Qureos Mentor

dunnhumby

<div><div><div><b>dunnhumby</b> 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.</div><br>
<div></div>
<div><b>
Our mission:</b> to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail &ndash; one of the world's most competitive markets, with a deluge of multi-dimensional data &ndash; dunnhumby today enables businesses all over the world, across industries, to be Customer First.</div><br>
<div></div>
<div><b>
dunnhumby</b> 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 &amp; Gamble and Metro.</div></div><p><b>
Most companies try to meet expectations, dunnhumby exists to defy them. </b>Using big data, deep expertise and AI-driven platforms to decode the 21st century human experience &ndash; then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter &amp; Gamble and PepsiCo.</p>
<p>
We're looking for a talented <b>Research Data Scientist </b>who expects more from their career. You will be at the forefront of dunnhumby's research data science team where you will be translating a complex business problem into a data science problem and solving that with scalable and state-of-the art AI algorithms. Joining our research data science team, you will be helping identify new opportunities within the Data Science space for future dunnhumby solutions. Learn from experts and grow your career in our organisation.<br>
<br>
<b>What we expect from you</b></p>
<ul><li>Degree or equivalent in a statistical or mathematical subject.</li></ul>
<ul><li>2-5 Years of experience in Data Science</li></ul>
<ul><li>Good understanding of statistics and mathematical methodologies used &ndash; especially forecasting, regression, linear models, time series, hypothesis tests and optimisation</li></ul>
<ul><li>Ability to prototype solutions using Python and Spark to facilitate development and testing of algorithms on large data sets</li></ul>
<ul><li>Good understanding of machine learning techniques, with applications to classification, prediction and clustering</li></ul>
<ul><li>Ability to apply and extend experimental design methodology to conduct rigorous measurement of treatment effects</li></ul>
<ul><li>Good working knowledge of databases, including SQL, relational and non-relational data models</li></ul>
<ul><li>Experience of using following algorithm at scale: Ancova, linear models with regularization, clustering, random forests, xgboost</li></ul>
<ul><li>Research the latest machine learning approaches</li></ul>
<ul><li>Good grasp of Object-Oriented Programming</li></ul>
<ul><li>Ability to quickly learn open-source statistics and machine learning packages &ndash; Pandas, SciPy, Scikit - learning, Tensor flow.</li></ul><br>
<p></p>
<p><b>
What you can expect from us</b></p>
<p>
 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.</p>
<p>
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.</p>
<p>
And we don't just talk about diversity and inclusion. We live it every day &ndash; with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. Everyone's invited.</p><br>
<p></p>
<p><b>
Our approach to Flexible Working
</b></p><p>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.</p>
<p>
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.</p>
<div>
<p>For further information about how we collect and use your personal information please see our Privacy Notice which can be found <b>(here)</b></p>
</div><div><p><b>
What you can expect from us</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
And we don't just talk about diversity and inclusion. We live it every day &ndash; 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.</p>
<p><b>
Our approach to Flexible Working
</b></p><p>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.</p>
<p>
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.</p>
<p>
For further information about how we collect and use your personal information please see our Privacy Notice which can be found <b>(here)</b></p></div></div>

Research Data Scientist

<div><div><div><b>dunnhumby</b> 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.</div><br>
<div></div>
<div><b>
Our mission:</b> to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail &ndash; one of the world's most competitive markets, with a deluge of multi-dimensional data &ndash; dunnhumby today enables businesses all over the world, across industries, to be Customer First.</div><br>
<div></div>
<div><b>
dunnhumby</b> 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 &amp; Gamble and Metro.</div></div><p><b>
We're looking for a Lead Applied Data Scientist who expects more from their career. </b>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.</p>
<p><b>
What we expect from you</b></p>
<ul>
<li><b>5 to 7 years of experience required</b></li>
<li>Degree in Statistics, Maths, Physics, Economics or similar field</li>
<li>Programming skills (Python and SQL are a must have)</li>
<li>Analytical Techniques and Technology</li>
<li>Logical thinking and problem solving</li>
<li>Strong communication skills</li>
<li>Stakeholder Management</li>
<li>Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact</li>
<li>Statistical Modelling and experience of applying data science into client problems.</li></ul><br>
<div>
</div><div><p><b>What you can expect from us</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
And we don't just talk about diversity and inclusion. We live it every day &ndash; 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.</p>
<p><b>
Our approach to Flexible Working
</b></p><p>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.</p>
<p>
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.</p>
<p>
For further information about how we collect and use your personal information please see our Privacy Notice which can be found <b>(here)</b></p></div></div>

Lead Applied Data Scientist

Join dunnhumby and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

dunnhumby

ABOUT_COMPANY

Research Data Scientist

Lead Applied Data Scientist