Kindred Group plc
The Role Online Casino is one of the core products at Kindred, a market leader in responsible gambling. It is with the aim of offering the best, safest and most relevant experience to our customers that we leverage Machine Learning and AI to personalise our casino experience. For that, we are looking for a Senior Data Scientist to join forces with Machine Learning Engineers, Business Analysts and product teams to deliver state of art solutions. As part of this process, you will be responsible for developing Data Science models, aligning roadmaps, supporting the growth of the Data Science team, and working closely with Machine Learning Engineers to productionise and A/B test solutions across different markets. From recommender systems to advanced search personalisation, there is no shortage of exciting and challenging projects for you to apply your experience. Maintaining and improving current solutions, proposing and delivering new workstreams, engaging with key stakeholders across the business, and fostering a culture of excellence are some of the keys to success in this role. As the team grows, you will also be expected to support and guide junior team members to broaden their skills and efficiency. What You Will Do Take ownership of execution against our Casino Personalisation roadmap by overseeing tech prioritisation and balancing hands-on contributions with strong stakeholder engagement. Take joint accountability with ML Engineering for the lifecycle of ML data products as they transition from research to production. Identify skill gaps and proactively address them, ensuring continuous skill development. Maintain strong relationships and communication at the interfaces of our domain, namely with our business owners and engineering teams. Contribute to building a culture of excellence within the wider Data Science and MLE organisations by aligning tools, best practices, processes, and governance. Raise the profile of the team by actively promoting work and team contributions across the organization. Hands-on delivery experience along with mentoring is desirable. Your Experience Bachelor's or advanced degree in a STEM subject. In-depth understanding and experience of recommender systems. Advanced knowledge of machine learning algorithms, general statistical methodologies and theory. Advanced knowledge of A/B testing and design of experiments. Exemplary Python programming and SQL skills, with experience using Spark for processing large datasets. Familiarity with cloud computing platforms, preferably experience with Amazon Web Services. Understanding of software product development processes and governance, including CI/CD processes, release and change management. Understanding of the machine learning product lifecycle, and how scientists and engineers collaborate in cross-functional product teams. Understanding of ML deployment paradigms including batch, event-driven, and request-response. Knowledge of GitOps processes for testing and deployment, e.g., Jenkins and Terraform, and a broad awareness of software development practices. Passionate about personal development for self and team members. Excellent interpersonal skills, able to explain complex concepts to stakeholders. A problem-solving growth mindset with the ability to quickly pick up new concepts. Good to have knowledge of Generative AI and NLP. Ensure adherence to Governance, Risk & Compliance (GRC) obligations for your role. Identify and raise any non-compliance incidents promptly to your line manager. Challenge processes, policies, and projects that will negatively impact compliance within the Group. Complete all mandatory compliance training assigned to you. Reach out to the Compliance Teams if unsure of any compliance obligations or if requirements are unclear.
The Role Online Casino is one of the core products at Kindred, a market leader in responsible gambling. It is with the aim of offering the best, safest and most relevant experience to our customers that we leverage Machine Learning and AI to personalise our casino experience. For that, we are looking for a Senior Data Scientist to join forces with Machine Learning Engineers, Business Analysts and product teams to deliver state of art solutions. As part of this process, you will be responsible for developing Data Science models, aligning roadmaps, supporting the growth of the Data Science team, and working closely with Machine Learning Engineers to productionise and A/B test solutions across different markets. From recommender systems to advanced search personalisation, there is no shortage of exciting and challenging projects for you to apply your experience. Maintaining and improving current solutions, proposing and delivering new workstreams, engaging with key stakeholders across the business, and fostering a culture of excellence are some of the keys to success in this role. As the team grows, you will also be expected to support and guide junior team members to broaden their skills and efficiency. What You Will Do Take ownership of execution against our Casino Personalisation roadmap by overseeing tech prioritisation and balancing hands-on contributions with strong stakeholder engagement. Take joint accountability with ML Engineering for the lifecycle of ML data products as they transition from research to production. Identify skill gaps and proactively address them, ensuring continuous skill development. Maintain