Address
Form of workDiverse community. Inclusive Research. Rewarding Careers.
Doing things differently.
Machine Learning Specialist for FinancialData Quality (KTP Associate)
£45k - £50k (per annum)
Fixed term contract for 28 months
In-person working in Nottingham City Centre location, with some remote opportunities
Interview date: 6th March 2024 (in person)
About the Role
In today's world, where data plays a big role, having high-quality data is particularly important. It helps us get accurate insights and make better decisions. While current solutions in the market can identify Data Quality issues based on pre-defined rules, these approaches are limited and incapable of correcting these errors, supported by a set of confidence measures to ensure the accuracy of the corrected entries. The aim of this exciting KTP project between Nottingham Trent University and Bigspark Limited is to revolutionize the way organisations handle and leverage their data by employing innovative techniques based on Artificial Intelligence to perform data imputation and correction. This will empower businesses with high-quality, accurate and timely data for effective decision-making.
The expected outcome of this project are as follows:
- Develop innovative AI/ML solution for identifying Data Quality issues.
- Integrate the developed solution to existing platforms to improve Data Quality by identifying outliers and possible corrective measures.
- Develop explainable AI models to improve transparency and trust of the developed solutions.
- Embed the technical knowledge into the company and develop a knowledge for future adaptation of the project outcomes
The overall purpose of the KTP associate role is to lead the successful development and integration ML-based Data Quality enhancement solution that is applicable in the financial sector. This will allow BigSpark to utilise this tool as part of their development toolchain, resulting in an efficient and timely data correction measures.
Who is bigspark?
Bigspark is a fast-growing UK data solutions consultancy transforming businesses and igniting
change through engineering and data-fuelled innovation. Our agile team of over 50 data engineers
and scientists approaches complex challenges with an audacious mindset, pushing boundaries to
unlock the power within data.
We proudly offer our services to leading organizations in finance like NatWest, Esure, and in
mental health, like MyNara. We are constantly pushing our expertise forward across data
engineering, science, AI, cloud, software, and financial crime technology. For each client, our
dedicated teams get deep into the details of their business to deliver top-notch tailored solutions.
Leveraging our extensive experience serving financial sector clients, we aim to use our data
quality expertise to solve critical problems such as improving the accuracy and completeness of
Financial Data, which is one of the main causes of poor decision making that can lead to
significant financial losses or compliance issues for organizations.
Most Data Quality solutions tend to have a narrow focus, with limited capabilities to address
emerging Data Quality issues like bias or concept drift; and also lack automation. With many tools
to select from, each with different value offerings, selecting a tool can be very difficult, and the
one eventually chosen may not achieve the expected results.
We intend to approach this problem more holistically by expanding the scope and changing the
approach to Data Quality with the aim of implementing real-time Machine Learning-driven data profiling, monitoring, and augmentation.
About KTPs:
This position forms part of a Knowledge Transfer Partnership (KTP) funded jointly by Innovate UK and BigSpark Ltd. As a KTP Associate you will work within BigSpark Ltd to develop and embed knowledge, with research and academic support from NTU. This KTP offers the ideal opportunity to apply your degree through real work and springboard your career. It includes a £4.6k training budget & 10% of your time dedicated to your own personal development. Read more about the scheme here: www.ktp-uk.org
More information:
Questions? We recommend you get in touch with Dr Salisu Yahaya, Senior Lecturer at Nottingham Trent University salisu.yahaya@ntu.ac.uk
Please note if you’re applying for this position, you should not have previously been employed as a KTP Associate.
Safe and Inclusive
At NTU, we continue to build an inclusive culture that encourages, supports and celebrates the diverse voices and experiences of our students and colleagues. We welcome the unique contributions that you can bring and we encourage people from underrepresented communities and backgrounds to apply to join our team.
Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications.
Whilst this role is eligible for sponsorship under the Skilled Worker Route, we recommend that you assess your eligibility before applying for this position. Visit https://www.gov.uk/skilled-worker-visa for more information.
This role is covered by the Rehabilitation of Offenders Act (1974) and successful applicants will be asked to declare any unspent criminal convictions.
