Senior Applied Data Scientist

Reposted 2 Days Ago
Be an Early Applicant
Toronto, ON
In-Office
Senior level
eCommerce • Retail
The Role
The Applied Data Scientist role involves analyzing complex data, turning problems into analytical plans, and deploying scalable data applications while collaborating with teams.
Summary Generated by Built In

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First.

 

Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.

 

dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro.

We are seeking a forward-thinking Applied Data Scientist to join our dynamic team. It’s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you’ll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them.

Responsibilities:

  • Investigate and analyze complex data sets to extract valuable insights.
  • Turn business problem into analytical plans.
  • Collaborate with cross-functional teams to deliver data-driven solutions.
  • Re-use existing dunnhumby science or develop and implement algorithms and machine learning models.
  • Deploy and maintain scalable data applications.
  • Continuously explore and leverage new technologies and methodologies.

Required Skills:

  • Degree in a relevant subject.
  • Proficiency in programming languages such as PySpark, Python or SQL.
  • Experience in Data Visualization tools and BI (Power BI, Excel).
  • Strong understanding of analytical techniques and technology.
  • Proficiency in quality assurance and testing.
  • Experience in Retail Analytics (Desirable).
  • French speaking (Desirable).

What you can expect from us

We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect.  Plus, thoughtful perks, like flexible working hours and your birthday off.

You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.

And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof.  We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. 

Our approach to Flexible Working

At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

Top Skills

Excel
Power BI
Pyspark
Python
SQL
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: London
0 Employees
Year Founded: 1989

What We Do

Dunnhumby is a customer data platform that provides models and insights into how customers engage with retail and e-commerce spaces.

Similar Jobs

In-Office
Toronto, ON, CAN
85000 Employees
105K-152K Annually
In-Office
Toronto, ON, CAN
22282 Employees
136K-170K Annually

Mondelēz International Logo Mondelēz International

Process Engineer

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Hybrid
East York, ON, CAN
90000 Employees

Morningstar Logo Morningstar

Events Manager, Strategic Account Marketing

Enterprise Web • Fintech • Financial Services
Hybrid
Toronto, ON, CAN
12700 Employees

Similar Companies Hiring

ClickMint Thumbnail
Marketing Tech • Generative AI • eCommerce • AdTech
Malibu, CA
9 Employees
PRIMA Thumbnail
Travel • Software • Marketing Tech • Hospitality • eCommerce
US
15 Employees
Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account