Senior Data Scientist

The Kraft Heinz Company
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Description

Are you a talented and driven Data Scientist with expertise in machine learning and a passion for building robust pipelines for demand forecasting? We are seeking a skilled individual to join our dynamic team at Kraft Heinz. Join our team and make an impact by leveraging machine learning and demand forecasting to drive data-driven decisions and optimize our business operations.

What's on the Menu?

As aSenior Data Scientist, you will be a key contributor on demand forecasting team. You will build and test statistical and machine learning models to accurately predict demand from our retailers. The models you build will be deployed into a production setting where your models will drive value across all our brands. You will provide updates and results to the Product Owner and Data Science Lead on the progress of your work while partnering with the business users to identify modeling opportunity areas.

Key Ingredients:

Utilize your strong analytical skills and machine learning expertise to develop advanced time-series models for demand forecasting. Collaborate with cross-functional teams to identify and define business problems related to demand forecasting. Conduct exploratory data analysis and feature engineering to extract valuable insights from complex datasets. Develop and implement machine learning algorithms to optimize demand forecasting accuracy and efficiency. Evaluate and fine-tune models by applying statistical methods and running experiments on real-world data. Communicate findings and insights to team members and work with the team to define modeling next steps

Recipe for Success: Apply if it sounds like you!

Master's degree in Computer Science, Statistics, Mathematics, or a related field. 2+ years experience with predictive modeling time-series, machine learning, statistical modeling Experience building demand forecast models Proficiency in programming languages such as Python and R, as well as libraries like scikit-learn knowledge on factors that influence shipment demand Proficient in SQL and working with relational databases. Experience using cloud-based services such as AWS, Azure, or Google Cloud Excellent problem-solving skills and ability to think critically about complex business challenges. Strong communication skills Proven ability to work effectively in a collaborative, fast-paced environment.

We hope to find you a seat at our table!

Location(s)

Amsterdam, London - The Shard

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.