Why Join Us? You will be a key leader within one of our core pillars, working within the Times Product Customer Team. The team is made up of cross-functional squads of Product, Design, and Product Business Analysis professionals, supported by dedicated Delivery and Engineering teams. You'll be joining at an exciting time in our product evolution, with the opportunity to execute product strategy and make a significant impact on our digital offerings. Role Senior Product Business Analyst sits at the intersection of product thinking, commercial analysis, and delivery execution. Although assigned to either Content or Customer, this role operates dynamically across pillars, stepping into Product or Delivery spaces where needed, owning analysis end-to-end, and holding accountability for the outcomes of the features. The right person brings a product and user-problems mindset, uses AI as a daily practice tool, and is comfortable influencing a roadmap as they are writing a user flow. Your Team You will join the Times Media Product team, reporting into the Head of Business Analysis with a dotted line to the Principal Product BA in your assigned team, acting as a strategic partner between Product & Technology and our core Business stakeholder areas depending on your assigned team: Content, Monetisation or Customer. Day to day you will Own the end-to-end discovery lifecycle on complex initiatives across multiple pillars, owning the analysis from problem definition through to a build-ready solution Execute discovery and analysis techniques - including user journeys, service blueprints, process mapping, data mapping, and user flows - to define to-be experiences and expose logic risks Prioritise MVP scope using hypotheses to prove value, negotiating with stakeholders to keep the team lean and focused on high-impact wins over scope creep Transform raw customer behavioural data into actionable requirements, validating post-launch metrics to confirm solutions delivered their intended business impact Apply commercial literacy to connect analysis to revenue impact, cost trade-offs, and business opportunity - framing recommendations in ways that actively steer roadmap and product decisions Maintain active awareness of the competitive landscape, incorporating competitor intelligence into discovery and prioritisation Build strong relationships with key executive stakeholders, and align stakeholders and squads around objective data and evidence, leading workshops to drive rapid agreement on goals, priorities, and scope Act as a versatile lead when required, covering prioritisation, sequencing, and reporting to ensure initiatives maintain momentum without waiting for a gap to be filled Use AI as a daily practice tool to iterate on documentation, logic flows, edge case analysis, and requirements drafting, automating low-value tasks to protect time for high-impact work What we're looking for from you Proven experience leading end-to-end discovery on complex, cross-functional product initiatives with demonstrable impact on product outcomes Strong command of discovery and analysis techniques: user journey mapping, service blueprints, process and data mapping, user flows, and functional logic design A track record of rapidly integrating into new teams, decoding complex domain contexts, and building stakeholder trust quickly Proficiency in using behavioural analytics tools such as ContentSquare, to challenge assumptions, derive product insights, and ensure solutions deliver measurable business impact Experience contributing directly to roadmap input or prioritisation, with a track record of influencing product direction through analysis and research - not just documenting decisions made by others Ability to frame analysis in commercial terms and apply competitive awareness to shape product and discovery decisions Confident facilitator and communicator, able to align senior stakeholders around evidence-based decisions and distil complex analysis into clear, persuasive narratives Comfortable working dynamically across multiple teams without a fixed assignment - a self-starter who builds context quickly and operates with minimal direction Demonstrable use of AI tools in day-to-day analytical work, with a clear view on how to use them to increase output quality and reduce time on low-value tasks News UK is one of the leading media businesses in the UK and Ireland. Our newsbrands include The Times, The Sunday Times, The Sun, The Sun on Sunday and The TLS. Our national broadcast brands include talkSPORT, Times Radio and Virgin Radio UK, and we have market-leading local stations across Ireland. Our world-famous brands provide news, analysis, opinion and entertainment to almost 40 million people each month. Spanning print and pixel, audio and video, events and experiences, our multi-format brands are home to a plurality of opinion, representing the diverse communities we serve. Driven by passion, guided by principles and acting with purpose, we exist to promote a fair society, freedom of speech and a little bit of fun. Rethinking continually the business of storytelling, we represent, reflect and reach the nation, telling the stories that matter. At News UK, we embrace a hybrid work model, currently requiring a minimum of three days per week in the office. This approach fosters collaboration, innovation, and team spirit within our workspace. Certain roles may necessitate additional in-office days; please discuss this with your recruiter for specific requirements. Life at News Driven by passion, guided by principles and acting with purpose. We represent, reflect and reach the nation, telling the stories that matter. We inform our audiences so that they can make decisions based on trusted information. We represent, reflect and reach the nation, telling the stories that matter most. To ensure these stories resonate with as broad an audience as possible, it is essential that our organisation reflects the diversity of the people we reach. Whether through age, gender, ethnicity, disability, social class or sexuality, we are committed to representing the rich variety of voices that make up our society. And we champion a culture where everyone has the opportunity to contribute and thrive as we continue to innovate and drive long term sustainable growth. This is done through our Diversity Strategy. At News UK, we take pride in our exceptional employee-led networks that bring together individuals with shared interests and create a vibrant sense of community. We believe our networks play a vital role in fostering a collaborative and supportive work culture at News UK. Groups that we support include the African & Caribbean Network, Parents and Carers, and LGBTQ+ group News Is Out, and the Apprentice Society. Benefits Private medical insurance including coverage for pre-existing conditions Discounted gym memberships, free ClassPass at Home, weekly in person/ virtual exercise classes 'Bikes for Work' and 'Electric Car' scheme Up to 60% discount on Harper Collins books Maternity leave up to 18 weeks full basic salary & paternity leave up to 2 weeks Access to exclusive events and competitions with exciting brands such as talkSPORT, Virgin Radio UK & The Times. Weekly virtual panel chats with top journalists and celebrities Access to wellbeing benefits such as EAP, physio/massage and counselling A generous pension scheme with employer contributions of up to 5% Wide range of training available, plus full LinkedIn Learning access 25 days holiday, plus bank holidays and up to 4 volunteering days per year We are committed to providing an inclusive recruitment process. If you require reasonable adjustments due to a disability or health condition at any stage of your application or interview, please let us know. You can contact us at to discuss how we can support you to perform at your best.
05/06/2026
Full time
Why Join Us? You will be a key leader within one of our core pillars, working within the Times Product Customer Team. The team is made up of cross-functional squads of Product, Design, and Product Business Analysis professionals, supported by dedicated Delivery and Engineering teams. You'll be joining at an exciting time in our product evolution, with the opportunity to execute product strategy and make a significant impact on our digital offerings. Role Senior Product Business Analyst sits at the intersection of product thinking, commercial analysis, and delivery execution. Although assigned to either Content or Customer, this role operates dynamically across pillars, stepping into Product or Delivery spaces where needed, owning analysis end-to-end, and holding accountability for the outcomes of the features. The right person brings a product and user-problems mindset, uses AI as a daily practice tool, and is comfortable influencing a roadmap as they are writing a user flow. Your Team You will join the Times Media Product team, reporting into the Head of Business Analysis with a dotted line to the Principal Product BA in your assigned team, acting as a strategic partner between Product & Technology and our core Business stakeholder areas depending on your assigned team: Content, Monetisation or Customer. Day to day you will Own the end-to-end discovery lifecycle on complex initiatives across multiple pillars, owning the analysis from problem definition through to a build-ready solution Execute discovery and analysis techniques - including user journeys, service blueprints, process mapping, data mapping, and user flows - to define to-be experiences and expose logic risks Prioritise MVP scope using hypotheses to prove value, negotiating with stakeholders to keep the team lean and focused on high-impact wins over scope creep Transform raw customer behavioural data into actionable requirements, validating post-launch metrics to confirm solutions delivered their intended business impact Apply commercial literacy to connect analysis to revenue impact, cost trade-offs, and business opportunity - framing recommendations in ways that actively steer roadmap and product decisions Maintain active awareness of the competitive landscape, incorporating competitor intelligence into discovery and prioritisation Build strong relationships with key executive stakeholders, and align stakeholders and squads around objective data and evidence, leading workshops to drive rapid agreement on goals, priorities, and scope Act as a versatile lead when required, covering prioritisation, sequencing, and reporting to ensure initiatives maintain momentum without waiting for a gap to be filled Use AI as a daily practice tool to iterate on documentation, logic flows, edge case analysis, and requirements drafting, automating low-value tasks to protect time for high-impact work What we're looking for from you Proven experience leading end-to-end discovery on complex, cross-functional product initiatives with demonstrable impact on product outcomes Strong command of discovery and analysis techniques: user journey mapping, service blueprints, process and data mapping, user flows, and functional logic design A track record of rapidly integrating into new teams, decoding complex domain contexts, and building stakeholder trust quickly Proficiency in using behavioural analytics tools such as ContentSquare, to challenge assumptions, derive product insights, and ensure solutions deliver measurable business impact Experience contributing directly to roadmap input or prioritisation, with a track record of influencing product direction through analysis and research - not just documenting decisions made by others Ability to frame analysis in commercial terms and apply competitive awareness to shape product and discovery decisions Confident facilitator and communicator, able to align senior stakeholders around evidence-based decisions and distil complex analysis into clear, persuasive narratives Comfortable working dynamically across multiple teams without a fixed assignment - a self-starter who builds context quickly and operates with minimal direction Demonstrable use of AI tools in day-to-day analytical work, with a clear view on how to use them to increase output quality and reduce time on low-value tasks News UK is one of the leading media businesses in the UK and Ireland. Our newsbrands include The Times, The Sunday Times, The Sun, The Sun on Sunday and The TLS. Our national broadcast brands include talkSPORT, Times Radio and Virgin Radio UK, and we have market-leading local stations across Ireland. Our world-famous brands provide news, analysis, opinion and entertainment to almost 40 million people each month. Spanning print and pixel, audio and video, events and experiences, our multi-format brands are home to a plurality of opinion, representing the diverse communities we serve. Driven by passion, guided by principles and acting with purpose, we exist to promote a fair society, freedom of speech and a little bit of fun. Rethinking continually the business of storytelling, we represent, reflect and reach the nation, telling the stories that matter. At News UK, we embrace a hybrid work model, currently requiring a minimum of three days per week in the office. This approach fosters collaboration, innovation, and team spirit within our workspace. Certain roles may necessitate additional in-office days; please discuss this with your recruiter for specific requirements. Life at News Driven by passion, guided by principles and acting with purpose. We represent, reflect and reach the nation, telling the stories that matter. We inform our audiences so that they can make decisions based on trusted information. We represent, reflect and reach the nation, telling the stories that matter most. To ensure these stories resonate with as broad an audience as possible, it is essential that our organisation reflects the diversity of the people we reach. Whether through age, gender, ethnicity, disability, social class or sexuality, we are committed to representing the rich variety of voices that make up our society. And we champion a culture where everyone has the opportunity to contribute and thrive as we continue to innovate and drive long term sustainable growth. This is done through our Diversity Strategy. At News UK, we take pride in our exceptional employee-led networks that bring together individuals with shared interests and create a vibrant sense of community. We believe our networks play a vital role in fostering a collaborative and supportive work culture at News UK. Groups that we support include the African & Caribbean Network, Parents and Carers, and LGBTQ+ group News Is Out, and the Apprentice Society. Benefits Private medical insurance including coverage for pre-existing conditions Discounted gym memberships, free ClassPass at Home, weekly in person/ virtual exercise classes 'Bikes for Work' and 'Electric Car' scheme Up to 60% discount on Harper Collins books Maternity leave up to 18 weeks full basic salary & paternity leave up to 2 weeks Access to exclusive events and competitions with exciting brands such as talkSPORT, Virgin Radio UK & The Times. Weekly virtual panel chats with top journalists and celebrities Access to wellbeing benefits such as EAP, physio/massage and counselling A generous pension scheme with employer contributions of up to 5% Wide range of training available, plus full LinkedIn Learning access 25 days holiday, plus bank holidays and up to 4 volunteering days per year We are committed to providing an inclusive recruitment process. If you require reasonable adjustments due to a disability or health condition at any stage of your application or interview, please let us know. You can contact us at to discuss how we can support you to perform at your best.
Fawkes and Reece is one of the UK's leading construction recruitment specialists, with 9 offices nationwide and a reputation built on excellence, delivery, and results. As we approach our 25th anniversary, data is playing an increasingly important role in shaping our business strategy and future growth. We are now looking for a Graduate Data Analyst to join our team and support data led decision making across the group. This is an exciting opportunity for a recent graduate looking to kick start their career in data and analytics within a fast paced, commercial environment. You will gain hands on experience working with real business data, learning how insights directly impact performance, strategy, and growth The Role As a Apprentince Data Analyst, you will support the business by transforming data into meaningful insights that help drive performance across sales, recruitment, and operations. You'll be given full training and ongoing support, with the opportunity to learn on the job from experienced stakeholders across multiple departments. This role offers exposure to the full business, allowing you to develop both technical and commercial skills. Key responsibilities include: Supporting the collection, organisation, and analysis of data across multiple business functions Assisting in building and maintaining reports and dashboards using Excel Analysing trends and patterns to provide insights that support business decisions Working closely with different teams to understand their data needs and requirements Helping to improve data processes and reporting accuracy Maintaining clean, accurate, and up to date data across internal systems Presenting insights in a clear, concise, and easy to understand format Supporting senior stakeholders with data driven recommendations What We're Looking For We are looking for someone with strong potential, a positive attitude, and a genuine interest in building a career in data. A recent graduate (or graduating soon), ideally in a numerical or analytical subject such as Maths, Economics, Business, Data Analytics, or similar Strong Excel skills, or a willingness and ability to develop them quickly A natural interest in data, numbers, and problem solving High attention to detail and strong organisational skills Good communication skills and the ability to explain ideas clearly to non technical stakeholders A proactive mindset with a willingness to learn and take ownership Ability to work in a fast paced, deadline driven environment What's in It for You? Structured training and continuous development Clear progression opportunities within a growing organisation Hands on experience with real business data from day one Exposure to senior stakeholders and strategic decision making Opportunity to build both technical and commercial skill sets A role where your work will have real impact and visibility Why Fawkes & Reece Regular team and company social events, including high achievers' trips Summer and Christmas parties Free fruit and breakfast (including Friday breakfast) Early finish every Friday Increasing annual leave with service Monthly prizes and recognition awards 4x salary life insurance Free wellness app with access to wellbeing initiatives If you're looking for a role where you'll be supported, challenged, and given real responsibility from day one, we'd love to hear from you. Apply now or get in touch with our Stephen in the talent Team to find out more.