strong relationships and communication at the interfaces of our domain, namely with our business owners and engineering teams. Contribute to building a culture of excellence within the wider Data Science and MLE organisations by aligning tools, best practices, processes, and governance. Raise the profile of the team by actively promoting work and team contributions across the organization. Hands-on delivery experience along with mentoring is desirable. Your Experience Bachelor's or advanced degree in a STEM subject. In-depth understanding and experience of recommender systems. Advanced knowledge of machine learning algorithms, general statistical methodologies and theory. Advanced knowledge of A/B testing and design of experiments. Exemplary Python programming and SQL skills, with experience using Spark for processing large datasets. Familiarity with cloud computing platforms, preferably experience with Amazon Web Services. Understanding of software product development processes and governance, including CI/CD processes, release and change management. Understanding of the machine learning product lifecycle, and how scientists and engineers collaborate in cross-functional product teams. Understanding of ML deployment paradigms including batch, event-driven, and request-response. Knowledge of GitOps processes for testing and deployment, e.g., Jenkins and Terraform, and a broad awareness of software development practices. Passionate about personal development for self and team members. Excellent interpersonal skills, able to explain complex concepts to stakeholders. A problem-solving growth mindset with the ability to quickly pick up new concepts. Good to have knowledge of Generative AI and NLP. Ensure adherence to Governance, Risk & Compliance (GRC) obligations for your role. Identify and raise any non-compliance incidents promptly to your line manager. Challenge processes, policies, and projects that will negatively impact compliance within the Group. Complete all mandatory compliance training assigned to you. Reach out to the Compliance Teams if unsure of any compliance obligations or if requirements are unclear.
Lloyds Banking Group
Senior Data Resilience Tooling Manager Lloyds Banking Group London - hybrid working two days per week in the office & rest from home Salary & Benefits: £100,657 - £118,420 per annum (experience dependent), plus annual personal bonus, 15% employer pension contribution, flexible benefits package, private medical insurance, 30 days holiday plus bank holidays. Flexibility Works: We're extremely flexible employers, offering a range of options to suit your lifestyle including flexible hours, flex-summer holidays, flex-bank holidays, great parental support and a real focus on finding work-life balance! About us We're the Chief Data & Analytics Office (CDAO) within Lloyds Banking Group! The mission of Group Chief Data and Analytics Office is to promote, embed and commercialise Data and Analytics practice and culture across Lloyds Banking Group. The Data Resilience team is a new chapter within the Chief Data and Analytics Office. It has the responsibility to define and embed new Strategies, Operating Models and Control Frameworks to protect the Banks critical data services that our customers, colleagues and the market rely upon. Background The aim of the team is to protect our customers, colleagues & markets by ensuring we comply with the spirit of the regulatory requirements for operational resilience established by the Bank of England, FCA and PRA. The Data Resilience team have 3 main objectives: Setting up a Data Pillar: identify & define critical data assets supporting critical business processes. Finding innovative and pioneering solutions to deliver Data Pillar in ServiceNow - perhaps first in the industry. Assess level of resilience around those assets. Key part of the assignment is to define/design/test and implement tooling requirements around this. Currently we use ServiceNow and InsPi Designer but are also looking into AI automation in 2025 to reduce manual overhead. The Data Resilience team are managing the E2E delivery of Data Resilience & Data Pillar Set-up, from requirements gathering, definition, user stories, ServiceNow platform, agree solutions, do the build, testing, implementation etc About the Role As part of the Programme, we are improving and developing the Bank's Operational resilience capability around our Important Business Services in line with published FCA and PRA regulation. In the Data workstream we are developing our ServiceNow and Tooling capability to stand-up a new Data Pillar alongside our existing Technology, People, Property and Supply Chain Pillars. This will enable the Bank to understand, map its critical data assets and assess data resilience across our businesses. You'll focus on what is required to make data resilient, how the data flows, where it is stored, and how do we make the processes surrounding it resilient. This role is looking at business services, applications, assets. You'll need to understand asset classes and have a technical mindset. The role looks at how the data flow and how resilient it is, which includes understanding the elements around it, like messaging queues, batches, databases, external connections and the controls dimensions for integrity, availability and protection. This is not a Data Governance or data quality management role. Key Responsibilities: You'll lead