paid / full-time / Dublin Ireland, London UK, Budapest Hungary, Sao Paulo Brasil, Bangkok Thailand.
Senior Applied Data Scientist
Senior Applied Data Scientist - (DAAD3.01.2211506)
Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21st century human experience – then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo. We’re looking for an Applied Data Scientist who expects more. This is not simply reporting, we do actual science in our day to day work, working with clean data. At dunnhumby you would 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 applied 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. Learn from experts and grow your career in our organisation What we expect from you • Programming skills (Python, PySpark, SQL, Hadoop) • Prototyping • Statistical Modelling • Analytical Techniques and Technology • Quality Assurance and Testing • Strong communication skills and stakeholder management • Logical thinking and approach to problem solving • Team leadership capability
Qualifications
What we expect from you
Degree or equivalent in a statistical or mathematical subject.
· Experience in pricing digital advertising products
· Lead the thinking in the media pricing space, have a good market understanding and context to position our solutions to win in the market.
· An entrepreneurial spirit and work within a fast paced, changing environment
· Ability to work with commercial and technical stakeholders as well as the Leadership Team
· Good understanding pricing analytics and monitor the approach of competitors
· Automation of performance monitoring and reporting for the pricing regime
· Ability to work with development teams to develop pricing algorithms and new pricing systems and automated reports and dashboards
· Strong Excel, project management and commercial skills
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. 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 Women’s Network, dh Proud, dh Parent’s & Carer’s, dh One and dh Thrive as the living proof. Everyone’s invited.
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.
Applied Data Scientist
Applied Data Scientist
dunnhumby is looking for a talented Applied Data Scientist
We partner with businesses around the world to use Customer Data Science to deliver exceptional customer experiences, personalised to their needs and expectations, wherever they are – in-store, offline and online. The results: competitive advantage against traditional and new market entrants, and increased revenue and profitability. With 46 offices in 27 countries, 500 + data analysts/scientists, over 800 million customers, 44 billion baskets and 9 TB of data managed daily. Our clients are among the biggest companies both retailers and suppliers in the world.
This is a broad analytical role, suitable for an analyst with 2 years experience. The role requires a balance of both technical competency and client facing skills. The candidate must be motivated to engage with the client to understand their business questions and to conduct the analysis. The successful candidate will take responsibility for performing the technical exercise of gathering the data, interpreting them into insights and delivering clear and compelling results.
You’ll have the opportunity to learn amongst a community of the Data Scientists and we offer extensive training opportunities for both technical & soft skills. You’ll have access to varied, large & complex data sets, and perform analysis using Python, SQL, Spark & Hadoop.
What you'll be doing:
· Using cutting-edge data science and machine learning methodologies to tackle complex business problems and deliver insights that resonate with our clients.
· Working on the best data set in the FMCG industry, using advanced analytical capabilities and benefiting from the learning of our 500 Data Scientists globally.
· Investigate and implement the most appropriate analytical techniques for each project, re-using and further developing global solutions or code written by others.
· Deploy data science and machine learning algorithms and market products on chosen tech stack for efficient and cost-effective delivery.
· This is a hybrid role that enables you to engage directly with the client and to engage in technical skills to bring answers to their questions. Exceptional communication and consultancy skills are required in addition to technical proficiency.
· Build strong relationships with clients and colleagues to ensure full understanding of client requirements, ensuring clear and effective communication.
· Participate in client meetings to help explain the proposed methodology and solutions.
Who you’ll get to work with:
Within dunnhumby you’ll work with
- You’ll work amongst several local teams of Applied and Research Data Scientists
- We work with clean data and spend 0% of our time cleaning data
- You’ll engage directly with the client, communication and consultancy skills are essential
- Data Science Engineering teams
Externally, you’ll frequently be in contact with:
- Senior Retail stakeholders
Qualifications
Applied Data Scientist
dunnhumby is looking for a talented Applied Data Scientist Based in Dublin
We partner with businesses around the world to use Customer Data Science to deliver exceptional customer experiences, personalised to their needs and expectations, wherever they are – in-store, offline and online. The results: competitive advantage against traditional and new market entrants, and increased revenue and profitability. With 46 offices in 27 countries, 500 + data analysts/scientists, over 800 million customers, 44 billion baskets and 9 TB of data managed daily. Our clients are among the biggest companies both retailers and suppliers in the world.
This is a broad analytical role, suitable for an analyst with 2 years experience. The role requires a balance of both technical competency and client facing skills. The candidate must be motivated to engage with the client to understand their business questions and to conduct the analysis. The successful candidate will take responsibility for performing the technical exercise of gathering the data, interpreting them into insights and delivering clear and compelling results.
You’ll have the opportunity to learn amongst a community of the Data Scientists and we offer extensive training opportunities for both technical & soft skills. You’ll have access to varied, large & complex data sets, and perform analysis using Python, SQL, Spark & Hadoop.
What you'll be doing:
· Using cutting-edge data science and machine learning methodologies to tackle complex business problems and deliver insights that resonate with our clients.
· Working on the best data set in the FMCG industry, using advanced analytical capabilities and benefiting from the learning of our 500 Data Scientists globally.
· Investigate and implement the most appropriate analytical techniques for each project, re-using and further developing global solutions or code written by others.
· Deploy data science and machine learning algorithms and market products on chosen tech stack for efficient and cost-effective delivery.
· This is a hybrid role that enables you to engage directly with the client and to engage in technical skills to bring answers to their questions. Exceptional communication and consultancy skills are required in addition to technical proficiency.
· Build strong relationships with clients and colleagues to ensure full understanding of client requirements, ensuring clear and effective communication.
· Participate in client meetings to help explain the proposed methodology and solutions.
Who you’ll get to work with:
Within dunnhumby you’ll work with
- You’ll work amongst several local teams of Applied and Research Data Scientists
- We work with clean data and spend 0% of our time cleaning data
- You’ll engage directly with the client, communication and consultancy skills are essential
- Data Science Engineering teams
Externally, you’ll frequently be in contact with:
- Senior Retail stakeholders
What you'll need:
- Exceptional communication skills and experience presenting to clients.
- Bachelor’s degree or equivalent in Data Science/Analytics , Computer Science, Artificial Intelligence, Machine Learning, Applied Statistics, Physics, Engineering or related field.
- Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact.
- Some experience with programming (Python, SQL, R), and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL / Python.
- Analytical Techniques and statistical modelling
- Data Interpretation/ Insight Analysis, Data visualization, Story Telling
- Client relationship building and management, and presentation skills
A plus if you also have:
- Master’s degree or equivalent in in Data Science/Analytics , Computer Science, Artificial Intelligence, Machine Learning, Applied Statistics, Physics, Engineering or related field.
- Programming experience on any standard data mining and modelling packages such as Python and R.