04/06/2026
Full time
Fawkes and Reece is one of the UK's leading construction recruitment specialists, with 9 offices nationwide and a reputation built on excellence, delivery, and results. As we approach our 25th anniversary, data is playing an increasingly important role in shaping our business strategy and future growth. We are now looking for a Graduate Data Analyst to join our team and support data led decision making across the group. This is an exciting opportunity for a recent graduate looking to kick start their career in data and analytics within a fast paced, commercial environment. You will gain hands on experience working with real business data, learning how insights directly impact performance, strategy, and growth The Role As a Apprentince Data Analyst, you will support the business by transforming data into meaningful insights that help drive performance across sales, recruitment, and operations. You'll be given full training and ongoing support, with the opportunity to learn on the job from experienced stakeholders across multiple departments. This role offers exposure to the full business, allowing you to develop both technical and commercial skills. Key responsibilities include: Supporting the collection, organisation, and analysis of data across multiple business functions Assisting in building and maintaining reports and dashboards using Excel Analysing trends and patterns to provide insights that support business decisions Working closely with different teams to understand their data needs and requirements Helping to improve data processes and reporting accuracy Maintaining clean, accurate, and up to date data across internal systems Presenting insights in a clear, concise, and easy to understand format Supporting senior stakeholders with data driven recommendations What We're Looking For We are looking for someone with strong potential, a positive attitude, and a genuine interest in building a career in data. A recent graduate (or graduating soon), ideally in a numerical or analytical subject such as Maths, Economics, Business, Data Analytics, or similar Strong Excel skills, or a willingness and ability to develop them quickly A natural interest in data, numbers, and problem solving High attention to detail and strong organisational skills Good communication skills and the ability to explain ideas clearly to non technical stakeholders A proactive mindset with a willingness to learn and take ownership Ability to work in a fast paced, deadline driven environment What's in It for You? Structured training and continuous development Clear progression opportunities within a growing organisation Hands on experience with real business data from day one Exposure to senior stakeholders and strategic decision making Opportunity to build both technical and commercial skill sets A role where your work will have real impact and visibility Why Fawkes & Reece Regular team and company social events, including high achievers' trips Summer and Christmas parties Free fruit and breakfast (including Friday breakfast) Early finish every Friday Increasing annual leave with service Monthly prizes and recognition awards 4x salary life insurance Free wellness app with access to wellbeing initiatives If you're looking for a role where you'll be supported, challenged, and given real responsibility from day one, we'd love to hear from you. Apply now or get in touch with our Stephen in the talent Team to find out more.
Anglian Water Group Ltd.
Peterborough, Cambridgeshire
Data Analyst ApprenticeshipApplylocations: Peterboroughtime type: Full timeposted on: Posted Todayjob requisition id: R37658 Apprenticeship type: Level 4 Data Analyst Apprenticeship Start Salary: £23,500 Location: Successful apprentice will be based from Thorpe Wood House, Peterborough a minimum of 3 days a week, with a requirement to travel to other Anglian Water offices, so flexibility is essential. Start date: 7th September 2026 Are you curious about data and love working with numbers? Start a career where your insights will make a real impact! At Anglian Water, we're passionate about creating a sustainable future for our environment and the communities we serve. Every day, we manage and protect a vast network of assets, delivering essential services to millions of customers, and data is at the heart of how we do it. As a Data Analyst apprentice, you won't just be working with numbers, you'll help us make smarter decisions, improve our services, and protect our environment for generations to come. You will explore how artificial intelligence can enhance the way we use data - from automating processes and uncovering deeper insights to helping predict future challenges and opportunities across our networks and services, you'll be part of work that has a real, visible impact across our region. Data Analyst Apprenticeship at Anglian Water You will be at the heart of creating reports, insights and visualisations that bring data to life, as well as explore how AI can be used to enhance analysis, improve accuracy and uncover patterns that might otherwise go unseen. You'll also help identify trends and opportunities, contributing to decision-making and continuous improvement across the business.Throughout your apprenticeship, you'll gain hands-on experience working with real business data - collecting, validating and organising information from multiple sources, using tools and databases to analyse and interpret results, and supporting the creation of reports, insights and visualisations that bring data to life.Alongside completing your Level 4 Data Analyst Apprenticeship, you'll develop technical skills and build knowledge in areas such as analytics, data structures and visualisation. Working with teams across the organisation, you'll learn how to communicate insights clearly, collaborate effectively, and make a meaningful impact from day one. Training and Progression Pathway You'll be enrolled on a remote 2-year programme with QA working towards your Level 4 Data Analyst Apprenticeship while building your technical expertise and developing the skills needed for a long-term career in data. To be successful as an Apprentice with us you will require: Evidence of a Level 3 Qualification (apprenticeship/A-levels/BTEC) Evidence of 5 GCSEs including Maths & English at Grade 4 (C) or above Experience with using Excel (in particular pivot tables and XLookup) and Microsoft products (or similar) Full UK driving license by the start of the apprenticeship A genuine interest indata, technology and problem-solving A willingness to learn and develop new skills A collaborative mindset and ability to work effectively with others to achieve shared goals Why join Anglian Water? Gain a Level 4 Data Analyst qualification - fully supported! Generous Holiday Allowance - 25 days of annual leave, rising with service, and the option to buy or sell additional leave to suit your lifestyle Outstanding Pension Scheme 7% - Anglian Water double-matches your contributions, up to a 14% employer contribution Private Health Care - Access to personal private medical insurance Flexible benefits to support your wellbeing and lifestyle, and an extensive range of retail discounts Next Steps: Submit your CV and answer the screening questions to share more about you and your motivations for applying. Shortlisted candidates will then be invited to attend a final stage, in-person assessment centre on Tuesday 7th July 2026 in Huntingdon. I nclusion at Anglian Water Inclusion is for everyone, and we are an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and their passion for creating better outcomes, and we're committed to creating an environment where all our colleagues feel they belong. About UsWe are committed to reflect the diversity of the communities we serve in both our workforce and our supply chain partners to help us to understand and meet the needs of our customers. We are passionate and dedicated to the learning and development of our people, making sure they have the right skills and knowledge to be successful and to help achieve their potential.We want to give everyone equal access to our recruitment process. If you have a disability or long-term condition, including neurodiversity and mental health conditions, we'll support you throughout your application, and make any adjustments to make sure your disability or long-term condition is not a barrier to recruitment. If you need any support, please get reach out to our team 'To apply, you'll need your up-to-date CV, we also recommend uploading a cover letter - tell us what has made you apply and what skills you can bring to the position. We will be in touch after your application has been reviewed, following the closing date.If you are offered a job with us, you'll be subject to the relevant employment checks for your role, which could include references, driving licence check, DBS Check as well as your right to work in the UK. More information about how we look after and use your information can be found in our Privacy Notice.Become a part of Anglian Water's future and join us on our journey as we live through our values to build trust, do the right thing, and are always exploring, to bring environmental and social prosperity to the region.
04/06/2026
Full time
Data Analyst ApprenticeshipApplylocations: Peterboroughtime type: Full timeposted on: Posted Todayjob requisition id: R37658 Apprenticeship type: Level 4 Data Analyst Apprenticeship Start Salary: £23,500 Location: Successful apprentice will be based from Thorpe Wood House, Peterborough a minimum of 3 days a week, with a requirement to travel to other Anglian Water offices, so flexibility is essential. Start date: 7th September 2026 Are you curious about data and love working with numbers? Start a career where your insights will make a real impact! At Anglian Water, we're passionate about creating a sustainable future for our environment and the communities we serve. Every day, we manage and protect a vast network of assets, delivering essential services to millions of customers, and data is at the heart of how we do it. As a Data Analyst apprentice, you won't just be working with numbers, you'll help us make smarter decisions, improve our services, and protect our environment for generations to come. You will explore how artificial intelligence can enhance the way we use data - from automating processes and uncovering deeper insights to helping predict future challenges and opportunities across our networks and services, you'll be part of work that has a real, visible impact across our region. Data Analyst Apprenticeship at Anglian Water You will be at the heart of creating reports, insights and visualisations that bring data to life, as well as explore how AI can be used to enhance analysis, improve accuracy and uncover patterns that might otherwise go unseen. You'll also help identify trends and opportunities, contributing to decision-making and continuous improvement across the business.Throughout your apprenticeship, you'll gain hands-on experience working with real business data - collecting, validating and organising information from multiple sources, using tools and databases to analyse and interpret results, and supporting the creation of reports, insights and visualisations that bring data to life.Alongside completing your Level 4 Data Analyst Apprenticeship, you'll develop technical skills and build knowledge in areas such as analytics, data structures and visualisation. Working with teams across the organisation, you'll learn how to communicate insights clearly, collaborate effectively, and make a meaningful impact from day one. Training and Progression Pathway You'll be enrolled on a remote 2-year programme with QA working towards your Level 4 Data Analyst Apprenticeship while building your technical expertise and developing the skills needed for a long-term career in data. To be successful as an Apprentice with us you will require: Evidence of a Level 3 Qualification (apprenticeship/A-levels/BTEC) Evidence of 5 GCSEs including Maths & English at Grade 4 (C) or above Experience with using Excel (in particular pivot tables and XLookup) and Microsoft products (or similar) Full UK driving license by the start of the apprenticeship A genuine interest indata, technology and problem-solving A willingness to learn and develop new skills A collaborative mindset and ability to work effectively with others to achieve shared goals Why join Anglian Water? Gain a Level 4 Data Analyst qualification - fully supported! Generous Holiday Allowance - 25 days of annual leave, rising with service, and the option to buy or sell additional leave to suit your lifestyle Outstanding Pension Scheme 7% - Anglian Water double-matches your contributions, up to a 14% employer contribution Private Health Care - Access to personal private medical insurance Flexible benefits to support your wellbeing and lifestyle, and an extensive range of retail discounts Next Steps: Submit your CV and answer the screening questions to share more about you and your motivations for applying. Shortlisted candidates will then be invited to attend a final stage, in-person assessment centre on Tuesday 7th July 2026 in Huntingdon. I nclusion at Anglian Water Inclusion is for everyone, and we are an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and their passion for creating better outcomes, and we're committed to creating an environment where all our colleagues feel they belong. About UsWe are committed to reflect the diversity of the communities we serve in both our workforce and our supply chain partners to help us to understand and meet the needs of our customers. We are passionate and dedicated to the learning and development of our people, making sure they have the right skills and knowledge to be successful and to help achieve their potential.We want to give everyone equal access to our recruitment process. If you have a disability or long-term condition, including neurodiversity and mental health conditions, we'll support you throughout your application, and make any adjustments to make sure your disability or long-term condition is not a barrier to recruitment. If you need any support, please get reach out to our team 'To apply, you'll need your up-to-date CV, we also recommend uploading a cover letter - tell us what has made you apply and what skills you can bring to the position. We will be in touch after your application has been reviewed, following the closing date.If you are offered a job with us, you'll be subject to the relevant employment checks for your role, which could include references, driving licence check, DBS Check as well as your right to work in the UK. More information about how we look after and use your information can be found in our Privacy Notice.Become a part of Anglian Water's future and join us on our journey as we live through our values to build trust, do the right thing, and are always exploring, to bring environmental and social prosperity to the region.
