KTP
Knowledge Transfer Partnerships (KTPs) are a unique UK-wide activity that help businesses to improve their competitiveness and productivity by making better use of the knowledge, technology and skills within universities, colleges and research organisations. Further information is available at:
www.ktponline.org.uk THE PROJECT The University of Essex, in partnership with Climbing Trees Ltd, offers an exciting opportunity to a graduate with the relevant skills and knowledge to develop a unique model, using Artificial Intelligence and Machine Learning techniques, to create a daily visual performance dashboard derived from numerous datasets, to enable an ethical marketing agency to optimise the online performance of their clients. This post is fixed term for 23 months and is based at Climbing Trees' offices in Earls Colne (Essex). DUTIES OF THE POST The duties of the post will include: Gathering, processing and labelling data from numerous online platforms Developing numerous algorithms and models as needed Working with Climbing Trees staff and University of Essex academics to develop a visual performance dashboard suitable to needs Ensuring cyber security and adhering to GDPR Establishing SOPs for agile project management to develop AI tools Developing a suitable new product development process for the performance Dashboard Working in a small but committed team to understand current datasets, data storage and processes Working iteratively, in response to client and staff feedback Acting as project lead, to progress the project and ensure milestones are met to a timely manner. Embedding technology, training and upskilling company staff. Participating in academic and/or industrial conferences and other events, to disseminate and present research outcomes to the wider community. These duties are a guide to the work that the post holder will initially be required to undertake. They may be changed from time to time to meet changing circumstances. KEY REQUIREMENTS MSc in Data Science, Computer Science or similar. Experience of a full stack development or similar role. Knowledge or experience in online marketing. Experience of working in small team. Experience of directly dealing with clients and good relationship building skills. Good communication skills, with the ability to explain technical concepts to non-technical stakeholders. Excellent problem-solving skills. Being able to work in a fast-moving environment, listening to feedback and working collaboratively. It is essential that the Associate adopts Climbing Trees' ethically minded approach and supports the focus on an ethical, curious, caring and client focused approach. Good programming skills. Familiarity with both front-end and back-end languages and libraries (for example, Python and JavaScript). Knowledge of databases. An understanding of cyber security and GDPR. Knowledge about software security (security by design). Knowledge about the implementation of basic privacy and authentication techniques in Python. Excellent written and spoken English. Project and budget management skills. Ability to write technical documentation/academic papers. BENEFITS As a KTP Associate, the post will offer the following benefits: A personal development budget of £3,800 (exclusive of salary). Management training and mentoring by an Innovate UK KTP Adviser. An interesting and challenging role, with exposure to a variety of stakeholders. Full access to university resources to complete the project. World-leading Academic and Company project supervision, with project support by a dedicated, sector leading KTP Office. LOCATION Climbing Trees Ltd 60b High St Earls Colne Colchester Essex CO6 2PB This is a Hybrid role. However, you will be expected to be in the office every Wednesday, at minimum. Please see the attached job pack, which contains a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application. Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please contact
resourcing@essex.ac.uk . *More information: Working at the University
#J-18808-Ljbffr
www.ktponline.org.uk THE PROJECT The University of Essex, in partnership with Climbing Trees Ltd, offers an exciting opportunity to a graduate with the relevant skills and knowledge to develop a unique model, using Artificial Intelligence and Machine Learning techniques, to create a daily visual performance dashboard derived from numerous datasets, to enable an ethical marketing agency to optimise the online performance of their clients. This post is fixed term for 23 months and is based at Climbing Trees' offices in Earls Colne (Essex). DUTIES OF THE POST The duties of the post will include: Gathering, processing and labelling data from numerous online platforms Developing numerous algorithms and models as needed Working with Climbing Trees staff and University of Essex academics to develop a visual performance dashboard suitable to needs Ensuring cyber security and adhering to GDPR Establishing SOPs for agile project management to develop AI tools Developing a suitable new product development process for the performance Dashboard Working in a small but committed team to understand current datasets, data storage and processes Working iteratively, in response to client and staff feedback Acting as project lead, to progress the project and ensure milestones are met to a timely manner. Embedding technology, training and upskilling company staff. Participating in academic and/or industrial conferences and other events, to disseminate and present research outcomes to the wider community. These duties are a guide to the work that the post holder will initially be required to undertake. They may be changed from time to time to meet changing circumstances. KEY REQUIREMENTS MSc in Data Science, Computer Science or similar. Experience of a full stack development or similar role. Knowledge or experience in online marketing. Experience of working in small team. Experience of directly dealing with clients and good relationship building skills. Good communication skills, with the ability to explain technical concepts to non-technical stakeholders. Excellent problem-solving skills. Being able to work in a fast-moving environment, listening to feedback and working collaboratively. It is essential that the Associate adopts Climbing Trees' ethically minded approach and supports the focus on an ethical, curious, caring and client focused approach. Good programming skills. Familiarity with both front-end and back-end languages and libraries (for example, Python and JavaScript). Knowledge of databases. An understanding of cyber security and GDPR. Knowledge about software security (security by design). Knowledge about the implementation of basic privacy and authentication techniques in Python. Excellent written and spoken English. Project and budget management skills. Ability to write technical documentation/academic papers. BENEFITS As a KTP Associate, the post will offer the following benefits: A personal development budget of £3,800 (exclusive of salary). Management training and mentoring by an Innovate UK KTP Adviser. An interesting and challenging role, with exposure to a variety of stakeholders. Full access to university resources to complete the project. World-leading Academic and Company project supervision, with project support by a dedicated, sector leading KTP Office. LOCATION Climbing Trees Ltd 60b High St Earls Colne Colchester Essex CO6 2PB This is a Hybrid role. However, you will be expected to be in the office every Wednesday, at minimum. Please see the attached job pack, which contains a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application. Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please contact
resourcing@essex.ac.uk . *More information: Working at the University
#J-18808-Ljbffr