on the implementation of ServiceNow Data Resilience, from inception of requirements to testing of solutions. You'll lead a small team to ensure the business is set up for success in using the tool and that requirements are understood and implemented in an agile way. You'll lead on the end-to-end testing cycles, refining delivered solutions and ensuring alignment with Data Resilience strategy. You'll look at how data flows from source to destination across the technology landscape and what can be done to ensure there is no data loss, data corruption, ransomware/malware attacks and the data can be recovered within the impact tolerance of Important Business Services. You'll understand upcoming regulatory requirements that will impact Data Resilience and the tooling solution (DORA, CTP, Outsourcing and Operational Resilience Regulations etc.). You'll support the establishment of controls and assessment frameworks that identify data vulnerabilities across a complex data and technical landscape (e.g., on premise, 3rd party, middleware, databases, 3rd party applications, messaging queues, data feeds, data connections, APIs, batches, and cloud environments). You'll support the embedding of data assessments engaging a large and diverse stakeholder group including target operating model design, data resilience MI design, data resilience RCSA design, changes to operational resilience, data security, technology, and data policies to embed the standards governing data resilience. You'll analyse outcomes of data resilience annual assessments and identify vulnerabilities from a data perspective across availability, integrity, and security of data. You'll support the creation of data lineage using Ins-Pi and ServiceNow outlining the applications required for each step of the journey, upstream and downstream applications, how data moves in transit or is held at rest across the technology landscape. You'll present findings at senior Governance forums and help drive/shape the execution plan to remediate vulnerabilities next year. What we're looking for We'd welcome applicants from diverse cultural and technological backgrounds, however financial services exposure will be important for this position. We will need to see evidence of the following in your CV: Expert level of understanding of ServiceNow GRC, with experience of implementing bespoke modules. Experience of managing SME's including Solution Architects, Business Analysts & QA Testers. Experience in identifying data resiliency issues on middleware components e.g. batches, messaging queues, third party data connections, encryption, data recovery & backup, data vaulting, data integrity, and cloud technologies. Financial Services experience and exposure to understanding some but not all; payments, cards, pensions, insurance, markets, trade & settlement, logon customer journeys. Technical knowledge of FCA, PRA, EBA guidelines on operational resilience. Strong experience in managing risks and controls. Ability to present to C-Suite level executives and explain complex detail in a consumable format. Desirable (but please apply if you don't have them!) Exposure to Ins-pi Designer for drawing data lineage. Strong experience in batches, messaging queues, third party data connections, encryption, data recovery & backup, data vaulting, data integrity and cloud technologies is essential. Strong experience in Disaster Recovery, back-up and restore, cyber threats and monitoring, data encryption domains. About working for us We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. We're disability confident. So, if you'd like reasonable adjustments to be made to our recruitment processes, just let us know. Ready for a career where you can have a positive impact as you learn, grow and thrive? Apply today and find out more!
Senior Data Resilience Tooling Manager Lloyds Banking Group London - hybrid working two days per week in the office & rest from home Salary & Benefits: £100,657 - £118,420 per annum (experience dependent), plus annual personal bonus, 15% employer pension contribution, flexible benefits package, private medical insurance, 30 days holiday plus bank holidays. Flexibility Works: We're extremely flexible employers, offering a range of options to suit your lifestyle including flexible hours, flex-summer holidays, flex-bank holidays, great parental support and a real focus on finding work-life balance! About us We're the Chief Data & Analytics Office (CDAO) within Lloyds Banking Group! The mission of Group Chief Data and Analytics Office is to promote, embed and commercialise Data and Analytics practice and culture across Lloyds Banking Group. The Data Resilience team is a new chapter within the Chief Data and Analytics Office. It has the responsibility to define and embed new Strategies, Operating Models and Control Frameworks to protect the Banks critical data services that our customers, colleagues and the market rely upon. Background The aim of the team is to protect our customers, colleagues & markets by ensuring we comply with the spirit of the regulatory requirements for operational resilience established by the Bank of England, FCA and PRA. The Data Resilience team have 3 main objectives: Setting up a Data Pillar: identify & define critical data assets supporting critical business processes. Finding innovative and pioneering solutions to deliver Data Pillar in ServiceNow - perhaps first in the industry. Assess