At a Glance
- Tasks: Join us as a Biological Data Scientist, analysing complex datasets to drive innovation in wellbeing.
- Company: Be part of Unilever's Global Wellbeing Collective, a leader in functional nutrition brands.
- Benefits: Enjoy competitive salary, annual bonus, flexible working, and wellness support.
- Why this job: Make a real impact in health and wellness while collaborating with global teams.
- Qualifications: Masters in Statistics or Biostatistics preferred; experience with data visualisation and statistical software required.
- Other info: We embrace diversity and offer reasonable adjustments during the application process.
The predicted salary is between 30000 - 42000 £ per year.
Please Note: The deadline for applying is 23.59 the day before the job posting end date.
Job Title: Biological Data Scientist – WELLBEING COLLECTIVE
Work level: 1C/RH4
Schedule: Full time
Work level: 1C/RH4
Location: UK – Port Sunlight (Liverpool),
Function: R&D
Reports to: WORK STREAM LEADER BIOLOGICAL SCIENCE, Science & Technology
WHO ARE WE?
We are the Global Wellbeing Collective (WBC) team focused on one of Unilever’s largest growth opportunities – the €140bn Wellbeing Collective space defined by Vitamins, Minerals, and Supplements (VMS).
We work in an agile, fast-moving environment, collaboratively within the team and with our Unilever colleagues around the world. We work in a project based networked way where everyone needs to be able to take a step back and think strategically as well as rolling up their sleeves and get their hands dirty, to be entrepreneurial and experiment as well as bringing in the best of Unilever and work the structures of a large company, to take charge and lead as well as follow and support others.
OUR BUSINESS
Unilever’s Wellbeing Collective Group is a Global Business Unit within the Beauty & Wellbeing Business Group. It holds the company’s functional nutrition brands and the portfolio of brands that includes the acquired brands Nutrafol, Olly, LiquidIV, SmartyPants, Welly, Onnit and Equilibra. Each brand is completely unique and focused on giving consumers superior experiences within their respective spaces and target segments. We are committed to continue grow this strategic business for Unilever through a series of acquisitions and continued international expansion of acquired brands through Unilever’s scale and network in the markets.
JOB DESCRIPTION OVERVIEW
The Biological Data Scientist will play a critical role in the Science and Technology Team for Beauty and Wellbeing. They will be responsible for providing development and execution of Science pipeline projects for the Wellbeing Collective across a range of timescales.
The role reports to the WORK STREAM LEADER BIOLOGICAL SCIENCE and will interface with the B&W S&T Teams and the Wellbeing Collective GBU.
The role requires the ability to develop data-driven models and visualisations to identify differentiated and meaningful business opportunities from complex biological/ physiological datasets.
KEY ACCOUNTABILITIES
- As part of a larger team, use data science and modelling methods to support Well Being Innovation programs and Brands via:
- Analyses of complex multimodal and multiomic datasets
- Building and validating predictive models
- Interpretation and exploitation of analysis outcomes
- Visualisation of results and datasets
- Design and planning of future studies/experiments
- Provision of statistics, machine learning and data science expertise across a range of Wellbeing programs
- To define and develop modelling skills and capability in Wellbeing teams.
- Engagement and collaboration with Global multi-disciplinary teams including both internal and external partners.
- Responsibility for the quality and defensibility of statistical analyses, models and data interpretation.
- Engagement in continuous learning initiatives to keep abreast of state of the art analytical, statistical and machine learning methods.
- Shape and lead research activities, coach technicians and/or students
- Communicate and publish results internally and externally
WHO ARE WE LOOKING FOR?
- Demonstrated fluency in applying statistics methods in scientific research with a likely Masters in Statistics, Biostatistics or equivalent.
- Experience of applying statistical methods to complex biological, physiological and/or consumer datasets is preferred.
- Hands-on technical expertise in data visualization – understanding patterns in data
- 2-5 years research experience in a relevant field.
- Strong technical background in multivariate statistical methods.
- Ability to apply such methods to biological challenges to create tangible and actionable outcomes
- Hands-on experience with professional statistical/modelling software such as SAS, Python, R, MATLAB and JMP is essential
- Strong interpersonal skills, oral and written communication skills; the ability to frame a problem.
