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- Tasks: Transform data into powerful insights that drive global change and influence key business decisions.
- Company: Join Unilever UK, a leader in innovation and sustainability.
- Benefits: Attractive salary, performance bonuses, health insurance, and remote work options.
- Other info: Dynamic environment with excellent career growth and continuous learning opportunities.
- Why this job: Make a real impact using cutting-edge technologies and advanced analytics.
- Qualifications: Degree in Data Science or related field with strong coding skills.
The predicted salary is between 60000 - 95000 £ per year.
If you are passionate about transforming data into powerful insights that drive global change, the Data Scientist opening at Unilever UK is the perfect opportunity. This role offers the chance to work with cutting-edge technologies, big data tools, and advanced analytics to influence key business decisions across brands that touch billions of lives worldwide. This is your moment to join a company that values innovation, inclusion, and the power of data-driven thinking.
As a Data Scientist at Unilever UK, you'll play a vital role in delivering data-based strategies that enhance decision-making, product innovation, and sustainability. You'll work alongside talented professionals in data engineering, marketing, operations, and R&D to help transform vast data sources into actionable insights.
Key Responsibilities:- Develop predictive and prescriptive models using machine learning and AI.
- Collect, analyze, and visualize data to support strategic initiatives.
- Collaborate with business stakeholders to define analytical needs.
- Use Python, R, or SQL for data mining, cleaning, and modeling.
- Communicate findings and insights clearly to non-technical teams.
- Ensure ethical data usage and maintain data security standards.
The role blends technical expertise with creativity — helping Unilever stay ahead in consumer trends, sustainability, and global operations.
Requirements for Data Scientist Unilever UKTo qualify for the Data Scientist Unilever UK role, applicants should possess strong analytical and problem-solving abilities, combined with hands-on experience in statistical modeling and data manipulation.
Minimum Requirements:- Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related discipline.
- 2–5 years of professional experience in data science or analytics.
- Strong programming skills in Python, R, or SQL.
- Proficiency in machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
- Experience with data visualization tools like Power BI, Tableau, or Looker.
- Familiarity with cloud-based analytics (AWS, GCP, or Azure).
- Excellent communication and presentation skills.
- Knowledge of statistical techniques and time-series analysis.
- Experience working with marketing, supply chain, or customer data.
- Understanding of MLOps and automated data pipelines.
Unilever values diversity and encourages applications from individuals across all backgrounds who share a passion for data and innovation.
Salary & Benefits for Data Scientist Unilever UKThe Data Scientist Unilever UK role offers one of the most attractive salary packages in the UK's data analytics industry.
Expected Salary Range:Between £60,000 – £95,000 per year, depending on qualifications and experience.
Additional Benefits Include:- Annual performance bonus and stock options.
- Health, dental, and vision insurance.
- Pension and retirement savings plans.
- Paid time off, holidays, and parental leave.
- Remote and hybrid working options.
- Continuous learning and development programs.
- Access to Unilever's global innovation labs and AI training resources.
Unilever believes in investing in its people — giving you the tools, technology, and freedom to grow your career while making an impact.
How to Apply – Unilever Careers LinkTo apply for the Data Scientist Unilever UK role, follow the official application process on the Unilever Careers portal. Steps to apply include:
- Visit the official Unilever Careers website.
- Type "Data Scientist UK" in the search bar.
- Select the relevant opening and read the job description carefully.
- Click Apply Now to begin your online application.
- Create or log in to your Unilever account.
- Upload your resume, complete your profile, and submit.
- After submission, shortlisted candidates will be contacted for interviews, which may include technical and behavioral assessments.
The Data Scientist Unilever UK position is more than a job — it's an opportunity to turn data into a driving force for global change. You'll contribute to solving real-world challenges using the power of analytics, AI, and data visualization. If you're ready to make an impact, shape the future, and grow your career in data science, Unilever is the place for you. Don't wait — apply now and become part of Unilever's data-driven journey toward sustainability and innovation.
FAQ- Q1: What qualifications are required for the Data Scientist Unilever UK role?
You'll need a degree in Data Science, Computer Science, or related fields with strong coding and analytics skills. - Q2: Does Unilever offer remote work options?
Yes, hybrid and remote working options are available depending on the team. - Q3: What is the salary range for this role?
Typically £60,000 – £95,000 per year, depending on experience. - Q4: Are there opportunities for career growth?
Absolutely — Unilever provides global mobility and continuous learning opportunities.
Data Scientist Opening at Unilever UK in London employer: Newspaper WordPress
Contact Detail:
Newspaper WordPress Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Opening at Unilever UK in London
✨Tip Number 1
Network like a pro! Reach out to current or former Unilever 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 confidently discuss your experience with Python, R, or SQL, and be ready to showcase your problem-solving abilities with real-world examples.
✨Tip Number 3
Don’t just focus on the technical stuff; practice explaining your findings to non-technical folks. Being able to communicate complex data insights clearly is key in this role, so get comfortable with that!
✨Tip Number 4
Finally, apply through the Unilever Careers portal. It’s straightforward and ensures your application goes directly to the right people. Plus, keep an eye on their site for any updates or new openings!
We think you need these skills to ace Data Scientist Opening at Unilever UK in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at Unilever. Highlight your experience with Python, R, and SQL, and showcase any projects where you've developed predictive models or worked with big data tools.
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 Unilever's mission of driving global change through data-driven insights.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. Include details about the technologies you used and the impact your work had on decision-making or product innovation.
Follow the Application Process: Don't forget to apply through the Unilever Careers portal! Follow the steps carefully, upload your CV, and ensure your profile is complete. This shows us that you're detail-oriented and serious about the opportunity.
How to prepare for a job interview at Newspaper WordPress
✨Know Your Data Tools
Make sure you’re well-versed in Python, R, and SQL, as these are crucial for the role. Brush up on your knowledge of machine learning libraries like Scikit-learn and TensorFlow, and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses, highlighting your analytical thinking and creativity in finding solutions.
✨Communicate Clearly
Since you'll need to present findings to non-technical teams, practice explaining your insights in simple terms. Think about how you can make complex data relatable and understandable, and be ready to demonstrate this during the interview.
✨Understand Unilever's Values
Familiarise yourself with Unilever’s commitment to sustainability and innovation. Be prepared to discuss how your work as a Data Scientist can contribute to these goals, showing that you align with their mission and values.