Data Scientist NLP/AI

About the role

An exciting opportunity to apply and develop your skills in data analytics and operations management to create a knowledge-backed data-driven Virtual Assistant (VA) for operational decision makers.  

The University of Reading and ActiveOps PLC are working collaboratively on this Knowledge Transfer Partnership (KTP) which will provide additional decision intelligence to existing ActiveOps products. 

The position is a 24-month fixed term full-time contract with a mix of remote working and regular time spent at ActiveOps in Reading, Berkshire. 

About ActiveOps:

ActiveOps is a leading provider of cloud-based enterprise software offering large-scale operations management solutions to operations leaders in Banking, Insurance, Healthcare and Business Process Outsourcers organisations across the world.  ActiveOps key focus is using technology and data to help business reduce costs, improve performance and overall run operations better. AI powered Decision Intelligence for Service Operations - ActiveOps 

About KTP:

This position forms part of a Knowledge Transfer Partnership (KTP) project funded by Innovate UK and ActiveOps. The postholder will be employed by the University of Reading but will be based at ActiveOps offices.  Knowledge Transfer Partnerships (ktp-uk.org) 

Skill development through training:

There is a £4k dedicated training budget tailored towards your own personal development in addition to residential management skills training.  

The successful candidate must possess:

• Minimum of a Masters degree in Computer Science / Information Management/Data Analytics/AL/Machine Learning
• A track record with state of the art Data analytics language like R and Python, with a strong desire to work on other platforms (like MS Azure Analytics, PowerBI, Azure SQL Database) 

Essential skills we require as a minimum:

• Able to work comfortably both within a multi-disciplinary team and independently
• Strong analytical and communication skills in order to synthesise complex data and translate this into clear, concise and accessible communications
• Demonstrated experience of crafting complex documents for technical and non-technical audiences
• Excellent communicator, including written, presentation and confident to liaise with stakeholders at all levels
• Fast learner, desire & ability to lead a commercial project, understanding of the multi-dimensional nature of a KTP
• Passion for data analytics and problem solving
• Project Management experience including project planning, project monitoring and risk management 

Informal contact details

Alternative informal contact details

Contact role:

Academic Supervisor

Contact role:

Academic Support

Contact name:

Mona Ashok

Contact name:

Giannis Haralabopoulos

Contact phone:

0118 378 4950

Contact phone:

01183785044

Contact email:

m.ashok@henley.ac.uk 

Contact email:

i.haralabopoulos@henley.ac.uk  

Closing date: 9 June 2024

Interviews will be held: 1st or 2nd July 2024 

By reference to the applicable SOC code for this role, sponsorship may be possible under the Skilled Worker Route.  Applicants wishing to consider the SWR must ensure that they are able to meet the points requirement before applying. There is further information about this on the UK Visas and Immigration Website. 

The University is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter and the Race Equality Charter, and champions LGBT+ equality. Applications for job-share, part-time and flexible working arrangements are welcomed and will be considered in line with business needs.

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