joining Haleon as a Level 7 data science apprentice in 2022, Rhae worked on various projects covering digital asset management, supply chain optimisation, and now focuses on Generative AI. She has played a key role in the development of an internal language translation tool, now operational in 22 languages. The tool is designed to cut down time and costs while enhancing the quality of translations, centralising the translation process.
Throughout her time at Haleon, Rhae has appreciated the supportive environment, considering it a privilege to work in a diverse team with inspiring female role models.
Educational background: Malwina graduated Library and Information Science, specializing in Archiving and Digitization of Documents on Jagiellonian University in Cracow (Poland). Then she completed postgraduate studies in Lean Management & Lean Office. She is also Lean Six Sigma Green Belt certified.
LinkedIn: LinkedIn – Malwina Angerman-Kowalska
Experience:
Malwina has started her professional career in 2012 as an Archiving Specialist in BNP Paribas Bank. Her knowledge about archiving processes and striving to improve the operation of the archive area, contributed to taking substantive leadership in the project of inventorying and optimizing the archive area. The project included creating a dedicated archiving application from the scratch, integrated with other banking systems. Malwina was the key point of contact and working closely with developers team to create the tool that met business requirements in accordance with internal and external regulations.
Over the following years, she deepened her experience in the energy industry. Then ran her own consulting company and supported entrepreneurs in implementing effective processes for managing the data life cycle and information flow, including archiving.
Malwina joined Haleon, (which was part of GSK Consumer Healthcare at the time), with + 10 years’ of experience in archiving and information management, in 2022 as an Enterprise Data Archive Management lead, part of Data Office. She led the implementation of the first enterprise archiving solution for Haleon and archived data migration during the separation from GSK.
Malwina leads the team of archivists and developers, to provide solutions and improve archiving process to meet all business needs.
Educational background: BSc Business Information Systems (University of Hertfordshire)
PRINCE2 Certified Practitioner, AgilePM Certified Practitioner, Registered Product Owner
LinkedIn: LinkedIn – Estella Bryan
Experience: Estella is a Product Owner with a unique blend of expertise and a passion for analytics-driven solutions. Estella has a background in client services from which she ‘accidently’ shifted into the data field. Estella excels at understanding user needs, communicating effectively with both technical and non-technical stakeholders, and translating complex technical ideas into understandable concepts.
Estella is experienced in leading agile squads and building data products using various technologies. In 2022, she moved to Haleon and has since worked on several creative initiatives spanning from forecasting and analytics tools to her current focus of developing foundational data products for enterprise reporting in the Sustainability area.
As a fan of technical innovation, Estella is always excited to meet other women in the data space and looks forward to seeing more women from all backgrounds rise through the ranks in the future, embodying the mantra “be the change you want to see.
Education:
BSc – Pharmaceutical Chemistry
Social Media Details: Simrat Kaur Bariah | LinkedIn
Experience:
Simrat started her career in 2016 with Haleon (which was part of GSK Consumer Healthcare at the time) and has experience in Quality Management, Logistics and Supply Chain. Here she developed an interest in data analysis which she combined with her experience to drive process improvements across departments to optimise the flow of materials and information.
Simrat joined the Data Office in 2022 as a Data Management Subject Matter Expert (SME). She leads a team of analysts and is focused on business support for all things Master Data Management and continuous improvement projects.
Simrat is passionate about personal and professional growth. She actively challenges gender norms as a South Asian mother, role modelling to her daughter that you can have a successful career whilst being a loving and devoted mother.
Education:
PhD (Computation Fluid Dynamics and Flow Control)- Imperial College London
MSc Advanced Computational Methods for Aeronautics, Flow Management and Fluid-Structure Interaction – Imperial College London
BSc Economics and Mathematics – Royal Holloway University London
LinkedIn: LinkedIn – Olga Evstafyeva
Experience: Olga comes from academic background, having completed her doctoral studies at Imperial College where she researched computational fluid dynamics and flow control. Since finishing her studies, she was looking for opportunities in the industry which would allow her to use her research skills and stay at the forefront of innovation. Data Science was a natural path to develop career in an exciting and innovative field. Since leaving academia Olga worked in a range of industries: from large infrastructure, to finance to now consumer health.
At Haleon, Olga leads Data Science initiatives in the Net Revenue Management space, helping to shape and build solutions to support commercial excellence teams. Olga’s interests lie in ethical AI and building high functioning Data Science teams which operate in environment of psychological safety and challenge, finding creative ways to solve problems posed by the real world.
Education: Yaru has computer science background with further specialised with MSc Computational Finance in big data area and MSc Networked Systems in distributed computing area
Linkedin: LinkedIn – Yaru Yi
Experience: With a business-oriented mindset and a focus on production, Yaru had been in telecommunication company for 5 years dealing with big data before joining Haleon in 2020 as a Senior Machine Learning Engineer. There, she played a pivotal role in expanding machine learning engineering teams, establishing best practices, standards, and work methodologies. She facilitated collaboration between data scientists, machine learning engineers, and data engineers, leading to efficient AIML productionization. Now transitioning into the role of Machine Learning Architect, her aim is to optimize AI/ML development and production processes, striving for efficiency, scalability, and consistency across initiatives, ultimately enhancing quality and saving resources.
Yaru believes a production-focused approach to AIML, combined with inclusive working environment, fosters efficiency and value delivery.