Join our Credit & Underwriting team! We're looking for a Senior Data Scientist who loves building machine learning models and solving ambiguous data problems. This is a fully remote data science role within a growing mission driven fintech. You'll own the models that shape loan eligibility and pricing across 5 African markets. This is a small team with big responsibility, where your work directly shapes lending strategy for millions of customers. The Impact Your models will directly shape how millions of underserved customers access credit for the first time. We've already helped over 7 million customers access over $2 billion in credit, and we process over 1.5 million payments daily. It's your chance to be part of something that's literally transforming lives across an entire continent. The Opportunity Mission driven data science: Build credit scoring and pricing models that expand financial access for customers traditionally excluded from formal lending Global recognition: Join a company named by TIME 100 as one of the world's most influential and by the Financial Times as Africa's fastest growing for 4 consecutive years () Scale challenges: Work with rich repayment datasets across 5 African markets, developing ML models that balance growth with credit risk at scale Environmental impact: We're carbon negative, having displaced over 2.1 million tonnes of emissions What You'll Do At M KOPA, you'll build and refine the machine learning and credit risk models that power our lending strategy. You'll sit within a small, high performing team with end to end ownership of credit scoring, loan eligibility, and pricing optimisation-working cross functionally with engineers, analysts, growth managers, and commercial stakeholders across multiple countries. Join us in combining cutting edge data science with purpose driven work that makes digital and financial inclusion possible across Africa. Day to day, you'll be: Building and refining credit scoring and risk modelling solutions that assess customer creditworthiness, default risk, and loan pricing across multiple markets Developing and testing ML models for loan eligibility and pricing optimisation through A/B testing and statistical analysis Continuously improving eligibility criteria by analysing repayment data, engineering new features, and monitoring credit performance for risk shifts and margin impact Collaborating cross functionally with engineers, data scientists, and commercial stakeholders to scale models into production Technical Environment Languages & Libraries: Python, SQL, scikit learn, pandas, numpy, and relevant ML libraries Techniques: Predictive modelling, classification/regression, feature engineering, model selection, hyperparameter tuning, A/B testing Domain: Credit scoring, underwriting, loan pricing, risk analytics Our Team Approach Low ego environment where diversity, innovation, and collaboration drive both commercial growth and social impact High degree of ownership over your domain - you're empowered to make data driven decisions and prioritise solutions Cross functional collaboration with engineering, product, and commercial teams across multiple countries Analytical rigour combined with deep market understanding to serve customers excluded from formal financial services What You Need Experience building predictive models, particularly credit scoring, risk models, or similar classification/regression problems Strong ML background with hands on experience in model development, validation, deployment, and performance monitoring Proficiency in Python, SQL, and relevant ML libraries (scikit learn, pandas, numpy, etc.) with experience in feature engineering, model selection, and hyperparameter tuning Experience translating complex model outputs into actionable business strategies and stakeholder communications Ability to work cross functionally with product, engineering, and commercial teams Strong data communication skills - written, oral, and visual Highly Desirable Experience in credit, underwriting, lending analytics, or fintech modelling Location & Benefits Fully remote Data Scientist role within UTC 1 to UTC +3 time zones Work with diverse teams across UK, Europe, and Africa Professional development programmes and coaching partnerships Family friendly policies and flexible working arrangements Well being support and career growth opportunities M KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M KOPA explicitly prohibits the use of forced or child labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M KOPA shall ensure that its employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships. M KOPA does not collect or charge any money as a pre employment or post employment requirement. This means that we never ask for 'recruitment fees', 'processing fees', 'interview fees', or any other kind of money in exchange for offer letters or interviews at any time during the hiring process. Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date. If your application is successful M KOPA undertakes pre employment background checks as part of its recruitment process, these include criminal records, identification verification, academic qualifications, employment dates and employer references.
04/06/2026
Full time
Join our Credit & Underwriting team! We're looking for a Senior Data Scientist who loves building machine learning models and solving ambiguous data problems. This is a fully remote data science role within a growing mission driven fintech. You'll own the models that shape loan eligibility and pricing across 5 African markets. This is a small team with big responsibility, where your work directly shapes lending strategy for millions of customers. The Impact Your models will directly shape how millions of underserved customers access credit for the first time. We've already helped over 7 million customers access over $2 billion in credit, and we process over 1.5 million payments daily. It's your chance to be part of something that's literally transforming lives across an entire continent. The Opportunity Mission driven data science: Build credit scoring and pricing models that expand financial access for customers traditionally excluded from formal lending Global recognition: Join a company named by TIME 100 as one of the world's most influential and by the Financial Times as Africa's fastest growing for 4 consecutive years () Scale challenges: Work with rich repayment datasets across 5 African markets, developing ML models that balance growth with credit risk at scale Environmental impact: We're carbon negative, having displaced over 2.1 million tonnes of emissions What You'll Do At M KOPA, you'll build and refine the machine learning and credit risk models that power our lending strategy. You'll sit within a small, high performing team with end to end ownership of credit scoring, loan eligibility, and pricing optimisation-working cross functionally with engineers, analysts, growth managers, and commercial stakeholders across multiple countries. Join us in combining cutting edge data science with purpose driven work that makes digital and financial inclusion possible across Africa. Day to day, you'll be: Building and refining credit scoring and risk modelling solutions that assess customer creditworthiness, default risk, and loan pricing across multiple markets Developing and testing ML models for loan eligibility and pricing optimisation through A/B testing and statistical analysis Continuously improving eligibility criteria by analysing repayment data, engineering new features, and monitoring credit performance for risk shifts and margin impact Collaborating cross functionally with engineers, data scientists, and commercial stakeholders to scale models into production Technical Environment Languages & Libraries: Python, SQL, scikit learn, pandas, numpy, and relevant ML libraries Techniques: Predictive modelling, classification/regression, feature engineering, model selection, hyperparameter tuning, A/B testing Domain: Credit scoring, underwriting, loan pricing, risk analytics Our Team Approach Low ego environment where diversity, innovation, and collaboration drive both commercial growth and social impact High degree of ownership over your domain - you're empowered to make data driven decisions and prioritise solutions Cross functional collaboration with engineering, product, and commercial teams across multiple countries Analytical rigour combined with deep market understanding to serve customers excluded from formal financial services What You Need Experience building predictive models, particularly credit scoring, risk models, or similar classification/regression problems Strong ML background with hands on experience in model development, validation, deployment, and performance monitoring Proficiency in Python, SQL, and relevant ML libraries (scikit learn, pandas, numpy, etc.) with experience in feature engineering, model selection, and hyperparameter tuning Experience translating complex model outputs into actionable business strategies and stakeholder communications Ability to work cross functionally with product, engineering, and commercial teams Strong data communication skills - written, oral, and visual Highly Desirable Experience in credit, underwriting, lending analytics, or fintech modelling Location & Benefits Fully remote Data Scientist role within UTC 1 to UTC +3 time zones Work with diverse teams across UK, Europe, and Africa Professional development programmes and coaching partnerships Family friendly policies and flexible working arrangements Well being support and career growth opportunities M KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M KOPA explicitly prohibits the use of forced or child labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M KOPA shall ensure that its employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships. M KOPA does not collect or charge any money as a pre employment or post employment requirement. This means that we never ask for 'recruitment fees', 'processing fees', 'interview fees', or any other kind of money in exchange for offer letters or interviews at any time during the hiring process. Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date. If your application is successful M KOPA undertakes pre employment background checks as part of its recruitment process, these include criminal records, identification verification, academic qualifications, employment dates and employer references.
Overview Job title Senior Developer (Integrations) Salary Starting from £42,784, rising to £50,049 Are you a creative developer who enjoys working on integrations? Do you enjoy designing and supporting integrations that connect enterprise systems and improve how organisations use data? We have an exciting opportunity for a Senior Developer (Integrations) to join the University of Bath's Digital, Data & Technology (DDaT) department. This role sits within the HR & Finance Systems team and focuses on the development, support, and continuous improvement of integrations across key University platforms, including the Agresso Finance system, HR systems, and other enterprise applications. Working as part of a collaborative agile team, you will support system-to-system integrations using various integration platforms, helping to ensure integrations are secure, reliable, and effectively maintained within a live operational environment. About You You are comfortable working across back-end systems and integrations, and you understand how strong technical foundations, good documentation, and collaboration contribute to long-term service stability. You are motivated by solving real-world problems and enjoy working in an environment where your work has meaningful organisational impact. You will bring: A solid understanding of the software development life cycle, including requirements analysis, design, testing, deployment, and ongoing support Strong understanding of API-led connectivity, data transformation, and integration patterns A good understanding of SQL or equivalent data query languages, with experience of Oracle, MS SQL Server, or MySQL Experience working with Finance, HR, or enterprise business systems, such as Agresso or similar platforms Experience with integration and back-end development, including MuleSoft or similar platforms, along with integration and unit testing Experience using Git and established Git workflows Experience working in an agile environment, contributing to sprint planning, retrospectives, and defining user stories or requirements A collaborative and professional approach, with the ability to work effectively alongside developers, analysts, and other technical specialists If you haven't worked with MuleSoft or don't have significant integration experience but have proven programming skills and a solid understanding of the software development process, we would still love to hear from you. We appreciate that some people can be put off applying if they don't match every requirement; if you're excited about the role and think you can achieve what we've described, we welcome your application. For informal enquiries about the post, please contact Bob Robertson Principal Developer (HR & Finance Systems) at . However, please ensure that you submit your application through the University of Bath website. Additional information This role includes a market supplement of £4,000 in addition to the base salary scale. The total salary range displayed above reflects the base salary plus market supplement. This role is offered on a full time (36.5 hours per week) permanent basis. We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students and encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment. We're continually expanding our benefits package to better support you and enhance your experience with us and the below is just an example of some of the many great benefits we offer: Free counselling services through Health Assured Cycle to work scheme Electric vehicle salary sacrifice scheme Staff discount at Team Bath gym Staff discounts on postgraduate tuition fees Staff discount on language courses Generous employer contributory pension schemes Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance A wide range of personal and professional development opportunities including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath An excellent reward package that recognises the talents of our diverse workforce Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name, may be removed from application forms at the initial shortlisting stage.
03/06/2026
Full time
Overview Job title Senior Developer (Integrations) Salary Starting from £42,784, rising to £50,049 Are you a creative developer who enjoys working on integrations? Do you enjoy designing and supporting integrations that connect enterprise systems and improve how organisations use data? We have an exciting opportunity for a Senior Developer (Integrations) to join the University of Bath's Digital, Data & Technology (DDaT) department. This role sits within the HR & Finance Systems team and focuses on the development, support, and continuous improvement of integrations across key University platforms, including the Agresso Finance system, HR systems, and other enterprise applications. Working as part of a collaborative agile team, you will support system-to-system integrations using various integration platforms, helping to ensure integrations are secure, reliable, and effectively maintained within a live operational environment. About You You are comfortable working across back-end systems and integrations, and you understand how strong technical foundations, good documentation, and collaboration contribute to long-term service stability. You are motivated by solving real-world problems and enjoy working in an environment where your work has meaningful organisational impact. You will bring: A solid understanding of the software development life cycle, including requirements analysis, design, testing, deployment, and ongoing support Strong understanding of API-led connectivity, data transformation, and integration patterns A good understanding of SQL or equivalent data query languages, with experience of Oracle, MS SQL Server, or MySQL Experience working with Finance, HR, or enterprise business systems, such as Agresso or similar platforms Experience with integration and back-end development, including MuleSoft or similar platforms, along with integration and unit testing Experience using Git and established Git workflows Experience working in an agile environment, contributing to sprint planning, retrospectives, and defining user stories or requirements A collaborative and professional approach, with the ability to work effectively alongside developers, analysts, and other technical specialists If you haven't worked with MuleSoft or don't have significant integration experience but have proven programming skills and a solid understanding of the software development process, we would still love to hear from you. We appreciate that some people can be put off applying if they don't match every requirement; if you're excited about the role and think you can achieve what we've described, we welcome your application. For informal enquiries about the post, please contact Bob Robertson Principal Developer (HR & Finance Systems) at . However, please ensure that you submit your application through the University of Bath website. Additional information This role includes a market supplement of £4,000 in addition to the base salary scale. The total salary range displayed above reflects the base salary plus market supplement. This role is offered on a full time (36.5 hours per week) permanent basis. We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students and encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment. We're continually expanding our benefits package to better support you and enhance your experience with us and the below is just an example of some of the many great benefits we offer: Free counselling services through Health Assured Cycle to work scheme Electric vehicle salary sacrifice scheme Staff discount at Team Bath gym Staff discounts on postgraduate tuition fees Staff discount on language courses Generous employer contributory pension schemes Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance A wide range of personal and professional development opportunities including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath An excellent reward package that recognises the talents of our diverse workforce Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name, may be removed from application forms at the initial shortlisting stage.
Graduate Data Analyst Fawkes and Reece is one of the UK's leading construction recruitment specialists, with 9 offices nationwide and a reputation built on excellence, delivery, and results. As we approach our 25th anniversary, data is playing an increasingly important role in shaping our business strategy and future growth. We are now looking for a Graduate Data Analyst to join our team and support data-led decision-making across the group. This is an exciting opportunity for a recent graduate looking to kick-start their career in data and analytics within a fast-paced, commercial environment. You will gain hands-on experience working with real business data, learning how insights directly impact performance, strategy, and growth The Role As a Apprentince Data Analyst, you will support the business by transforming data into meaningful insights that help drive performance across sales, recruitment, and operations. You'll be given full training and ongoing support, with the opportunity to learn on the job from experienced stakeholders across multiple departments. This role offers exposure to the full business, allowing you to develop both technical and commercial skills. Key responsibilities include: Supporting the collection, organisation, and analysis of data across multiple business functions Assisting in building and maintaining reports and dashboards using Excel Analysing trends and patterns to provide insights that support business decisions Working closely with different teams to understand their data needs and requirements Helping to improve data processes and reporting accuracy Maintaining clean, accurate, and up-to-date data across internal systems Presenting insights in a clear, concise, and easy-to-understand format Supporting senior stakeholders with data-driven recommendations What We're Looking For We are looking for someone with strong potential, a positive attitude, and a genuine interest in building a career in data. A recent graduate (or graduating soon), ideally in a numerical or analytical subject such as Maths, Economics, Business, Data Analytics, or similar Strong Excel skills, or a willingness and ability to develop them quickly A natural interest in data, numbers, and problem-solving High attention to detail and strong organisational skills Good communication skills and the ability to explain ideas clearly to non-technical stakeholders A proactive mindset with a willingness to learn and take ownership Ability to work in a fast-paced, deadline-driven environment What's in It for You? Competitive starting salary Structured training and continuous development Clear progression opportunities within a growing organisation Hands-on experience with real business data from day one Exposure to senior stakeholders and strategic decision-making Opportunity to build both technical and commercial skill sets A role where your work will have real impact and visibility Why Fawkes & Reece Regular team and company social events, including high achievers' trips Summer and Christmas parties Free fruit and breakfast (including Friday breakfast) Early finish every Friday Increasing annual leave with service Monthly prizes and recognition awards 4x salary life insurance 24/7 online doctor support Free wellness app with access to wellbeing initiatives If you're looking for a role where you'll be supported, challenged, and given real responsibility from day one, we'd love to hear from you. Apply now or get in touch with our Stephen in the talent Team to find out more.