- Ability to collaborate and consult effectively in global teams across time-zones and cultures
- Demonstrate strong result focus and capacity to take initiative and be a self-starter.
- Excellent communication skills and capacity to convey and adapt scientific information to non-expert audiences
- Ability to manage external collaborations and projects
NOTES
About Unilever
Unilever is one of the world’s leading suppliers of Food, Home and Personal Care products with sales in over 190 countries and reaching 2 billion consumers a day. Unilever has more than 400 brands found in homes around the world, including Dove, Tresemme, Lynx, Lifebuoy, Shea Moisture, Persil, Domestos, Ben & Jerry’s, Magnum, Marmite, The Vegetarian Butcher, Graze and Pot Noodle.
Faced with the challenge of climate change and the need for human development, we want to move towards a world where everyone can live well and within the natural limits of the planet. That’s why our purpose is ‘to make sustainable living commonplace’
What We Offer
Not only do we offer a competitive salary and pension scheme, we also offer an annual bonus, subsidised gym membership, a discounted staff shop and shares. You’ll have the opportunity to work directly with our renowned and exciting brands in a flexible and hybrid working environment.
Whilst the role is advertised on a full-time basis, we would be happy to discuss possible flexible working options and what this may look like for you. We are a key advocate of wellbeing and offer a variety of support for our people including hubs, programmes and development opportunities. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all.
Diversity at Unilever is about inclusion, embracing differences, creating possibilities and growing together for better business performance. We embrace diversity in our workforce. This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.We are also more than happy to provide reasonable adjustments during our application and interview process to enable you to be present your best self. To find out more, including about our Employee Resource Groups, please click here Equity, Diversity & Inclusion at Unilever | Unilever.
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How is Unilever tackling this?
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Biological Data Scientist - WELLBEING COLLECTIVE Bebington, Vereinigtes Königreich employer: Unilever Deutschland Holding GmbH
Contact Detail:
Unilever Deutschland Holding GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Biological Data Scientist - WELLBEING COLLECTIVE Bebington, Vereinigtes Königreich
✨Tip Number 1
Familiarise yourself with the latest trends in biological data science, particularly in the context of wellbeing and nutrition. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of biological data science and wellbeing. Attend relevant conferences or webinars, and connect with current employees at Unilever on platforms like LinkedIn to gain insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your hands-on experience with statistical software such as Python or R. Be ready to share specific examples of how you've used these tools to analyse complex datasets and derive actionable insights.
✨Tip Number 4
Showcase your ability to communicate complex scientific concepts to non-expert audiences. Practice explaining your past projects in simple terms, as this skill is crucial for collaboration within diverse teams at Unilever.
We think you need these skills to ace Biological Data Scientist - WELLBEING COLLECTIVE Bebington, Vereinigtes Königreich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Biological Data Scientist role. Focus on your statistical methods expertise, data visualisation skills, and any hands-on experience with software like Python or R.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the Wellbeing Collective and how your background in biological data science can contribute to their goals. Mention specific projects or experiences that demonstrate your ability to analyse complex datasets.
Showcase Your Communication Skills: Since the role requires strong communication abilities, include examples of how you've effectively conveyed complex scientific information to non-expert audiences. This could be through presentations, publications, or collaborative projects.
Highlight Collaborative Experience: Emphasise your experience working in global teams and your ability to collaborate across cultures and time zones. Provide examples of successful teamwork in previous roles, especially in research or data-driven projects.
How to prepare for a job interview at Unilever Deutschland Holding GmbH
✨Understand the Role
Before the interview, make sure you thoroughly understand the responsibilities of a Biological Data Scientist. Familiarise yourself with the key accountabilities mentioned in the job description, such as data analysis, model building, and collaboration with global teams.
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with statistical and modelling software like SAS, Python, R, or MATLAB. Bring examples of how you've applied these tools to solve complex biological problems, as this will demonstrate your technical expertise.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of specific instances where you've used data-driven models to create actionable outcomes, and be ready to explain your thought process and the results achieved.
✨Communicate Clearly
Since the role involves conveying complex scientific information to non-expert audiences, practice explaining your work in simple terms. This will showcase your communication skills and ability to engage with diverse teams effectively.