Our Data & Analytics team creates value for Morrisons by making sure we have the right data in the right place, providing access to data and insight through reporting tools (e.g. Looker) and providing the capability to answer strategic questions using Analytics and Data Science. As part of a fast paced retail environment, our data scientists work closely with both our wider data and analytics team and cross functionally across the organisation to help solve business problems, improve our performance and create value from our data.
Accountabilities
The role will have the following accountabilities:
Customer
Build trusted relationships with customers across all internal functions
Demonstrate an excellent understanding of business process and context
Solve complex business problems, using data & mathematical modelling
Own the customer relationship to the point of delivery providing regular updates on progress to customer and senior stakeholder groups
Where needed to aid clarity, develop agile proof of concepts to showcase possible solutions
Colleague
Champion data literacy across the organisation
Embody a “quick turn around” culture for any small requests that add value and enable data products to be shipped within one working days effort
Demonstrate a culture that enables value driven data product creation
Cash & Profit
Operational
Data and basic modelling tasks including:
Building feature sets for modelling tasks
Productionising machine learning models in the cloud
Building machine learning models such as forecasting sales and waste across the estate
Use our state-of-the-art data facilities in GCP to extract, transform and load data (ETL) for the data science team
In return for all your hard work, you will receive:
15% discount in store from the day you join us
Additional 10% discount card for a friend or family member
Annual bonus scheme
Career progression and development opportunities
Generous holiday entitlement
Market leading pension scheme and life assurance
Healthcare benefits including Aviva Digital GP
‘MyPerks’ giving you discount with over 850 retailers
Free parking onsite
Enhanced Family, Maternity and Paternity Leave
Private Healthcare
Alive with activity, our modern Head Office is home to our corporate teams that make sure everything runs smoothly. Here, you’ll find comfy breakout areas, a coffee shop, Morrisons Daily and a subsidised restaurant. We are within commuting distance of Leeds, Manchester and the Yorkshire Dales - and we even have free parking!
At our Head Office you will expect to find supplier showcases, charity fundraising and celebrations all year round for the events that mean the most to our colleagues.
There’s more to our business as it’s fast paced and ever changing, as such we’ve got lots of fresh opportunities for you to play your part in our success. We’d love to meet you!
At Morrisons, we’re proud to be building a team that reflects the diversity of the communities we serve. We want every colleague to feel respected, supported and able to be themselves at work. Different voices, experiences and ways of thinking help us grow and improve and that’s good for our customers too.
We’re always looking for people from all walks of life to join us and bring their talents to our team. Together, we can build a workplace where everyone has the chance to thrive, make a difference and belong.
As a Data Science Specialist, you will have experience of:
Solving business problems through data
Storytelling and the ability to bring data to life
Championing data literacy
Challenging the status quo & being inquisitive
Gathering, challenging and refining stakeholder requirements
Agile and Waterfall delivery methodologies
Key Skills
Excellent SQL skills and the ability to extract data from data marts in an accurate and efficient manner.
Experience of programming - preferably in Python or R - but any kind of programming experience e.g. Javascript, VBA, Java is acceptable.
Creating data visualisations and possessing an understanding of how to display data in an effective and engaging way and tell stories with the data.
The ability to mentor other members of the team - in particular technical concepts such as programming, whilst also being eager and enthusiastic about learning new skills from more experienced members of the team
Desirable:
Experience using visualisation software and dashboards - preferably Looker or Looker Studio.
Knowledge of descriptive statistics - the ability to analyse and describe data e.g. univariate analysis to describe the distribution of data in terms of central tendency (mean, median, mode), dispersion (range, quartiles, variance, standard deviation) and characteristics of the distribution such as skewness.
A background in maths, physics or engineering
Basic modelling - understanding of the fundamentals of simple statistical models such as linear and logistic regression.
Workable knowledge of cloud computing resources (GCP, AWS,or Azure).
Causal inference - the ability and understanding to analyse data in such a way that only the intended effect is measured [e.g if waste is going down in store in general but there’s a trial to improve waste, how do you understand what would’ve happened if no intervention was made so that the true benefit can be measured]
Experience of working within a FMCG environment, manufacturing or logistics environment
