Leeds, West Yorkshire, LS12 6LT
£27,000 - £34,000
MSc in data or decision science/business analytics
27 March 2019
KTP Advert Ref:
KTP Associate – Predictive Analytics Specialist and Developer – E-commerce
Leeds University Business School and Clipper Logistics PLC
Do you hold an MSc in data science, business analytics or decision science? Do you have strong analytical skills including experience of using analytical methods and experience of E- commence logistics or consumer analytics? Would you like to launch your career in industry?
We have an opportunity for you to fast-track your career into industry by leading a high-profile, strategically important project from start to finish. Through a Knowledge Transfer Partnership (KTP), you will be working in partnership with Clipper Logistics PLC and Leeds University Business School to develop and deploy models to significantly improve processing efficiency and reduce costs arising from handling product returns from e-commerce transactions.
Clipper focusses on value-added retail logistics. We are continually innovating in order to improve efficiency, enabling us to achieve market leadership in online retail fashion distribution and customer returns. Our retail and e-retail partners are experiencing rapid growth in product returns. We intend to grow our AI and Data Science capabilities in order to incorporate a data-driven approach which will entail incorporating predictive data analytics and machine learning techniques into our business models to understand real-life, complex product return processes and consumer behaviours. You will use data mining, statistical, analytical and prediction methods including regression, machine learning and bespoke algorithms in R, python or a similar analytical language to design, test and deploy predictive modelling tools and applications into our business.
You will be based at the company premises in Leeds, but will be employed by the University of Leeds for the duration of the project, a fixed period of 33 months. You will be required to spend some time at the University as well as undertaking some UK-wide travel (which will be reimbursed) Members of Leeds University Business School, including the Centre for Decision Research and Centre for Operations and Supply Chain Research will provide academic and technical support to you throughout the project.
You will have access to a bespoke training and development package worth £5,500, to be spent according to your needs and the project’s requirements, enabling you to work effectively on your KTP project and to plan for your future career. You will also attend two weeks of residential KTP training to equip you with the skills and knowledge required to complete the project successfully, for which time is allocated and funding provided.
What does the role entail?
As a KTP Associate Predictive Analytics Specialist and Developer – E-Commerce, your main duties will include:
? Developing a comprehensive understanding of the factors and data, available from selected clients, relating to returns of fashion products to Clipper from online sales;
? Building good working relationships with both internal and external stakeholders and clients;
? Identifying factors and data gaps relevant to product returns and reliable sources of data, internal or external to fill those gaps;
? Modelling the factors affecting returns operations and behaviours
? Identifying potential analytical tools and techniques to be trialled;
? Developing data collection and database systems to enable predictive analytics;
? Learning new skills in analytic tools and techniques, if necessary;
? Identifying market gaps around “returns” and specifying commercially valuable products/services to fill those gaps;
? Designing, testing and deploying novel predictive/analytical tools as new products services;
? Training of selected Clipper employees and selected clients’ staff in new products/services;
? Keeping accurate project records including the creation of a repository for all knowledge generated during the KTP, and protecting any novel IP arising;
? Presenting to clients and providing marketing support to launch new products/services.
These duties provide a framework for the role and should not be regarded as a definitive list. Other reasonable duties may be required consistent with the grade of the post.
What will you bring to the role?
As a KTP Associate Predictive Analytics Specialist and Developer – E-Commerce you will be/have:
? An MSc in data science, business analytics, decision sciences, or a related subject area;
? Advanced knowledge and experience of analytical methods such as regression, forecasting and machine learning, and/or experience of E-commerce logistics or consumer analytics;
? Strong personal initiative, with excellent project and self-management skills, including the ability to prioritise workloads to meet deadlines/demands and deliver high quality work under pressure;
? Excellent communication skills, both written and verbal, including the ability to communicate effectively in both commercial and academic environments;
? The ability to work well both independently and as part of a team in a complex environment comprising of internal and external stakeholders;
? Strong analytical skills, with the ability to work accurately, carefully and learn/adopt new analytical skills;
? Some industrial/work experience and a strong desire to develop a career in a dynamic and successful logistics company;
? Full UK driving licence (or alternative means of travel), enabling visits to remote client locations. (Public transport cannot be relied on).
You may also have:
? A PhD (or nearing completion) in data science, business analytics, decision sciences or a related subject area;
? Experience in relevant predictive analytics projects of a similar scale;
? Commercial experience related to warehousing, logistics, e-commerce, fashion retailing and/or product returns;
? Experience of software development.
Knowledge Base Partner:
Leeds, University of
Clipper Logistics plc
Company business area:
Developed unique expertise in high-value logistics, pioneering and developing a range of specialist, bespoke, and added-value logistics solutions.
Professor Chee Yew Wong
, Leeds University Business School, Tel: +44 (0)113 343 email@example.com