Requisition ID 34978 Office Country United Kingdom Office City London Division CTO Data & Transformation Contract Type Fixed Term Contract Length 2 years Posting End Date 23/08/2024
Purpose of Job:
This is a two-year FTC within the Data Management team, but specifically dedicated to the needs of the Donor Funds Programme. Support PO in developing standardised templates for project, programme, and fund level reporting. Where required, work with key SMEs to define data terminology where it does not currently exist. Aid the lead in defining data products for CSG and Donor, including target reporting/data requirements, gap analysis, and relevant data models. Contribute to the discovery for backlog work scheduled to start in 2025, such as the digitisation of compliance processes. Knowledge of Data Management as a discipline and its organisational benefits
Awareness of Agile methodology
Good understanding (or ability to gain this knowledge) of EBRD activities and priorities (in terms of clients, products, funding and processes). Proven experience of engaging with and maintaining positive working relationships with individuals at all levels across an organisation. You will be part of a pioneering and diverse international organisation, and use your talents to make a real difference to people's lives and help shape the future of the regions we invest in. Please note, that due to the high volume of applications received, we regret to inform you that we are unable to provide detailed feedback to candidates who have not been shortlisted (for further consideration).
• Lead Technical integrations for Local & Global HR System upgrades / implementations
• Be involved with planning, architecture/design, configuration, data management, integration support, testing and deployment
• Collaborate with Business owners, IT Support, Development, and Testing Teams, plus HR VOIS to continually review and progress opportunities for optimisation, and stabilisation of Integrations and Interfaces.
In this role, you will have the opportunity to drive data science initiatives and oversee the development of in-house machine learning models and capabilities across Pandora's entire value chain. Oversee end-to-end delivery of AI products and services, ensuring adherence to best practices in data management, compliance, legal, solution design, software engineering and cybersecurity. Excellent understanding of Data Science fundamentals, Data Science Lifecycle and MLOps best practices.
At Pandora, we believe that creating an inclusive and diverse workplace and reflecting societal diversity in our customer engagement is essential to delivering on our company purpose: to give a voice to people's loves. Pandora Perks: access our exclusive online platform provided by Reward Gateway, where you'll have access to: Discounts on retail brands, cinema tickets, holidays, gym memberships and more
Wellness Hub: videos to help you lead a healthy lifestyle
Employee Assistance Programme: a completely confidential, free, counselling phone line open 24/7, all year round
Recognition programme: celebrate and share achievements with the wider business
At Pandora we love a party!
We believe that the future of financial services will be delivered by customer-oriented tech companies that embed financing in their customer journeys, and we are building the solutions that will power that future. Award-Winning Workplace: YouLend has been recognised as one of the "Best Places to Work 2024" by the Sunday Times for being a supportive, diverse, and rewarding workplace. Our hiring, transfer, and promotion decisions are exclusively based on qualifications, merit, and business requirements, free from any discrimination based on race, gender, age, disability, religion, nationality, or any other protected basis under applicable law.
Our HTD Programme is a fixed 2-year commitment between Evolution and the data consultant, where customers have the option to hire the consultant permanently at the end of the agreed deployment period. Process and interpret client exposure data for use in catastrophe models within the insurance sector. Develop and maintain global datasets and analytics offerings tailored for the insurance industry. Test model sensitivities and validate components using third-party data within an insurance context. Attention to Detail: High attention to detail in data processing and analysis relevant to insurance. Proactive and Team-Oriented: We value candidates who are proactive, open-minded, and willing to be team players.
We are working closely alongside a Local Authority in Bexley to assist with the appointment of a Performance & Data Analysist, on a 6-month contract, highly likely to be extended at clients discretion. To collate, analyse, monitor and challenge out turns and trends from performance management information to enable emerging issues to be brought to the attention of colleagues and advise service managers of implications to enable action to be taken to improve service delivery. You should have right to work in U. Important: We will interpret your application as being permission to submit your CV to this role (with the right to represent you) unless you advise us to the contrary.
At SEGULA Technologies you will have the opportunity to work on exciting projects and help shaping the future within an engineering company which is at the heart of innovation. Identification and management of users and roles in the tool (creation/evolution/deactivation of accounts)
Coordinate, develop and implement minor tool adaptations that are under the perimeter. We encourage, welcome and support applications from People of all genders and cultural backgrounds.
Our diverse teams of experts combine innovative thinking and breakthrough use of technologies to progress further, faster. An innovation and transformation consultancy, we are over 4,000+ specialists in consumer, defence and security, energy and utilities, financial services, government, health and life sciences, manufacturing, and transport. Qualifications
AWS is a significant growth area for us with a diverse and growing capability and we are looking for a data engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. We welcome international applications, but we are unable to offer sponsorship for work permits, so you will need to have the full right to live and work in the UK.
Our diverse teams of experts combine innovative thinking and breakthrough use of technologies to progress further, faster. An innovation and transformation consultancy, we are over 4,000+ specialists in consumer, defence and security, energy and utilities, financial services, government, health and life sciences, manufacturing, and transport. Our teams are trusted to deliver and given the space to be awesome. Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks. Qualifications
AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. We welcome international applications, but we are unable to offer sponsorship for work permits, so you will need to have the full right to live and work in the UK.
You will have the opportunity to develop innovative approaches to the complex problems we need to solve and will work alongside other EU Analysts and our centralized Engineering teams to play a role in our wider data community. Provide clear insight into the value and success of different buying policies we have built into our Stock Ordering Tool to ensure we are hitting the target levels of Waste and Availability. A high degree of curiosity, comfortable gathering and analyzing large amounts of data across a variety of business dimensions. And now, we're assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.