Data Scientist (KTP Associate)

The role:

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.

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

To develop and embed new strategic management expertise in innovation management, market orientation and advanced AI approach to develop and commercialise Caddy 2.0 (AI co-pilot with human in loop process) and future productised solutions for the Advice/Legal sector