01/06/2026
Full time
Graduate Data Analyst Fawkes and Reece is one of the UK's leading construction recruitment specialists, with 9 offices nationwide and a reputation built on excellence, delivery, and results. As we approach our 25th anniversary, data is playing an increasingly important role in shaping our business strategy and future growth. We are now looking for a Graduate Data Analyst to join our team and support data-led decision-making across the group. This is an exciting opportunity for a recent graduate looking to kick-start their career in data and analytics within a fast-paced, commercial environment. You will gain hands-on experience working with real business data, learning how insights directly impact performance, strategy, and growth The Role As a Apprentince Data Analyst, you will support the business by transforming data into meaningful insights that help drive performance across sales, recruitment, and operations. You'll be given full training and ongoing support, with the opportunity to learn on the job from experienced stakeholders across multiple departments. This role offers exposure to the full business, allowing you to develop both technical and commercial skills. Key responsibilities include: Supporting the collection, organisation, and analysis of data across multiple business functions Assisting in building and maintaining reports and dashboards using Excel Analysing trends and patterns to provide insights that support business decisions Working closely with different teams to understand their data needs and requirements Helping to improve data processes and reporting accuracy Maintaining clean, accurate, and up-to-date data across internal systems Presenting insights in a clear, concise, and easy-to-understand format Supporting senior stakeholders with data-driven recommendations What We're Looking For We are looking for someone with strong potential, a positive attitude, and a genuine interest in building a career in data. A recent graduate (or graduating soon), ideally in a numerical or analytical subject such as Maths, Economics, Business, Data Analytics, or similar Strong Excel skills, or a willingness and ability to develop them quickly A natural interest in data, numbers, and problem-solving High attention to detail and strong organisational skills Good communication skills and the ability to explain ideas clearly to non-technical stakeholders A proactive mindset with a willingness to learn and take ownership Ability to work in a fast-paced, deadline-driven environment What's in It for You? Competitive starting salary Structured training and continuous development Clear progression opportunities within a growing organisation Hands-on experience with real business data from day one Exposure to senior stakeholders and strategic decision-making Opportunity to build both technical and commercial skill sets A role where your work will have real impact and visibility Why Fawkes & Reece Regular team and company social events, including high achievers' trips Summer and Christmas parties Free fruit and breakfast (including Friday breakfast) Early finish every Friday Increasing annual leave with service Monthly prizes and recognition awards 4x salary life insurance 24/7 online doctor support Free wellness app with access to wellbeing initiatives If you're looking for a role where you'll be supported, challenged, and given real responsibility from day one, we'd love to hear from you. Apply now or get in touch with our Stephen in the talent Team to find out more.
Data Analyst Apprenticeship - Heathrow Shared Apprenticeship Scheme The Heathrow Shared Apprenticeship Scheme is one of the UK's most exciting apprenticeship programmes. The scheme provides career changing opportunities for residents close to the airport. Job Description An apprentice data analyst is responsible for collecting, inputting and outputting data, cleaning and preparing it for analysis, and creating basic reports and visualisations. They support more experienced analysts in modelling data and may also be involved in basic programming tasks. As they gain experience, apprentices are expected to learn new tools and techniques and take on more complex responsibilities in the field of data analysis. Duties may include: Identify data sources to meet the organisation's requirements using evidence-based decision making to create various data. Collaborating/working with clients and colleagues to determine reporting needs and deliver accurate information. Collect, compile and, if needed, cleanse data. Solving any problems that arise from a range of internal and external systems. Generate performance dashboards and reports during the Visualisation and Model Building phase. Maintain and develop reports for analysis, ensuring compliance with organisational policies and legislation. Create standard and non-standard statistical and data analysis reports. Analyse and interpret data trends and patterns, drawing conclusions and providing guidance for understanding. Summarise and present data analysis results to stakeholders, offering recommendations. Ensure data storage and archiving align with relevant legislation, such as GDPR. Using databases including PowerBI, Python and Excel. Using programme languages such as SQL, HTML, JSONS etc. Typical Working Week 40 hours p/w with start time typically between 07:00 & 08:00 inclusive of paid 8 hours at college. Person Specification Proactive approach, taking pride in their work and taking accountability for decisions. A love of variety in a role and ability to adapt to a dynamic, fast-paced working environment. Ability to quickly prioritise tasks and the initiative to dive head-first into problem solving. No two days are the same on the front line and not every day goes to plan, so you'll need to be quick on your feet to respond! Excellent communication and collaboration skills and enjoy working with multiple teams. Ability to analyse and interpret information and effectively communicate this to different team members and audiences. Ability to visit different sites and training days. Curiosity to learn quickly in a reactive and dynamic working environment. Ability to work in all weather conditions to serve our customers and protect the environment. Able to understand and follow health and safety protocols. Qualifications required/desirable English and Maths at GCSE Grade 4 / C or above, or Functional Skills at Level 2 or above. Desired Requirements A high interest in developing your knowledge and understanding of key concepts and techniques that help organisations effectively use data to make decisions. Key Training/College Information K10 will enrol you to the Level 4 Data Analyst course and fund your qualifications through an accredited training provider. The apprenticeship duration is 24 months with up to 3 months for your End Point Assessment (EPA). To be eligible for the Heathrow Shared Apprenticeship Scheme, you must reside in one of the following regions: Hillingdon Hounslow Ealing Spelthorne Windsor & Maidenhead South Buckinghamshire Elmbridge Slough Runnymede To start this apprenticeship, you'll need to be: Living in England for the last 3 years and have right to work status. Not enrolled on any other courses. 18+ due to site H&S rules. We are committed to protecting your personal data. Any information you provide as part of the recruitment process will be processed in accordance with the UK General Data Protection Regulation (UK GDPR) and the Data Protection Act 2018. Your data will be used solely for the purposes of assessing your suitability for the role and for related recruitment activities. If you are unsuccessful, we will retain your personal data for 24 months following the conclusion of the recruitment process, after which it will be securely deleted, unless we are required to retain it for legal or regulatory reasons. You have the right to withdraw your consent and request deletion of your data at any time during this period. To do so, please contact .
20/05/2026
Full time
Data Analyst Apprenticeship - Heathrow Shared Apprenticeship Scheme The Heathrow Shared Apprenticeship Scheme is one of the UK's most exciting apprenticeship programmes. The scheme provides career changing opportunities for residents close to the airport. Job Description An apprentice data analyst is responsible for collecting, inputting and outputting data, cleaning and preparing it for analysis, and creating basic reports and visualisations. They support more experienced analysts in modelling data and may also be involved in basic programming tasks. As they gain experience, apprentices are expected to learn new tools and techniques and take on more complex responsibilities in the field of data analysis. Duties may include: Identify data sources to meet the organisation's requirements using evidence-based decision making to create various data. Collaborating/working with clients and colleagues to determine reporting needs and deliver accurate information. Collect, compile and, if needed, cleanse data. Solving any problems that arise from a range of internal and external systems. Generate performance dashboards and reports during the Visualisation and Model Building phase. Maintain and develop reports for analysis, ensuring compliance with organisational policies and legislation. Create standard and non-standard statistical and data analysis reports. Analyse and interpret data trends and patterns, drawing conclusions and providing guidance for understanding. Summarise and present data analysis results to stakeholders, offering recommendations. Ensure data storage and archiving align with relevant legislation, such as GDPR. Using databases including PowerBI, Python and Excel. Using programme languages such as SQL, HTML, JSONS etc. Typical Working Week 40 hours p/w with start time typically between 07:00 & 08:00 inclusive of paid 8 hours at college. Person Specification Proactive approach, taking pride in their work and taking accountability for decisions. A love of variety in a role and ability to adapt to a dynamic, fast-paced working environment. Ability to quickly prioritise tasks and the initiative to dive head-first into problem solving. No two days are the same on the front line and not every day goes to plan, so you'll need to be quick on your feet to respond! Excellent communication and collaboration skills and enjoy working with multiple teams. Ability to analyse and interpret information and effectively communicate this to different team members and audiences. Ability to visit different sites and training days. Curiosity to learn quickly in a reactive and dynamic working environment. Ability to work in all weather conditions to serve our customers and protect the environment. Able to understand and follow health and safety protocols. Qualifications required/desirable English and Maths at GCSE Grade 4 / C or above, or Functional Skills at Level 2 or above. Desired Requirements A high interest in developing your knowledge and understanding of key concepts and techniques that help organisations effectively use data to make decisions. Key Training/College Information K10 will enrol you to the Level 4 Data Analyst course and fund your qualifications through an accredited training provider. The apprenticeship duration is 24 months with up to 3 months for your End Point Assessment (EPA). To be eligible for the Heathrow Shared Apprenticeship Scheme, you must reside in one of the following regions: Hillingdon Hounslow Ealing Spelthorne Windsor & Maidenhead South Buckinghamshire Elmbridge Slough Runnymede To start this apprenticeship, you'll need to be: Living in England for the last 3 years and have right to work status. Not enrolled on any other courses. 18+ due to site H&S rules. We are committed to protecting your personal data. Any information you provide as part of the recruitment process will be processed in accordance with the UK General Data Protection Regulation (UK GDPR) and the Data Protection Act 2018. Your data will be used solely for the purposes of assessing your suitability for the role and for related recruitment activities. If you are unsuccessful, we will retain your personal data for 24 months following the conclusion of the recruitment process, after which it will be securely deleted, unless we are required to retain it for legal or regulatory reasons. You have the right to withdraw your consent and request deletion of your data at any time during this period. To do so, please contact .
We're looking for a Data Scientist who loves building predictive models and solving ambiguous data problems. You'll own the models that shape loan eligibility and pricing across 5 African markets. This is a small team with big responsibility, where your work directly shapes lending strategy for millions of customers. Impact Your models will directly shape how millions of underserved customers access credit for the first time. We've already helped over 7 million customers access over $2 billion in credit - and we process over 1.5 million payments daily. It's your chance to be part of something that's literally transforming lives across an entire continent Opportunity Mission-driven data science: Build credit scoring and pricing models that expand financial access for customers traditionally excluded from formal lending Global recognition: Join a company named by TIME 100 as one of the world's most influential and by the Financial Times as Africa's fastest-growing for 4 consecutive years () Scale challenges: Work with rich repayment datasets across 5 African markets, developing ML models that balance growth with credit risk at scale Environmental impact: We're carbon-negative, having displaced over 2.1 million tonnes of emissions What You'll Do At M KOPA, you'll build and refine the predictive models that power our lending strategy. You'll sit within a small, high performing team with end to end ownership of credit scoring, loan eligibility, and pricing optimisation - working cross functionally with engineers, analysts, growth managers, and commercial stakeholders across multiple countries. Join us in combining cutting edge data science with purpose driven work that makes digital and financial inclusion possible across Africa. Day to day, you'll be: Building and refining credit scoring models that assess customer creditworthiness, default risk, and loan pricing across multiple markets Developing and testing ML models for loan eligibility and pricing optimisation through A/B testing and statistical analysis Continuously improving eligibility criteria by analysing repayment data, engineering new features, and monitoring credit performance for risk shifts and margin impact Collaborating cross functionally with engineers, data scientists, and commercial stakeholders to scale models into production Technical Environment Languages & Libraries: Python, SQL, scikit learn, pandas, numpy, and relevant ML libraries Techniques: Predictive modelling, classification/regression, feature engineering, model selection, hyperparameter tuning, A/B testing Domain: Credit scoring, underwriting, loan pricing, risk analytics Our Team Approach Low ego environment where diversity, innovation, and collaboration drive both commercial growth and social impact High degree of ownership over your domain - you're empowered to make data driven decisions and prioritise solutions Cross functional collaboration with engineering, product, and commercial teams across multiple countries Analytical rigour combined with deep market understanding to serve customers excluded from formal financial services What You Need Credit accessibility and affordability are at the core of this role. You'll join a small, high performing team where every day brings new modelling challenges and analyses that shape our lending strategy. If building models that can transform financial access for millions of African customers excites you, we'd love to hear from you. Required Experience Experience building predictive models, particularly credit scoring, risk models, or similar classification/regression problems ML background with hands on experience in model development, validation, deployment, and performance monitoring Proficiency in Python, SQL, and relevant ML libraries (scikit learn, pandas, numpy, etc.) with experience in feature engineering, model selection, and hyperparameter tuning Experience translating complex model outputs into actionable business strategies and stakeholder communications Ability to work cross functionally with product, engineering, and commercial teams Strong data communication skills - written, oral, and visual Highly Desirable Experience in credit, underwriting, lending analytics, or fintech modelling Location & Benefits Fully remote role within UTC -1 to UTC +3 time zones Work with diverse teams across UK, Europe, and Africa Professional development programmes and coaching partnerships Family friendly policies and flexible working arrangements Well being support and career growth opportunities Our Mission We make financing for everyday essentials accessible to everyone. We strive to drive greater inclusion of women, youth, and low income communities. Our Impact Our technology has created measurable change: Connected : 2.5 million first time smartphone users connected Prosperous : 70% of customers use M KOPA products for income generation, with 35,000 livelihoods created for agents Green : 2.1 million tonnes of CO avoided through clean energy products, with over 127,700 circular economy products provided Ready to build models that create real world financial inclusion while advancing your career in data science? Apply now. Why M KOPA? At M KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on the job training. We support individual journeys with family friendly policies, prioritise well being, and embrace flexibility. Join us in shaping the future of M KOPA as we grow together. Explore more at Recognized four times by the Financial Times as one Africa's fastest growing companies (2022, 2023, 2024 and 2025) and by TIME100 Most influential companies in the world 2023 and 2024, we've served over 6 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa. Important Notice M KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M KOPA explicitly prohibits the use of forced or child labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M KOPA shall ensure that its employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships. M KOPA does not collect or charge any money as a pre employment or post employment requirement. This means we never ask for 'recruitment fees', 'processing fees', 'interview fees', or any other kind of money in exchange for offer letters or interviews at any time during the hiring process. Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date. If your application is successful M KOPA undertakes pre employment background checks as part of its recruitment process, these include criminal records, identification verification, academic qualifications, employment dates and employer references.
