Data Scientist Power Platform & Machine Learning KTP Associate

Staffordshire University
June 16, 2024
Offerd Salary:£35,000 to £40,000
Working address:N/A
Contract Type:Other
Working Time:Full time
Working type:N/A
Ref info:N/A
Data Scientist Power Platform & Machine Learning KTP Associate School of Digital, Technology, Innovation and Business

Location: Stoke, Stafford or Lichfield Salary: £35,000 to £40,000 Per Annum Full Time Fixed Term for 24 Months Release Date: Friday 17 May 2024 Closing Date: Sunday 16 June 2024 Interview Date: Tuesday 25 June 2024 Reference: DTIB96-24

About the role

We have an exciting opportunity to work on a collaborative project between Avenue 9 Solutions and Staffordshire University. Avenue 9 specialise in hospitality IT consultancy, working with prestigious hotels and groups in the UK and Ireland. The aim of this Knowledge Transfer Partnership (https: // www., known as “Avenue 9 PowerAnalytics” funded by InnovateUK, is to develop innovation within Microsoft PowerBI to be used in hospitality on a Software as a Service (SaaS) model.

Working closely with Avenue 9 and academics at Staffordshire University, the successful candidate will be skilled in leveraging Power BI and cutting-edge technologies like generative AI and machine learning to unlock hidden patterns and drive impactful business decisions. The candidate will also assist the Avenue 9 team in the sales process and help support clients as necessary.

We're excited to move forward with your application interview for the Data Scientist - Power Platform & Machine Learning position with Avenue 9 Solutions. In addition to discussing your qualifications, we'd like to see a portfolio showcasing your past projects. This is a great opportunity to demonstrate your expertise with Power BI, Power Platform, and your experience integrating AI, machine learning, and potentially large language models into your work. The portfolio's depth and breadth will help us understand how you've applied your skills to real-world scenarios. Please provide any supporting material in MS word format and keep to a maximum of one page.

Main Responsibilities

The main responsibilities for our Data Scientist Power Platform & Machine Learning KTP Associate will be to:

  • Work as part of a collaborative team to tackle the challenges of designing and creating an innovative, immersive solution for Power Analytics Solution decontamination and maintenance in hospitality settings.
  • Create innovation within a Power Platform solution
  • Perform code reviews to ensure code quality.
  • Actively participate in meetings with hospitality clients and SMEs to develop ideas and design instructional methodologies that support client goals and learning objectives.
  • Technical input in team meetings and contributing to design ideas.
  • Contribute to the modification and integration of proposed systems, Machine Learning techniques, Cloud services and Data Analytics to existing infrastructure.
  • Work with the management and sales team to scope projects.
  • Research into techniques, technologies and methodologies used in Cloud technology, Descriptive and predictive analytics, Lakehouse and data mining processes
  • Testing and debugging new and existing analytics collusion.
  • Deploy and Setup of the system as requested.
  • The role holder is required to minimise environmental impact in the performance of their role and to actively contribute to the delivery of the University's Environmental Sustainability Policy.
  • To undertake any other reasonable duties as required.
  • Contact For Informal Discussion

    Dr Benhur Bakhtiari Bastaki - [email protected]

    Who is Staffordshire University?

    Staffordshire University is an award winning, teaching-intensive and research- inspired university with a focus on work integrated learning, digital innovation and enterprise engagement. With over 100 years' experience, we are a successful, confident and ambitious modern university, with a foundational purpose of providing higher and applied learning opportunities relevant to our region and beyond.

    Spread across three main campuses in Stoke-on-Trent, Stafford and London, our future-focused courses and next-level teaching ensure our students can unlock the potential the world needs now to support better futures.

    This is a key reason why we are ranked 2nd in the UK for quality education (Sustainable Development Goal 4, THE Impact Rankings 2023) and why we're in the top 10 of UK universities for career prospects (WhatUni Student Choice Awards 2023).

    As a university it is important that we are at the forefront of research, delivering impact across the globe and informing how and what we teach. In the 2021 Research Excellence Framework, 87% of our research impact is recognised as “outstanding” or “very considerable”, demonstrating how we continue to push further to create a better tomorrow for our local and global communities.

    When you join Staffordshire University, you join a highly supportive, supportive, boundary-pushing culture where insight and innovation is celebrated, expertise is valued, and excellence is rewarded. We can't wait to see the contribution that you make to the continued growth and success of the Institution.

    At Staffordshire University, we believe that every student and staff member needs to be carbon literate if we are to help tackle the climate emergency and achieve our One Planet Pledge of carbon neutrality by 2030, and we are proud of our Bronze Carbon Literacy Award status. As part of our ongoing commitment we particularly encourage applications from candidates who have already completed carbon literacy training, or are prepared to undertake this training as part of their ongoing professional development.

    Apply Online

    Further details:
  • Person Specification
  • Job Description
  • Staffordshire University is committed to promoting and enabling a positive culture where staff, students and visitors are confident to be their authentic selves. We focus on inclusion as a way to ensure equality of opportunity for all our people and to demonstrate our commitment to Equality, Diversity and Human Rights.

    We promote applications from all sections of the community, regardless of background, belief or identity, recognising the benefits a diverse organisation can bring for the University.

    We particularly encourage applications from Black, Asian and Minority Ethnic (BAME) people, who are currently under-represented in the University workforce.

    From this employer

    Recent blogs

    Recent news