level of resilience around those assets. Key part of the assignment is to define/design/test and implement tooling requirements around this. Currently we use ServiceNow and InsPi Designer but are also looking into AI automation in 2025 to reduce manual overhead. The Data Resilience team are managing the E2E delivery of Data Resilience & Data Pillar Set-up, from requirements gathering, definition, user stories, ServiceNow platform, agree solutions, do the build, testing, implementation etc About the Role As part of the Programme, we are improving and developing the Bank's Operational resilience capability around our Important Business Services in line with published FCA and PRA regulation. In the Data workstream we are developing our ServiceNow and Tooling capability to stand-up a new Data Pillar alongside our existing Technology, People, Property and Supply Chain Pillars. This will enable the Bank to understand, map its critical data assets and assess data resilience across our businesses. You'll focus on what is required to make data resilient, how the data flows, where it is stored, and how do we make the processes surrounding it resilient. This role is looking at business services, applications, assets. You'll need to understand asset classes and have a technical mindset. The role looks at how the data flow and how resilient it is, which includes understanding the elements around it, like messaging queues, batches, databases, external connections and the controls dimensions for integrity, availability and protection. This is not a Data Governance or data quality management role. Key Responsibilities: You'll lead on the implementation of ServiceNow Data Resilience, from inception of requirements to testing of solutions. You'll lead a small team to ensure the business is set up for success in using the tool and that requirements are understood and implemented in an agile way. You'll lead on the end-to-end testing cycles, refining delivered solutions and ensuring alignment with Data Resilience strategy. You'll look at how data flows from source to destination across the technology landscape and what can be done to ensure there is no data loss, data corruption, ransomware/malware attacks and the data can be recovered within the impact tolerance of Important Business Services. You'll understand upcoming regulatory requirements that will impact Data Resilience and the tooling solution (DORA, CTP, Outsourcing and Operational Resilience Regulations etc.). You'll support the establishment of controls and assessment frameworks that identify data vulnerabilities across a complex data and technical landscape (e.g., on premise, 3rd party, middleware, databases, 3rd party applications, messaging queues, data feeds, data connections, APIs, batches, and cloud environments). You'll support the embedding of data assessments engaging a large and diverse stakeholder group including target operating model design, data resilience MI design, data resilience RCSA design, changes to operational resilience, data security, technology, and data policies to embed the standards governing data resilience. You'll analyse outcomes of data resilience annual assessments and identify vulnerabilities from a data perspective across availability, integrity, and security of data. You'll support the creation of data lineage using Ins-Pi and ServiceNow outlining the applications required for each step of the journey, upstream and downstream applications, how data moves in transit or is held at rest across the technology landscape. You'll present findings at senior Governance forums and help drive/shape the execution plan to remediate vulnerabilities next year. What we're looking for We'd welcome applicants from diverse cultural and technological backgrounds, however financial services exposure will be important for this position. We will need to see evidence of the following in your CV: Expert level of understanding of ServiceNow GRC, with experience of implementing bespoke modules. Experience of managing SME's including Solution Architects, Business Analysts & QA Testers. Experience in identifying data resiliency issues on middleware components e.g. batches, messaging queues, third party data connections, encryption, data recovery & backup, data vaulting, data integrity, and cloud technologies. Financial Services experience and exposure to understanding some but not all; payments, cards, pensions, insurance, markets, trade & settlement, logon customer journeys. Technical knowledge of FCA, PRA, EBA guidelines on operational resilience. Strong experience in managing risks and controls. Ability to present to C-Suite level executives and explain complex detail in a consumable format. Desirable (but please apply if you don't have them!) Exposure to Ins-pi Designer for drawing data lineage. Strong experience in batches, messaging queues, third party data connections, encryption, data recovery & backup, data vaulting, data integrity and cloud technologies is essential. Strong experience in Disaster Recovery, back-up and restore, cyber threats and monitoring, data encryption domains. About working for us We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. We're disability confident. So, if you'd like reasonable adjustments to be made to our recruitment processes, just let us know. Ready for a career where you can have a positive impact as you learn, grow and thrive? Apply today and find out more!