17/05/2026
Full time
We're looking for a Data Scientist who loves building predictive models and solving ambiguous data problems. You'll own the models that shape loan eligibility and pricing across 5 African markets. This is a small team with big responsibility, where your work directly shapes lending strategy for millions of customers. Impact Your models will directly shape how millions of underserved customers access credit for the first time. We've already helped over 7 million customers access over $2 billion in credit - and we process over 1.5 million payments daily. It's your chance to be part of something that's literally transforming lives across an entire continent Opportunity Mission-driven data science: Build credit scoring and pricing models that expand financial access for customers traditionally excluded from formal lending Global recognition: Join a company named by TIME 100 as one of the world's most influential and by the Financial Times as Africa's fastest-growing for 4 consecutive years () Scale challenges: Work with rich repayment datasets across 5 African markets, developing ML models that balance growth with credit risk at scale Environmental impact: We're carbon-negative, having displaced over 2.1 million tonnes of emissions What You'll Do At M KOPA, you'll build and refine the predictive models that power our lending strategy. You'll sit within a small, high performing team with end to end ownership of credit scoring, loan eligibility, and pricing optimisation - working cross functionally with engineers, analysts, growth managers, and commercial stakeholders across multiple countries. Join us in combining cutting edge data science with purpose driven work that makes digital and financial inclusion possible across Africa. Day to day, you'll be: Building and refining credit scoring models that assess customer creditworthiness, default risk, and loan pricing across multiple markets Developing and testing ML models for loan eligibility and pricing optimisation through A/B testing and statistical analysis Continuously improving eligibility criteria by analysing repayment data, engineering new features, and monitoring credit performance for risk shifts and margin impact Collaborating cross functionally with engineers, data scientists, and commercial stakeholders to scale models into production Technical Environment Languages & Libraries: Python, SQL, scikit learn, pandas, numpy, and relevant ML libraries Techniques: Predictive modelling, classification/regression, feature engineering, model selection, hyperparameter tuning, A/B testing Domain: Credit scoring, underwriting, loan pricing, risk analytics Our Team Approach Low ego environment where diversity, innovation, and collaboration drive both commercial growth and social impact High degree of ownership over your domain - you're empowered to make data driven decisions and prioritise solutions Cross functional collaboration with engineering, product, and commercial teams across multiple countries Analytical rigour combined with deep market understanding to serve customers excluded from formal financial services What You Need Credit accessibility and affordability are at the core of this role. You'll join a small, high performing team where every day brings new modelling challenges and analyses that shape our lending strategy. If building models that can transform financial access for millions of African customers excites you, we'd love to hear from you. Required Experience Experience building predictive models, particularly credit scoring, risk models, or similar classification/regression problems ML background with hands on experience in model development, validation, deployment, and performance monitoring Proficiency in Python, SQL, and relevant ML libraries (scikit learn, pandas, numpy, etc.) with experience in feature engineering, model selection, and hyperparameter tuning Experience translating complex model outputs into actionable business strategies and stakeholder communications Ability to work cross functionally with product, engineering, and commercial teams Strong data communication skills - written, oral, and visual Highly Desirable Experience in credit, underwriting, lending analytics, or fintech modelling Location & Benefits Fully remote role within UTC -1 to UTC +3 time zones Work with diverse teams across UK, Europe, and Africa Professional development programmes and coaching partnerships Family friendly policies and flexible working arrangements Well being support and career growth opportunities Our Mission We make financing for everyday essentials accessible to everyone. We strive to drive greater inclusion of women, youth, and low income communities. Our Impact Our technology has created measurable change: Connected : 2.5 million first time smartphone users connected Prosperous : 70% of customers use M KOPA products for income generation, with 35,000 livelihoods created for agents Green : 2.1 million tonnes of CO avoided through clean energy products, with over 127,700 circular economy products provided Ready to build models that create real world financial inclusion while advancing your career in data science? Apply now. Why M KOPA? At M KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on the job training. We support individual journeys with family friendly policies, prioritise well being, and embrace flexibility. Join us in shaping the future of M KOPA as we grow together. Explore more at Recognized four times by the Financial Times as one Africa's fastest growing companies (2022, 2023, 2024 and 2025) and by TIME100 Most influential companies in the world 2023 and 2024, we've served over 6 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa. Important Notice M KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M KOPA explicitly prohibits the use of forced or child labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M KOPA shall ensure that its employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships. M KOPA does not collect or charge any money as a pre employment or post employment requirement. This means we never ask for 'recruitment fees', 'processing fees', 'interview fees', or any other kind of money in exchange for offer letters or interviews at any time during the hiring process. Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date. If your application is successful M KOPA undertakes pre employment background checks as part of its recruitment process, these include criminal records, identification verification, academic qualifications, employment dates and employer references.
John Crane, a business of Smiths Group, is a global leader in mission-critical flow control solutions for energy and process industries that enable efficient and sustainable operations. Our products include mechanical seals and systems, couplings, filtration systems, and predictive digital monitoring technologies. We have a global network of more than 200 sites in over 50 countries and employ more than 6,000 people worldwide. We partner with our customers to help them keep their operations safe, reduce downtime, improve efficiency, and meet the latest environmental standards. John Crane is part of Smiths Group. For over 170 years, Smiths has been pioneering progress by engineering for a better future. We serve millions of people every year, helping to create a safer, more efficient, productive, and better-connected world across four global markets: energy, security & defence, space & aerospace, and general industrial. Listed on the London Stock Exchange, Smiths employs approximately 16,000 colleagues in over 50 countries. Job Description If you are Interested, please apply via the Link above through their website As an apprentice you will be involved in supporting our business transformation team by working with data-driven decision-making by assisting in the collection, analysis, and interpretation of critical data. This Level 4 Apprenticeship is designed to provide hands on experience in data analytics and you will contribute to key projects and initiatives across our business. You will be rotated through our various information domains: quality and engineering, manufacturing performance, market performance and sales and delivery performance. This will give you the knowledge to understand how critical data is in our decision making to drive our business forwards. Responsibilities Use tools such as SharePoint, Power BI and Databricks (SQL, Python) to perform basic data analysis. Create visualisations and dashboards to communicate insights effectively. Support the development of regular and ad hoc reports for business. Work collaboratively with internal stakeholders to understand data requirements and business challenges. Participate in meetings and workshops to gather feedback and refine analytical outputs. Communicate findings in a clear and accessible manner to non technical audiences. Manage key projects from conception through to completion. Ensuring key milestones are hit and project delivers objectives on time and within cost. Qualifications Have a keen interest in data analysis and a desire to learn. Committed to learning and working at the same time. Advanced MS Office skills. Decision making ability and good influencing / team working skills. Strong communication skills and the ability to work well in a team. Time management and organisational skills. Driving licence and own vehicle (due to location of the office). Entry requirements Standard entry OR equivalent work experience (typically two years in a relevant role) Plus 5 GCSEs, including English and Maths at Grade 4 (C) or above Experience with using Excel and Microsoft products (or similar) Additional Information With colleagues stretching across the globe, we are proud of our diversity. To foster inclusivity, we run employee resource groups (ERGs) to provide a safe space for employees to connect and support each other. Our cross business ERGs include Veterans, Pride Network, Black Employee Network, Network, and Neurodiversity. Across our company, we recognise excellence, culminating in the Smiths Excellence Awards, our annual celebration of the most extraordinary activities, people, and projects that best showcase our strengths and help drive our business forward. We announce these on our annual Smiths Day, a global celebration of Smiths around our network. Join us for a great career with competitive compensation and benefits, while helping engineer a better future. We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of colour, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation - including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career's website (Careers - Smiths Group plc )
17/05/2026
Full time
John Crane, a business of Smiths Group, is a global leader in mission-critical flow control solutions for energy and process industries that enable efficient and sustainable operations. Our products include mechanical seals and systems, couplings, filtration systems, and predictive digital monitoring technologies. We have a global network of more than 200 sites in over 50 countries and employ more than 6,000 people worldwide. We partner with our customers to help them keep their operations safe, reduce downtime, improve efficiency, and meet the latest environmental standards. John Crane is part of Smiths Group. For over 170 years, Smiths has been pioneering progress by engineering for a better future. We serve millions of people every year, helping to create a safer, more efficient, productive, and better-connected world across four global markets: energy, security & defence, space & aerospace, and general industrial. Listed on the London Stock Exchange, Smiths employs approximately 16,000 colleagues in over 50 countries. Job Description If you are Interested, please apply via the Link above through their website As an apprentice you will be involved in supporting our business transformation team by working with data-driven decision-making by assisting in the collection, analysis, and interpretation of critical data. This Level 4 Apprenticeship is designed to provide hands on experience in data analytics and you will contribute to key projects and initiatives across our business. You will be rotated through our various information domains: quality and engineering, manufacturing performance, market performance and sales and delivery performance. This will give you the knowledge to understand how critical data is in our decision making to drive our business forwards. Responsibilities Use tools such as SharePoint, Power BI and Databricks (SQL, Python) to perform basic data analysis. Create visualisations and dashboards to communicate insights effectively. Support the development of regular and ad hoc reports for business. Work collaboratively with internal stakeholders to understand data requirements and business challenges. Participate in meetings and workshops to gather feedback and refine analytical outputs. Communicate findings in a clear and accessible manner to non technical audiences. Manage key projects from conception through to completion. Ensuring key milestones are hit and project delivers objectives on time and within cost. Qualifications Have a keen interest in data analysis and a desire to learn. Committed to learning and working at the same time. Advanced MS Office skills. Decision making ability and good influencing / team working skills. Strong communication skills and the ability to work well in a team. Time management and organisational skills. Driving licence and own vehicle (due to location of the office). Entry requirements Standard entry OR equivalent work experience (typically two years in a relevant role) Plus 5 GCSEs, including English and Maths at Grade 4 (C) or above Experience with using Excel and Microsoft products (or similar) Additional Information With colleagues stretching across the globe, we are proud of our diversity. To foster inclusivity, we run employee resource groups (ERGs) to provide a safe space for employees to connect and support each other. Our cross business ERGs include Veterans, Pride Network, Black Employee Network, Network, and Neurodiversity. Across our company, we recognise excellence, culminating in the Smiths Excellence Awards, our annual celebration of the most extraordinary activities, people, and projects that best showcase our strengths and help drive our business forward. We announce these on our annual Smiths Day, a global celebration of Smiths around our network. Join us for a great career with competitive compensation and benefits, while helping engineer a better future. We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of colour, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation - including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career's website (Careers - Smiths Group plc )
We're looking for a Data Scientist who loves building predictive models and solving ambiguous data problems. You'll own the models that shape loan eligibility and pricing across 5 African markets. This is a small team with big responsibility, where your work directly shapes lending strategy for millions of customers. Impact Your models will directly shape how millions of underserved customers access credit for the first time. We've already helped over 7 million customers access over $2 billion in credit - and we process over 1.5 million payments daily. It's your chance to be part of something that's literally transforming lives across an entire continent Opportunity Mission-driven data science: Build credit scoring and pricing models that expand financial access for customers traditionally excluded from formal lending Global recognition: Join a company named by TIME 100 as one of the world's most influential and by the Financial Times as Africa's fastest-growing for 4 consecutive years () Scale challenges: Work with rich repayment datasets across 5 African markets, developing ML models that balance growth with credit risk at scale Environmental impact: We're carbon-negative, having displaced over 2.1 million tonnes of emissions What You'll Do At M KOPA, you'll build and refine the predictive models that power our lending strategy. You'll sit within a small, high performing team with end to end ownership of credit scoring, loan eligibility, and pricing optimisation - working cross functionally with engineers, analysts, growth managers, and commercial stakeholders across multiple countries. Join us in combining cutting edge data science with purpose driven work that makes digital and financial inclusion possible across Africa. Day to day, you'll be: Building and refining credit scoring models that assess customer creditworthiness, default risk, and loan pricing across multiple markets Developing and testing ML models for loan eligibility and pricing optimisation through A/B testing and statistical analysis Continuously improving eligibility criteria by analysing repayment data, engineering new features, and monitoring credit performance for risk shifts and margin impact Collaborating cross functionally with engineers, data scientists, and commercial stakeholders to scale models into production Technical Environment Languages & Libraries: Python, SQL, scikit learn, pandas, numpy, and relevant ML libraries Techniques: Predictive modelling, classification/regression, feature engineering, model selection, hyperparameter tuning, A/B testing Domain: Credit scoring, underwriting, loan pricing, risk analytics Our Team Approach Low ego environment where diversity, innovation, and collaboration drive both commercial growth and social impact High degree of ownership over your domain - you're empowered to make data driven decisions and prioritise solutions Cross functional collaboration with engineering, product, and commercial teams across multiple countries Analytical rigour combined with deep market understanding to serve customers excluded from formal financial services What You Need Credit accessibility and affordability are at the core of this role. You'll join a small, high performing team where every day brings new modelling challenges and analyses that shape our lending strategy. If building models that can transform financial access for millions of African customers excites you, we'd love to hear from you. Required Experience Experience building predictive models, particularly credit scoring, risk models, or similar classification/regression problems ML background with hands on experience in model development, validation, deployment, and performance monitoring Proficiency in Python, SQL, and relevant ML libraries (scikit learn, pandas, numpy, etc.) with experience in feature engineering, model selection, and hyperparameter tuning Experience translating complex model outputs into actionable business strategies and stakeholder communications Ability to work cross functionally with product, engineering, and commercial teams Strong data communication skills - written, oral, and visual Highly Desirable Experience in credit, underwriting, lending analytics, or fintech modelling Location & Benefits Fully remote role within UTC -1 to UTC +3 time zones Work with diverse teams across UK, Europe, and Africa Professional development programmes and coaching partnerships Family friendly policies and flexible working arrangements Well being support and career growth opportunities Our Mission We make financing for everyday essentials accessible to everyone. We strive to drive greater inclusion of women, youth, and low income communities. Our Impact Our technology has created measurable change: Connected : 2.5 million first time smartphone users connected Prosperous : 70% of customers use M KOPA products for income generation, with 35,000 livelihoods created for agents Green : 2.1 million tonnes of CO avoided through clean energy products, with over 127,700 circular economy products provided Ready to build models that create real world financial inclusion while advancing your career in data science? Apply now. Why M KOPA? At M KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on the job training. We support individual journeys with family friendly policies, prioritise well being, and embrace flexibility. Join us in shaping the future of M KOPA as we grow together. Explore more at Recognized four times by the Financial Times as one Africa's fastest growing companies (2022, 2023, 2024 and 2025) and by TIME100 Most influential companies in the world 2023 and 2024, we've served over 6 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa. Important Notice M KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M KOPA explicitly prohibits the use of forced or child labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M KOPA shall ensure that its employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships. M KOPA does not collect or charge any money as a pre employment or post employment requirement. This means we never ask for 'recruitment fees', 'processing fees', 'interview fees', or any other kind of money in exchange for offer letters or interviews at any time during the hiring process. Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date. If your application is successful M KOPA undertakes pre employment background checks as part of its recruitment process, these include criminal records, identification verification, academic qualifications, employment dates and employer references.
