Apply now »

Data Science Manager

Location: 

Corby, ENG, GB, NN17 9FH

Brand:  RS
Function:  Marketing
Work Location:  Hybrid

About the role:

 

As the Data Science Manager, you will lead a best in class decision science team driving the value from our data and delivering insights, segmentations, propensity models, ML/AI across every customer touch point (e.g. sales, customer service, online, marketing). Build a roadmap of opportunities and champion the use of data across the commercial directorate as the recognised technical expert in Decision Science.

 

Helping to shape the future of commercial insights within the organisation through close collaboration with the Sr Director of Commercial Insights and fellow managers within the team. Help shape and drive the end 2 end customer omnichannel customer decisioning through the development of innovative solutions

Deliver commercial value measured by increased customer numbers and value, retention of customers and cost savings identified. Helping to drive up our audience figures for targeted digital personalised messages.

 

Key accountabilities:

 

  • Be the recognised expert in Decision Science with the commercial directorate– providing expert and innovative solutions to complex problems by applying expert knowledge of data science

 

  • Omnichannel decisioning strategy – Provide input and guidance into customer omnichannel decisioning that supports the overall end to end omnichannel customer experience strategy leading to increased NPS and revenues

 

  • People Management - Lead a team of decision scientists and data engineers providing strong leadership, technical support, coaching and development plans

 

  • Opportunity Assessment – Assess, size and develop a roadmap of opportunities across the commercial directorate for the deployment of advanced data science techniques and approaches to solve commercial business problems and develop solutions that benefit our internal and external customers. Support and drive our analytical capability by introducing best in class predictive analytical and data science techniques to identify new commercial opportunities and inform existing activities (such as campaign targeting, segmentation, product cross-sell, recommendation engines, customer behavioural patterns) and influence key stakeholders to adopt them.

 

  • Delivery Management: Act as project lead and lead cross functional teams to deliver under an agile project-based framework. You will be responsible for ensuring excellence in your teams' day-to-day operational and project delivery. Drive the rapid deployment of propensity models, ML and AI across the relevant customer and commercial touchpoints.

 

  • Collaboration – Actively collaborate with the wider commercial insights leadership to drive projects and outcomes that deliver best in class commercial. Lead the collaboration for Commercial Insights with the Core Data team for the data ecosystem requirements and tool sets required to drive value from the data asset. Collaborate with the Martech team in the development of our capabilities including CLM/CLV. Collaborate with sales operations teams to effectively deploy any sales models and leads derived from data.

 

  • Drive Efficiency - Work with senior stakeholders across the business to deliver analytical projects that drive automated decisioning and recommendations to the heart of the commercial business. Build an agile, efficient production capability that is continuously improving. Implement control measures to ensure full GDPR compliance.

 

  • Evangalise decision science across the commercial directorate, engaging stakeholders and gathering business requirements ensuring the deliverables add business value. represent commercial insights in data projects across the commercial Directorate

 

What we’re looking for:

 

  • Highly experienced Decision Scientist with a track record of delivering commercial benefit through the deployment of models and ML/AI.
  • Significant technical knowledge of advanced data science techniques such as random forests, clustering, regression, SVM, Neural Networks, Causal Analysis etc;
  • Experience with data analysis using some or most of the following languages R, Python, Syntasa, Adobe Audience Manager, Hadoop, Snowflake, etc.
  • Experienced in the full data science lifecycle from conception to deployment
  • Demonstrable experience in delivering results and recommendations to a wider stakeholder base with storytelling and visualisation that simplifies complexity
  • Experienced in managing both data scientists and data engineers and able to undertake hands on project.
  • Worked in a multi-national matrix organisation marketing community
  • Ideally retail experience in B2B, or decision science experience in telecoms, or financial services.
  • Commercially astute with strong digital skills
  • Previous experience with managing external agencies is desirable
  • Combining creativity with a strong analytical mind and quantitative skills

 

We are RS Group.

 

RS Group is a global integrated omni-channel solutions partner for industrial B2B customers who design, build, and maintain industrial equipment and operations.  We are a FTSE 100 company with £2 billion in revenue, operating in 32 countries, shipping 60,000 parcels a day to over 1.2 million customers worldwide.

 

Our Vision is to be first choice for all our stakeholders, and we know that starts with our people. At RS we want everyone to show up to work as themselves and know that they will be supported and encouraged to develop and grow. We want work to be a place that excites and empowers, a place where you can be passionate and challenge people to think differently. 

 

We want to hire the best talent, people who share our values and understand that when we act with respect and humility, we can do great things.  That’s why we’ve put our purpose at the heart of our organisation, we want to make amazing happen for a better world. We empower our people to make a difference, innovate to make more possible and deliver to make it happen.

 

RS Group Brands:  RS, Allied Electronics & Automation, RS PRO, OKdo, DesignSpark, IESA, Synovos, Needlers and Liscombe.

 

Are you ready to explore the possibilities?

Apply now »