B2C Data Scientist in Crawley

B2C Data Scientist in Crawley

Crawley Full-Time 45000 - 63000 £ / year (est.) No home office possible
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Nestlé SA

At a Glance

  • Tasks: Collect and analyse data to enhance consumer experience and drive business impact.
  • Company: Join Nestlé Nespresso, a fast-growing brand known for quality and sustainability.
  • Benefits: Enjoy a competitive salary, generous pension, private healthcare, and flexible working options.
  • Why this job: Make a real difference by providing insights that shape customer experiences.
  • Qualifications: Degree in Maths or Statistics, strong analytical skills, and proficiency in SQL and Python.
  • Other info: Embrace diversity in a supportive environment with excellent career growth opportunities.

The predicted salary is between 45000 - 63000 £ per year.

Business Area: Nespresso

Location: Crawley or York (Hybrid opportunity)

Salary: Circa £45,000 depending on experience. Some of our other fantastic benefits include:

  • Potential, discretionary annual bonus
  • Generous pension scheme
  • 12 flexible days on top of 25-day holiday entitlement
  • Private Health care
  • 2 paid volunteering days
  • A focus on personal development and growth

Although this is a full-time opportunity, please speak to us about what flexibility means to you as we are always open to discuss individual’s flexible working needs, don’t let this stop you from applying.

We are recruiting for a B2C Data Scientist, a fantastic opportunity to provide insights which aim to improve our consumer experience and drive business impact. This is a permanent opportunity which will report into the Nespresso Insight Manager.

Your Impact:

  • You will be responsible for collecting and combining external and internal data (e.g., channels, key campaigns, and ongoing programmes) to generate coordinated, actionable insights.
  • Leading and supporting projects related to customer preferences, profiling, campaign performance, and personalised offer strategy.
  • Driving key business targets through active performance tracking and identifying growth opportunities, including expertise in improving acquisition, retention, and sales strategies.
  • Developing data and forecasting models to enhance personalisation and relevance across the customer journey (Web, Social, App, Retail).
  • Designing innovative solutions, methods, systems, and processes using various analytical tools.
  • Working closely with the Global HQ Data Science team to support and influence project pipelines, as well as execute global deliverables locally.
  • Collaborating with key stakeholders (CRM, Finance, Commercial, HQ) to translate analysis into actionable recommendations.

Your Ingredients for Success:

  • You will already have experience in a highly analytical, commercially focused data role with strong statistical understanding.
  • Experience within a high growth organisation and the ability to influence at all levels will also be beneficial.
  • A degree in Mathematics, Statistics, Econometrics, or Quantitative Marketing (ideally).
  • Strong quantitative skills and confidence working with large datasets.
  • Advanced proficiency in SQL, Excel, and other analytical tools.
  • Experience coding in Python (highly advantageous).
  • Ability to navigate ambiguity, create structure, and deliver value using complex data.
  • A self-starter mindset with the ability to work independently with minimal guidance.
  • Experience with omni-channel data (digital and non-digital) is beneficial.
  • Experience working in both B2B and B2C environments is an advantage.

What You Need to Know:

We will be considering candidates as they apply and we will occasionally close job advertisements early in the event we receive sufficient applicants, so please don’t delay in submitting your application.

At Nestlé, our values are rooted in respect and we believe that embracing diversity and fostering an inclusive environment allows everyone to reach their full potential and drives innovative thinking. We strongly encourage applications from individuals of all gender identities, ethnic backgrounds, those with disabilities, parents, carers and members of the LGBT+ community. Please let us know if we can provide accommodations to ensure your full participation in the application process.

B2C Data Scientist in Crawley employer: Nestlé SA

Nestlé Nespresso is an exceptional employer, offering a dynamic work environment in Crawley or York with a strong focus on personal development and growth. Employees enjoy a generous benefits package, including a competitive salary, flexible working options, and a commitment to diversity and inclusion, making it a rewarding place to build a career while contributing to a globally trusted brand.
Nestlé SA

Contact Detail:

Nestlé SA Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land B2C Data Scientist in Crawley

Tip Number 1

Network like a pro! Reach out to current or former employees at Nespresso 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 diving deep into Nespresso's values and recent projects. Show us that you’re not just another candidate; you’re genuinely interested in how you can contribute to their mission.

Tip Number 3

Practice your data storytelling skills! Be ready to explain complex data insights in a simple way. We want to see how you can make data relatable and actionable for different stakeholders.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Nespresso team.

We think you need these skills to ace B2C Data Scientist in Crawley

Data Analysis
Statistical Understanding
SQL
Excel
Python
Analytical Tools
Project Management
Customer Profiling
Campaign Performance Analysis
Personalisation Strategies
Collaboration with Stakeholders
Quantitative Skills
Omni-channel Data Experience
B2C Environment Experience
Self-starter Mindset

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the B2C Data Scientist role. Highlight your analytical skills and experience with large datasets, as well as any relevant projects that showcase your ability to drive business impact.

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 background aligns with Nespresso's mission. Don’t forget to mention your experience in both B2B and B2C environments if applicable.

Showcase Your Skills: Be sure to highlight your proficiency in SQL, Excel, and Python. If you have experience with omni-channel data, make it known! We want to see how you can bring value to our team through your technical expertise.

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 this exciting opportunity. Don’t wait too long, as we review applications on a rolling basis!

How to prepare for a job interview at Nestlé SA

Know Your Data

As a B2C Data Scientist, you'll be working with large datasets. Brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects to derive actionable insights.

Understand the Business

Familiarise yourself with Nespresso's business model and their approach to consumer experience. Think about how your analytical skills can directly impact customer preferences and campaign performance, and be prepared to share relevant examples.

Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous roles and how you navigated ambiguity to deliver value. Highlight your self-starter mindset and ability to work independently, as these traits are crucial for success in this role.

Emphasise Collaboration

This role involves working closely with various stakeholders. Be ready to talk about your experience collaborating with teams like CRM, Finance, and Commercial. Share examples of how you've translated complex data into actionable recommendations that drove business results.

B2C Data Scientist in Crawley
Nestlé SA
Location: Crawley
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