16/05/2026
Full time
We're looking for a Data Scientist who loves building predictive models and solving ambiguous data problems. You'll own the models that shape loan eligibility and pricing across 5 African markets. This is a small team with big responsibility, where your work directly shapes lending strategy for millions of customers. Impact Your models will directly shape how millions of underserved customers access credit for the first time. We've already helped over 7 million customers access over $2 billion in credit - and we process over 1.5 million payments daily. It's your chance to be part of something that's literally transforming lives across an entire continent Opportunity Mission-driven data science: Build credit scoring and pricing models that expand financial access for customers traditionally excluded from formal lending Global recognition: Join a company named by TIME 100 as one of the world's most influential and by the Financial Times as Africa's fastest-growing for 4 consecutive years () Scale challenges: Work with rich repayment datasets across 5 African markets, developing ML models that balance growth with credit risk at scale Environmental impact: We're carbon-negative, having displaced over 2.1 million tonnes of emissions What You'll Do At M KOPA, you'll build and refine the predictive models that power our lending strategy. You'll sit within a small, high performing team with end to end ownership of credit scoring, loan eligibility, and pricing optimisation - working cross functionally with engineers, analysts, growth managers, and commercial stakeholders across multiple countries. Join us in combining cutting edge data science with purpose driven work that makes digital and financial inclusion possible across Africa. Day to day, you'll be: Building and refining credit scoring models that assess customer creditworthiness, default risk, and loan pricing across multiple markets Developing and testing ML models for loan eligibility and pricing optimisation through A/B testing and statistical analysis Continuously improving eligibility criteria by analysing repayment data, engineering new features, and monitoring credit performance for risk shifts and margin impact Collaborating cross functionally with engineers, data scientists, and commercial stakeholders to scale models into production Technical Environment Languages & Libraries: Python, SQL, scikit learn, pandas, numpy, and relevant ML libraries Techniques: Predictive modelling, classification/regression, feature engineering, model selection, hyperparameter tuning, A/B testing Domain: Credit scoring, underwriting, loan pricing, risk analytics Our Team Approach Low ego environment where diversity, innovation, and collaboration drive both commercial growth and social impact High degree of ownership over your domain - you're empowered to make data driven decisions and prioritise solutions Cross functional collaboration with engineering, product, and commercial teams across multiple countries Analytical rigour combined with deep market understanding to serve customers excluded from formal financial services What You Need Credit accessibility and affordability are at the core of this role. You'll join a small, high performing team where every day brings new modelling challenges and analyses that shape our lending strategy. If building models that can transform financial access for millions of African customers excites you, we'd love to hear from you. Required Experience Experience building predictive models, particularly credit scoring, risk models, or similar classification/regression problems ML background with hands on experience in model development, validation, deployment, and performance monitoring Proficiency in Python, SQL, and relevant ML libraries (scikit learn, pandas, numpy, etc.) with experience in feature engineering, model selection, and hyperparameter tuning Experience translating complex model outputs into actionable business strategies and stakeholder communications Ability to work cross functionally with product, engineering, and commercial teams Strong data communication skills - written, oral, and visual Highly Desirable Experience in credit, underwriting, lending analytics, or fintech modelling Location & Benefits Fully remote role within UTC -1 to UTC +3 time zones Work with diverse teams across UK, Europe, and Africa Professional development programmes and coaching partnerships Family friendly policies and flexible working arrangements Well being support and career growth opportunities Our Mission We make financing for everyday essentials accessible to everyone. We strive to drive greater inclusion of women, youth, and low income communities. Our Impact Our technology has created measurable change: Connected : 2.5 million first time smartphone users connected Prosperous : 70% of customers use M KOPA products for income generation, with 35,000 livelihoods created for agents Green : 2.1 million tonnes of CO avoided through clean energy products, with over 127,700 circular economy products provided Ready to build models that create real world financial inclusion while advancing your career in data science? Apply now. Why M KOPA? At M KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on the job training. We support individual journeys with family friendly policies, prioritise well being, and embrace flexibility. Join us in shaping the future of M KOPA as we grow together. Explore more at Recognized four times by the Financial Times as one Africa's fastest growing companies (2022, 2023, 2024 and 2025) and by TIME100 Most influential companies in the world 2023 and 2024, we've served over 6 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa. Important Notice M KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M KOPA explicitly prohibits the use of forced or child labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M KOPA shall ensure that its employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships. M KOPA does not collect or charge any money as a pre employment or post employment requirement. This means we never ask for 'recruitment fees', 'processing fees', 'interview fees', or any other kind of money in exchange for offer letters or interviews at any time during the hiring process. Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date. If your application is successful M KOPA undertakes pre employment background checks as part of its recruitment process, these include criminal records, identification verification, academic qualifications, employment dates and employer references.
Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
03/07/2023
Full time
Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
About us:
Gower College Swansea is one of the largest colleges in Wales with a strong reputation for high quality teaching and learning. We have six campuses across the city with over 4,500 full time learners and 10,000 part time learners. We currently have a turnover of over £50 million making us a major employer in the region with approximately 1,000 staff.
At Gower College Swansea we are passionate about investing in our staff and looking after their wellbeing to ensure they feel supported in work and also at home.
The role:
You will be responsible for the delivery of high-quality Data Analytics apprenticeship training and assessment on our work-based learning contract.
37 hours per week
Permanent
£31,498 - £36,642 per annum
Jubilee Court, Swansea, SA5
Key Responsibilities:
Plan and deliver training and assessments across a range of courses ensuring schemes/records of work, assignment schedules, are appropriate to the syllabus content and awarding body standards
Work with customers in industry to maintain and build relationships and to secure contracts with existing and new organisations
Meet regularly with learners as determined by the programme delivery to establish and maintain monitoring and review arrangements for students undertaking training.
About you:
Level 4 qualification or equivalent in Data Analytics
Commercial knowledge, experience and understanding of industry, including training needs
Creative, innovative and enthusiastic
Benefits for you:
28 days annual leave, plus bank holidays, and the college is closed for two weeks over the Christmas period
Free Parking
A Local Government Pension Scheme with an average employer contribution of 21% (2023)
Free annual subscription to the Headspace Mindfulness app
Discounted study opportunities on College programmes
Hybrid Working
View more benefits here: https://www.gcs.ac.uk/recruitment/benefits-and-wellbeing
We welcome applications from individuals regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We particularly welcome applications from groups currently underrepresented within our organisation.
If you wish to continue your application journey using Welsh Language, please visit our Cymraeg site. We encourage Welsh Language applications as we recognise the importance of delivering services in Welsh, and the need to grow our bilingual workforce.
Gower College Swansea is committed to safeguarding and promoting the welfare of young people and expects all staff to share this commitment. Appointments are subject to an enhanced DBS check and require registration with the Education Workforce Council for Wales.
Appointments will normally be made to the bottom of the salary scale with annual increments on 1st August each year (subject to a start date before 1st February).
15/05/2023
Full time
About us:
Gower College Swansea is one of the largest colleges in Wales with a strong reputation for high quality teaching and learning. We have six campuses across the city with over 4,500 full time learners and 10,000 part time learners. We currently have a turnover of over £50 million making us a major employer in the region with approximately 1,000 staff.
At Gower College Swansea we are passionate about investing in our staff and looking after their wellbeing to ensure they feel supported in work and also at home.
The role:
You will be responsible for the delivery of high-quality Data Analytics apprenticeship training and assessment on our work-based learning contract.
37 hours per week
Permanent
£31,498 - £36,642 per annum
Jubilee Court, Swansea, SA5
Key Responsibilities:
Plan and deliver training and assessments across a range of courses ensuring schemes/records of work, assignment schedules, are appropriate to the syllabus content and awarding body standards
Work with customers in industry to maintain and build relationships and to secure contracts with existing and new organisations
Meet regularly with learners as determined by the programme delivery to establish and maintain monitoring and review arrangements for students undertaking training.
About you:
Level 4 qualification or equivalent in Data Analytics
Commercial knowledge, experience and understanding of industry, including training needs
Creative, innovative and enthusiastic
Benefits for you:
28 days annual leave, plus bank holidays, and the college is closed for two weeks over the Christmas period
Free Parking
A Local Government Pension Scheme with an average employer contribution of 21% (2023)
Free annual subscription to the Headspace Mindfulness app
Discounted study opportunities on College programmes
Hybrid Working
View more benefits here: https://www.gcs.ac.uk/recruitment/benefits-and-wellbeing
We welcome applications from individuals regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We particularly welcome applications from groups currently underrepresented within our organisation.
If you wish to continue your application journey using Welsh Language, please visit our Cymraeg site. We encourage Welsh Language applications as we recognise the importance of delivering services in Welsh, and the need to grow our bilingual workforce.
Gower College Swansea is committed to safeguarding and promoting the welfare of young people and expects all staff to share this commitment. Appointments are subject to an enhanced DBS check and require registration with the Education Workforce Council for Wales.
Appointments will normally be made to the bottom of the salary scale with annual increments on 1st August each year (subject to a start date before 1st February).
