Data Scientist (KTP Associate) - (8197)

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Manchester Metropolitan University
Manchester
GBP 25,000 - 35,000
Be among the first applicants.
2 days ago
Job description

Are you interested in developing tech for justice? Are you passionate about using your data and computing skills in a socially impactful way? An exciting opportunity has become available for a graduate to work full time on a 24-month Knowledge Transfer Partnership (KTP) to develop and embed expertise in technology innovation, data science and generative AI approaches for welfare and legal advice. The associate will work within a team using advanced AI approaches to develop and commercialise Caddy 2.0 (AI co-pilot with human in loop process) and future productised solutions for the Advice/Legal sector.


Employed and supported by an academic team from the University, you will be based at Citizens Advice SORT, Manchester.


To find out more about Citizens Advice SORT, go to https://www.casort.org.


Qualifications we require:


Minimum 2:1 Hons degree (or equivalent experience) in Computer Science, Data Science or a related subject. Due to the ambitious and challenging nature of the project, an MSc in Machine learning and/or Artificial Intelligence would be desirable.


Minimum application requirements:


Knowledge:
  • Python for programming and SQL for querying and managing datasets.
  • Solid understanding of deep learning, machine learning algorithms, and statistical modelling.
  • Ability to interpret complex data, derive insights, and optimize machine learning solutions.
Skills/Attributes:
  • Strong communication skills, including an excellent command of written and spoken English, with ability to convey technical concepts clearly.
  • Leadership potential.
  • Ability to work collaboratively in a team environment and build strong stakeholder management.
  • Highly motivated with a desire to develop new knowledge.
  • Excellent analytic and problem-solving skills.
Experience:
  • Experience as a Data Scientist, with a focus on machine learning and deep learning, particularly PyTorch.

About KTP:


For 50 years, Knowledge Transfer Partnerships (KTPs) have been helping to innovate for growth by connecting businesses that have an innovation idea with the academic expertise to help deliver it. Currently around 800 businesses, 100 knowledge bases and over 800 graduates are involved in KTPs - collaborative, transformative three-way partnerships creating positive impact and driving innovation.


Benefits:


  • £2,000 per year to spend on personal training.
  • Opportunity to register on a higher degree at a reduced cost.
  • Opportunity of a permanent position with the company: 70% of host companies make a permanent job offer to their Associate at the end of the project.

For an informal discussion, please contact Dr Kryss Macleod at k.macleod@mmu.ac.uk.


Apply at https://manmetjobs.mmu.ac.uk/jobs by submitting a CV and a covering letter detailing how you meet the criteria for the role. Only applications with a covering letter will be considered.


Due to the nature of KTP funding, those who have already completed more than 1 year of a KTP are not eligible to apply.


Manchester Metropolitan University fosters an inclusive culture of belonging that promotes equity and celebrates diversity. We value a diverse workforce for the innovation and diversity of thought it brings and welcome applications from local and international communities, particularly those from Black, Asian, and Minority Ethnic backgrounds, disabled people, and LGBTQ+ individuals.


We support a range of flexible working arrangements, including hybrid and tailored schedules, which can be discussed with your line manager. If you require reasonable adjustments during the recruitment process or in your role, please let us know so we can provide appropriate support.


Our commitment to inclusivity includes mentoring programmes, accessibility resources and professional development opportunities to empower and support underrepresented groups.

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