Lorien
Role: Sales Support Executive / Business Support Executive Location: Glasgow - Hybrid model (2 days office) Salary: 40,000 - 60,000 per annum The role: As a Sales Support Executive, you will play a crucial role in supporting the Account Management function. Your efforts will allow Account Managers to focus on generating ARR and building strong relationships. You will be the backbone of the client reporting platform, working closely with the Senior members of the team to design, develop, and deliver reports for QBR, EBR, and Leadership meetings. Your expertise will also be invaluable in assisting Account Managers with additional reporting requirements. In this role, you will be the first point of contact for internal finance queries, collaborating with Finance colleagues to resolve minor client issues. Your collaboration with the Marketing team will ensure that our key accounts receive appropriate coverage in our initiatives. You will also engage early with clients and Account Managers on renewals, working towards moving clients to longer-term agreements and maximising value from our contractual obligations. Your role will extend to liaising with our Governance, Risk, and Compliance (GRC) team to ensure timely provision of required reports, Pen Tests, and security certifications. Additionally, you will assist with the smooth running of Expansion-led ad-hoc projects as they arise. About you: To excel in this role you will have a proven background in a sales, revenue, or account support role. You should possess strong reporting skills and a solid understanding of sales tooling, including Salesforce or Gainsight ideally and be well versed in O365. Ideally have a background in Financial Services, Insurance, Payments or Investment Management and ideally have worked with an organisation delivering SaaS into these sectors. Your knowledge of revenue operations processes and the customer lifecycle, from lead generation to opportunity conversion, will be essential. Excellent communication, problem-solving, and project management skills are a must, along with the ability to work collaboratively across multiple teams. We are looking for someone who is customer-centric, adaptable, and confident in a data-driven environment. You should be committed to ensuring alignment and awareness of revenue goals, fostering strong relationships, and working collaboratively across teams. In return: If you are ready to be part of a dynamic team that is driving innovation across a number of key products, then we would love to hear from you. In return there is a Salary ranging 40,000 - 60,000 per annum plus an extensive benefit which includes bonus, pension, generous holidays and an additional 3.5k of perks. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Role: Sales Support Executive / Business Support Executive Location: Glasgow - Hybrid model (2 days office) Salary: 40,000 - 60,000 per annum The role: As a Sales Support Executive, you will play a crucial role in supporting the Account Management function. Your efforts will allow Account Managers to focus on generating ARR and building strong relationships. You will be the backbone of the client reporting platform, working closely with the Senior members of the team to design, develop, and deliver reports for QBR, EBR, and Leadership meetings. Your expertise will also be invaluable in assisting Account Managers with additional reporting requirements. In this role, you will be the first point of contact for internal finance queries, collaborating with Finance colleagues to resolve minor client issues. Your collaboration with the Marketing team will ensure that our key accounts receive appropriate coverage in our initiatives. You will also engage early with clients and Account Managers on renewals, working towards moving clients to longer-term agreements and maximising value from our contractual obligations. Your role will extend to liaising with our Governance, Risk, and Compliance (GRC) team to ensure timely provision of required reports, Pen Tests, and security certifications. Additionally, you will assist with the smooth running of Expansion-led ad-hoc projects as they arise. About you: To excel in this role you will have a proven background in a sales, revenue, or account support role. You should possess strong reporting skills and a solid understanding of sales tooling, including Salesforce or Gainsight ideally and be well versed in O365. Ideally have a background in Financial Services, Insurance, Payments or Investment Management and ideally have worked with an organisation delivering SaaS into these sectors. Your knowledge of revenue operations processes and the customer lifecycle, from lead generation to opportunity conversion, will be essential. Excellent communication, problem-solving, and project management skills are a must, along with the ability to work collaboratively across multiple teams. We are looking for someone who is customer-centric, adaptable, and confident in a data-driven environment. You should be committed to ensuring alignment and awareness of revenue goals, fostering strong relationships, and working collaboratively across teams. In return: If you are ready to be part of a dynamic team that is driving innovation across a number of key products, then we would love to hear from you. In return there is a Salary ranging 40,000 - 60,000 per annum plus an extensive benefit which includes bonus, pension, generous holidays and an additional 3.5k of perks. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.