Job Title: Undergraduate Admissions Coordinator Department: Recruitment & Admissions Grade: Grade 5 Salary range: £24,285 - £27,131 per annum Working arrangements: Generally Monday - Friday 9am - 5pm, with some evening and weekend work. Recruitment & Admissions staff are currently hybrid working, and from 3 October staff will normally work on-site for a minimum of two days per week (40% of contracted hours), Monday - Friday. Closing date: 3rd October 2022 The University At Durham University we are proud of our people. A globally outstanding centre of educational excellence, a collegiate community of extraordinary people, a unique and historic setting - Durham is a university like no other. Across the University we have a huge variety of roles and career opportunities, which together make us a large and successful community, which is a key hub of activity within our region and nationally. Whether you are at the very start, middle or end of your career, there is a role for you. We believe everyone has their own unique skills to offer. We would be thrilled if you would consider joining our thriving University. Further information about the University can be found here The Role and the Department The Admissions Coordinator supports a professional, knowledgeable, effective and efficient admissions service delivering the University's strategic aims and targets and ensuring that University and external regulations and policies are adhered to. The post involves processing applications with a focus on certain departments and/or applicants, applying judgement to independently make criteria-based decisions. The post will take a lead within the admissions team on an area of work, identifying opportunities to make improvements where possible and then promoting these ideas to others. It also involves providing information, advice and guidance and developing positive working relationships with other staff within Recruitment and Admissions, across the wider University, and beyond. A commitment to maximising personal and team effectiveness and the principles of equality and diversity is essential. Occasional weekend/evening working will be required. This is to attend external events and assist with tasks such as open days and undergraduate confirmation. Due to the operational needs of the Office, annual leave is not permitted between the receipt of A level results and the 31st August each year, and the number of staff permitted to be on annual leave during September and other peak periods is restricted. Recruitment and Admissions Services Based in the Global Division, Recruitment and Admissions Services brings together a number of teams providing services in events, enquiry management, CRM, data analysis and forecasting, projects and compliance and admissions. It provides an essential service to the University in ensuring its financial sustainability and in delivering student number growth and increasing diversity in line with strategic aims and targets. We are the public face of the University in UK schools and colleges, through our contact with prospects, enquirers and applicants across the world and through our events programme. The team includes a range of professionals from a number of specialisms including administrators, decision makers, data analysts and forecasters, IT specialists, designers and marketers, events managers and recruiters. Working at Durham A competitive salary is only one part of the many fantastic benefits you will receive if you join the University: you will also receive access to the following fantastic benefits: • 27 Days annual leave per year in addition to 8 public holidays and 4 customary days per year - a total of 39 days per year. The University closes between Christmas and New Year. • No matter how you travel to work, we have you covered. We have parking across campus, a cycle to work scheme which helps you to buy a bike and discount with local bus and train companies. • Lots of support for health and wellbeing including discounted membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme. • On site nursery is available and children's clubs in the summer holidays. • Family friendly policies, including maternity and adoption leave, which are among the most generous in the higher education sector (and likely above and beyond many employers). • There is a genuine commitment to developing our colleagues professionally and personally. There is a comprehensive range of development courses, apprenticeships and access to qualifications and routes to develop your career in the University. All staff have dedicated annual time to concentrate on their personal development opportunities. • The opportunity to take part in staff volunteering activities to make a difference in the local community • Discounts are available via our benefits portal including; money off at supermarkets, high street retailers, IT products such as Apple, the cinema and days out at various attractions. • We offer generous pension schemes. Durham University is committed to equality diversity, inclusion and values Our collective aim is to create an open and inclusive environment where everyone can reach their full potential and we believe our staff should reflect the diversity of the global community in which we work. As a University equality, diversity, and inclusion (EDI) are a key part of the University's Strategy and a central part of everything we do. We also live by our values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and live in a community which is supportive and inclusive. It's important to us that all of our colleagues are aligned to both our values and commitment to EDI. We welcome and encourage applications from members of groups who are under-represented in our work force including people with disabilities, women and black, Asian and minority ethnic communities. If you have taken time out of your career, and you feel it relevant, let us know about it in your application. If you are a candidate with a disability, we are committed to ensuring fair treatment throughout the recruitment process. We will make adjustments to support the interview process wherever it is reasonable to do so and, where successful, reasonable adjustments will be made to support people within their role. What you need to demonstrate when you apply/Person Specification When you apply it is important that you let us know what skills/experience you have from a similar role and/or what skills/experience you have which would make you right for this role. Further information about the role and responsibilities is at the end of this job description. Where a criteria has an asterix next to it, it may be given additional weighting when your application is considered. Your application should cover the following criteria: Essential Criteria 1. Excellent oral and written communication skills and the ability to develop effective working relationships, both internally and externally. 2. Strong digital competence with demonstrable skills in using core digital tools including internet, email, digital communication tools, and Microsoft 365 applications. 3. Five GCSE's at least Grade C or level four (or equivalent) including English Language and Mathematics (or equivalent experience). 4. Evidence of personal development to maintain skills. 5. Post-16 qualification or equivalent experience. 6. Relevant administrative experience in a busy, data driven, office environment. 7. Demonstrable ability to proactively work with team members to ensure the delivery of high quality services. 8. Demonstrable ability to provide advice and guidance to a range of customers and colleagues. 9. Experience of working on the front line with service delivery, and the ability to work under pressure and meet tight deadlines without compromising on quality. 10. Ability to solve problems as part of a team and resolve issues, plan solutions and make pragmatic decisions. 11. Ability to effectively network and exchange advice and information for development purposes. 12. Experience of working with complex administrative processes and requiring a high level of accuracy and attention to detail. 13. Ability to make criteria-based decisions and to think critically with sound judgement. Desirable Criteria 1. A good understanding of the student experience provided at Durham University 2. Knowledge and experience of Higher Education admissions processes, including making decisions on applications. How to apply To progress to the assessment stage, candidates must evidence each of the essential criteria required for the role in the person specification above. Where there are desirable criteria we would also urge you to provide any relevant evidence. Please don't forget to check if there is any weighted criteria (see above). While some criteria will be considered at the shortlisting stage, other criteria may be considered later in the assessment process, such as questions at interview. Submitting your application We prefer to receive applications online. We will update you about your application at various points during the process, via automated emails from our e-recruitment system. Please check your spam/junk folder periodically to ensure you receive all emails What you are required to submit: • A CV..... click apply for full job details
24/09/2022
Full time
Job Title: Undergraduate Admissions Coordinator Department: Recruitment & Admissions Grade: Grade 5 Salary range: £24,285 - £27,131 per annum Working arrangements: Generally Monday - Friday 9am - 5pm, with some evening and weekend work. Recruitment & Admissions staff are currently hybrid working, and from 3 October staff will normally work on-site for a minimum of two days per week (40% of contracted hours), Monday - Friday. Closing date: 3rd October 2022 The University At Durham University we are proud of our people. A globally outstanding centre of educational excellence, a collegiate community of extraordinary people, a unique and historic setting - Durham is a university like no other. Across the University we have a huge variety of roles and career opportunities, which together make us a large and successful community, which is a key hub of activity within our region and nationally. Whether you are at the very start, middle or end of your career, there is a role for you. We believe everyone has their own unique skills to offer. We would be thrilled if you would consider joining our thriving University. Further information about the University can be found here The Role and the Department The Admissions Coordinator supports a professional, knowledgeable, effective and efficient admissions service delivering the University's strategic aims and targets and ensuring that University and external regulations and policies are adhered to. The post involves processing applications with a focus on certain departments and/or applicants, applying judgement to independently make criteria-based decisions. The post will take a lead within the admissions team on an area of work, identifying opportunities to make improvements where possible and then promoting these ideas to others. It also involves providing information, advice and guidance and developing positive working relationships with other staff within Recruitment and Admissions, across the wider University, and beyond. A commitment to maximising personal and team effectiveness and the principles of equality and diversity is essential. Occasional weekend/evening working will be required. This is to attend external events and assist with tasks such as open days and undergraduate confirmation. Due to the operational needs of the Office, annual leave is not permitted between the receipt of A level results and the 31st August each year, and the number of staff permitted to be on annual leave during September and other peak periods is restricted. Recruitment and Admissions Services Based in the Global Division, Recruitment and Admissions Services brings together a number of teams providing services in events, enquiry management, CRM, data analysis and forecasting, projects and compliance and admissions. It provides an essential service to the University in ensuring its financial sustainability and in delivering student number growth and increasing diversity in line with strategic aims and targets. We are the public face of the University in UK schools and colleges, through our contact with prospects, enquirers and applicants across the world and through our events programme. The team includes a range of professionals from a number of specialisms including administrators, decision makers, data analysts and forecasters, IT specialists, designers and marketers, events managers and recruiters. Working at Durham A competitive salary is only one part of the many fantastic benefits you will receive if you join the University: you will also receive access to the following fantastic benefits: • 27 Days annual leave per year in addition to 8 public holidays and 4 customary days per year - a total of 39 days per year. The University closes between Christmas and New Year. • No matter how you travel to work, we have you covered. We have parking across campus, a cycle to work scheme which helps you to buy a bike and discount with local bus and train companies. • Lots of support for health and wellbeing including discounted membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme. • On site nursery is available and children's clubs in the summer holidays. • Family friendly policies, including maternity and adoption leave, which are among the most generous in the higher education sector (and likely above and beyond many employers). • There is a genuine commitment to developing our colleagues professionally and personally. There is a comprehensive range of development courses, apprenticeships and access to qualifications and routes to develop your career in the University. All staff have dedicated annual time to concentrate on their personal development opportunities. • The opportunity to take part in staff volunteering activities to make a difference in the local community • Discounts are available via our benefits portal including; money off at supermarkets, high street retailers, IT products such as Apple, the cinema and days out at various attractions. • We offer generous pension schemes. Durham University is committed to equality diversity, inclusion and values Our collective aim is to create an open and inclusive environment where everyone can reach their full potential and we believe our staff should reflect the diversity of the global community in which we work. As a University equality, diversity, and inclusion (EDI) are a key part of the University's Strategy and a central part of everything we do. We also live by our values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and live in a community which is supportive and inclusive. It's important to us that all of our colleagues are aligned to both our values and commitment to EDI. We welcome and encourage applications from members of groups who are under-represented in our work force including people with disabilities, women and black, Asian and minority ethnic communities. If you have taken time out of your career, and you feel it relevant, let us know about it in your application. If you are a candidate with a disability, we are committed to ensuring fair treatment throughout the recruitment process. We will make adjustments to support the interview process wherever it is reasonable to do so and, where successful, reasonable adjustments will be made to support people within their role. What you need to demonstrate when you apply/Person Specification When you apply it is important that you let us know what skills/experience you have from a similar role and/or what skills/experience you have which would make you right for this role. Further information about the role and responsibilities is at the end of this job description. Where a criteria has an asterix next to it, it may be given additional weighting when your application is considered. Your application should cover the following criteria: Essential Criteria 1. Excellent oral and written communication skills and the ability to develop effective working relationships, both internally and externally. 2. Strong digital competence with demonstrable skills in using core digital tools including internet, email, digital communication tools, and Microsoft 365 applications. 3. Five GCSE's at least Grade C or level four (or equivalent) including English Language and Mathematics (or equivalent experience). 4. Evidence of personal development to maintain skills. 5. Post-16 qualification or equivalent experience. 6. Relevant administrative experience in a busy, data driven, office environment. 7. Demonstrable ability to proactively work with team members to ensure the delivery of high quality services. 8. Demonstrable ability to provide advice and guidance to a range of customers and colleagues. 9. Experience of working on the front line with service delivery, and the ability to work under pressure and meet tight deadlines without compromising on quality. 10. Ability to solve problems as part of a team and resolve issues, plan solutions and make pragmatic decisions. 11. Ability to effectively network and exchange advice and information for development purposes. 12. Experience of working with complex administrative processes and requiring a high level of accuracy and attention to detail. 13. Ability to make criteria-based decisions and to think critically with sound judgement. Desirable Criteria 1. A good understanding of the student experience provided at Durham University 2. Knowledge and experience of Higher Education admissions processes, including making decisions on applications. How to apply To progress to the assessment stage, candidates must evidence each of the essential criteria required for the role in the person specification above. Where there are desirable criteria we would also urge you to provide any relevant evidence. Please don't forget to check if there is any weighted criteria (see above). While some criteria will be considered at the shortlisting stage, other criteria may be considered later in the assessment process, such as questions at interview. Submitting your application We prefer to receive applications online. We will update you about your application at various points during the process, via automated emails from our e-recruitment system. Please check your spam/junk folder periodically to ensure you receive all emails What you are required to submit: • A CV..... click apply for full job details
Our client is a data management software specialist based in Reading that was specially created for organisations that rely on volumes of complex data, and need to achieve results from data-related projects within predictable budgets and timescales.
We are XL Graduate Placement Ltd and we specialise in graduate recruitment for businesses across the United Kingdom. We seek graduate jobs that are a mixture of short term or business improvement projects which are most likely to lead to permanent graduate positions.
The Graduate Role:
This is a permanent graduate position with a starting salary circa £20,000.
Graduate Job:
This is a Graduate IT Analyst Developer role based in Reading, Berkshire. You would be required to undertake the following tasks:
* To work with the Healthcare Product Development Manager to provide solutions to satisfy customer requirements
* To develop and test the health care products under the instructions of the Healthcare Product Development Manager
* To ensure that documentation is fully updated and compliant with the standards for each healthcare product.
* To provide pre-sales support to the Healthcare Product Development Manager
* To support and maintain the standards for development of the healthcare products
* To be able to provide support to the professional services team with use and customisation of the health care products (support calls)
* To be able to work on site with the professional services team as a temporary implementation consultant to support the business needs.
* To highlight to the Data Academy development team any bugs and enhancements that could support the growth of healthcare products and Data Academy.
* To test and peer review others development.
* To suggest and feedback any client requirements and improvements
* To occasionally provide a proof of concept
* To occasionally have to train our staff in the use of the products.
* To help design the interface of the Healthcare products.
* To assist in the build and testing process of the Healthcare products.
Graduate Skills requirement:
The successful candidate will be degree qualified in Computer Science, IT or related and have the following skills:
* Ideally one year's industrial placement undertaken as part of your degree
* Knowledge of Microsoft SQL Server 2005, 2008R2, 2012 & Greater
* Knowledge of normalisation Techniques
* Knowledge of de-normalisation Techniques
* Knowledge of T-SQL
* SSAS - awareness of key principles
* SSRS - awareness of key principles
* SSIS - awareness of key principles
* Excellent communication skills and the ability to develop strong working relationships with all levels and groups of staff on information and data related issues
* Methodical in approach, with effective problem solving ability
* Ability to interpret customer requirements and translate these into technical specifications as required
* Based from our office in Reading therefore must live within commuting distance - there will be flexibility to work from home 2/3 days a week. Occasional travel to client sites may be required. Will ideally have a full clean driving licence
Please note that this graduate recruitment exercise is to identify a IT/ Computer Science Graduate for a permanent position based in Reading - all applicants will be expected to travel to this location for an interview and then each day of work.
If you feel you have the necessary skills for this excellent graduate opportunity, then please apply online.
We look forward to hearing from you.
If you are interested in this placement please apply by clicking on the link below or contact XL Graduate Placement for further details.
XL Graduate Placement is the UK's leading graduate recruitment specialists with nationwide opportunities for graduates across all industry sectors, including; HR, Engineering, Business, Marketing, Finance, Construction and ICT. We place graduates in permanent positions with our clients, as well as 5-6 month paid work placements directly linked to your future career choice - more than two thirds of our placements directly end with permanent graduate positions.
XL Graduate Placement is part of Nicholas Associates Group, a market leading partner of choice for talent management solutions, from Apprentice to Boardroom. For us, it's all about enabling people to be their best.
To find out more about us please visit (url removed)
09/09/2016
Our client is a data management software specialist based in Reading that was specially created for organisations that rely on volumes of complex data, and need to achieve results from data-related projects within predictable budgets and timescales.
We are XL Graduate Placement Ltd and we specialise in graduate recruitment for businesses across the United Kingdom. We seek graduate jobs that are a mixture of short term or business improvement projects which are most likely to lead to permanent graduate positions.
The Graduate Role:
This is a permanent graduate position with a starting salary circa £20,000.
Graduate Job:
This is a Graduate IT Analyst Developer role based in Reading, Berkshire. You would be required to undertake the following tasks:
* To work with the Healthcare Product Development Manager to provide solutions to satisfy customer requirements
* To develop and test the health care products under the instructions of the Healthcare Product Development Manager
* To ensure that documentation is fully updated and compliant with the standards for each healthcare product.
* To provide pre-sales support to the Healthcare Product Development Manager
* To support and maintain the standards for development of the healthcare products
* To be able to provide support to the professional services team with use and customisation of the health care products (support calls)
* To be able to work on site with the professional services team as a temporary implementation consultant to support the business needs.
* To highlight to the Data Academy development team any bugs and enhancements that could support the growth of healthcare products and Data Academy.
* To test and peer review others development.
* To suggest and feedback any client requirements and improvements
* To occasionally provide a proof of concept
* To occasionally have to train our staff in the use of the products.
* To help design the interface of the Healthcare products.
* To assist in the build and testing process of the Healthcare products.
Graduate Skills requirement:
The successful candidate will be degree qualified in Computer Science, IT or related and have the following skills:
* Ideally one year's industrial placement undertaken as part of your degree
* Knowledge of Microsoft SQL Server 2005, 2008R2, 2012 & Greater
* Knowledge of normalisation Techniques
* Knowledge of de-normalisation Techniques
* Knowledge of T-SQL
* SSAS - awareness of key principles
* SSRS - awareness of key principles
* SSIS - awareness of key principles
* Excellent communication skills and the ability to develop strong working relationships with all levels and groups of staff on information and data related issues
* Methodical in approach, with effective problem solving ability
* Ability to interpret customer requirements and translate these into technical specifications as required
* Based from our office in Reading therefore must live within commuting distance - there will be flexibility to work from home 2/3 days a week. Occasional travel to client sites may be required. Will ideally have a full clean driving licence
Please note that this graduate recruitment exercise is to identify a IT/ Computer Science Graduate for a permanent position based in Reading - all applicants will be expected to travel to this location for an interview and then each day of work.
If you feel you have the necessary skills for this excellent graduate opportunity, then please apply online.
We look forward to hearing from you.
If you are interested in this placement please apply by clicking on the link below or contact XL Graduate Placement for further details.
XL Graduate Placement is the UK's leading graduate recruitment specialists with nationwide opportunities for graduates across all industry sectors, including; HR, Engineering, Business, Marketing, Finance, Construction and ICT. We place graduates in permanent positions with our clients, as well as 5-6 month paid work placements directly linked to your future career choice - more than two thirds of our placements directly end with permanent graduate positions.
XL Graduate Placement is part of Nicholas Associates Group, a market leading partner of choice for talent management solutions, from Apprentice to Boardroom. For us, it's all about enabling people to be their best.
To find out more about us please visit (url removed)
Our client is a data management software specialist based in Reading that was specially created for organisations that rely on volumes of complex data, and need to achieve results from data-related projects within predictable budgets and timescales.
We are XL Graduate Placement Ltd and we specialise in graduate recruitment for businesses across the United Kingdom. We seek graduate jobs that are a mixture of short term or business improvement projects which are most likely to lead to permanent graduate positions.
The Graduate Role:
This is a permanent graduate position with a starting salary circa £20,000.
Graduate Job:
This is a Graduate IT Analyst Developer role based in Reading, Berkshire. You would be required to undertake the following tasks:
* To work with the Healthcare Product Development Manager to provide solutions to satisfy customer requirements
* To develop and test the health care products under the instructions of the Healthcare Product Development Manager
* To ensure that documentation is fully updated and compliant with the standards for each healthcare product.
* To provide pre-sales support to the Healthcare Product Development Manager
* To support and maintain the standards for development of the healthcare products
* To be able to provide support to the professional services team with use and customisation of the health care products (support calls)
* To be able to work on site with the professional services team as a temporary implementation consultant to support the business needs.
* To highlight to the Data Academy development team any bugs and enhancements that could support the growth of healthcare products and Data Academy.
* To test and peer review others development.
* To suggest and feedback any client requirements and improvements
* To occasionally provide a proof of concept
* To occasionally have to train our staff in the use of the products.
* To help design the interface of the Healthcare products.
* To assist in the build and testing process of the Healthcare products.
Graduate Skills requirement:
The successful candidate will be degree qualified in Computer Science, IT or related and have the following skills:
* Ideally one year's industrial placement undertaken as part of your degree
* Knowledge of Microsoft SQL Server 2005, 2008R2, 2012 & Greater
* Knowledge of normalisation Techniques
* Knowledge of de-normalisation Techniques
* Knowledge of T-SQL
* SSAS - awareness of key principles
* SSRS - awareness of key principles
* SSIS - awareness of key principles
* Excellent communication skills and the ability to develop strong working relationships with all levels and groups of staff on information and data related issues
* Methodical in approach, with effective problem solving ability
* Ability to interpret customer requirements and translate these into technical specifications as required
* Based from our office in Reading therefore must live within commuting distance - there will be flexibility to work from home 2/3 days a week. Occasional travel to client sites may be required. Will ideally have a full clean driving licence
Please note that this graduate recruitment exercise is to identify a IT/ Computer Science Graduate for a permanent position based in Reading - all applicants will be expected to travel to this location for an interview and then each day of work.
If you feel you have the necessary skills for this excellent graduate opportunity, then please apply online.
We look forward to hearing from you.
If you are interested in this placement please apply by clicking on the link below or contact XL Graduate Placement for further details.
XL Graduate Placement is the UK's leading graduate recruitment specialists with nationwide opportunities for graduates across all industry sectors, including; HR, Engineering, Business, Marketing, Finance, Construction and ICT. We place graduates in permanent positions with our clients, as well as 5-6 month paid work placements directly linked to your future career choice - more than two thirds of our placements directly end with permanent graduate positions.
XL Graduate Placement is part of Nicholas Associates Group, a market leading partner of choice for talent management solutions, from Apprentice to Boardroom. For us, it's all about enabling people to be their best.
To find out more about us please visit (url removed)
09/09/2016
Our client is a data management software specialist based in Reading that was specially created for organisations that rely on volumes of complex data, and need to achieve results from data-related projects within predictable budgets and timescales.
We are XL Graduate Placement Ltd and we specialise in graduate recruitment for businesses across the United Kingdom. We seek graduate jobs that are a mixture of short term or business improvement projects which are most likely to lead to permanent graduate positions.
The Graduate Role:
This is a permanent graduate position with a starting salary circa £20,000.
Graduate Job:
This is a Graduate IT Analyst Developer role based in Reading, Berkshire. You would be required to undertake the following tasks:
* To work with the Healthcare Product Development Manager to provide solutions to satisfy customer requirements
* To develop and test the health care products under the instructions of the Healthcare Product Development Manager
* To ensure that documentation is fully updated and compliant with the standards for each healthcare product.
* To provide pre-sales support to the Healthcare Product Development Manager
* To support and maintain the standards for development of the healthcare products
* To be able to provide support to the professional services team with use and customisation of the health care products (support calls)
* To be able to work on site with the professional services team as a temporary implementation consultant to support the business needs.
* To highlight to the Data Academy development team any bugs and enhancements that could support the growth of healthcare products and Data Academy.
* To test and peer review others development.
* To suggest and feedback any client requirements and improvements
* To occasionally provide a proof of concept
* To occasionally have to train our staff in the use of the products.
* To help design the interface of the Healthcare products.
* To assist in the build and testing process of the Healthcare products.
Graduate Skills requirement:
The successful candidate will be degree qualified in Computer Science, IT or related and have the following skills:
* Ideally one year's industrial placement undertaken as part of your degree
* Knowledge of Microsoft SQL Server 2005, 2008R2, 2012 & Greater
* Knowledge of normalisation Techniques
* Knowledge of de-normalisation Techniques
* Knowledge of T-SQL
* SSAS - awareness of key principles
* SSRS - awareness of key principles
* SSIS - awareness of key principles
* Excellent communication skills and the ability to develop strong working relationships with all levels and groups of staff on information and data related issues
* Methodical in approach, with effective problem solving ability
* Ability to interpret customer requirements and translate these into technical specifications as required
* Based from our office in Reading therefore must live within commuting distance - there will be flexibility to work from home 2/3 days a week. Occasional travel to client sites may be required. Will ideally have a full clean driving licence
Please note that this graduate recruitment exercise is to identify a IT/ Computer Science Graduate for a permanent position based in Reading - all applicants will be expected to travel to this location for an interview and then each day of work.
If you feel you have the necessary skills for this excellent graduate opportunity, then please apply online.
We look forward to hearing from you.
If you are interested in this placement please apply by clicking on the link below or contact XL Graduate Placement for further details.
XL Graduate Placement is the UK's leading graduate recruitment specialists with nationwide opportunities for graduates across all industry sectors, including; HR, Engineering, Business, Marketing, Finance, Construction and ICT. We place graduates in permanent positions with our clients, as well as 5-6 month paid work placements directly linked to your future career choice - more than two thirds of our placements directly end with permanent graduate positions.
XL Graduate Placement is part of Nicholas Associates Group, a market leading partner of choice for talent management solutions, from Apprentice to Boardroom. For us, it's all about enabling people to be their best.
To find out more about us please visit (url removed)
Our client is a data management software specialist based in Reading that was specially created for organisations that rely on volumes of complex data, and need to achieve results from data-related projects within predictable budgets and timescales.
We are XL Graduate Placement Ltd and we specialise in graduate recruitment for businesses across the United Kingdom. We seek graduate jobs that are a mixture of short term or business improvement projects which are most likely to lead to permanent graduate positions.
The Graduate Role:
This is a permanent graduate position with a starting salary circa £20,000.
Graduate Job:
This is a Graduate IT Analyst Developer role based in Reading, Berkshire. You would be required to undertake the following tasks:
* To work with the Healthcare Product Development Manager to provide solutions to satisfy customer requirements
* To develop and test the health care products under the instructions of the Healthcare Product Development Manager
* To ensure that documentation is fully updated and compliant with the standards for each healthcare product.
* To provide pre-sales support to the Healthcare Product Development Manager
* To support and maintain the standards for development of the healthcare products
* To be able to provide support to the professional services team with use and customisation of the health care products (support calls)
* To be able to work on site with the professional services team as a temporary implementation consultant to support the business needs.
* To highlight to the Data Academy development team any bugs and enhancements that could support the growth of healthcare products and Data Academy.
* To test and peer review others development.
* To suggest and feedback any client requirements and improvements
* To occasionally provide a proof of concept
* To occasionally have to train our staff in the use of the products.
* To help design the interface of the Healthcare products.
* To assist in the build and testing process of the Healthcare products.
Graduate Skills requirement:
The successful candidate will be degree qualified in Computer Science, IT or related and have the following skills:
* Ideally one year's industrial placement undertaken as part of your degree
* Knowledge of Microsoft SQL Server 2005, 2008R2, 2012 & Greater
* Knowledge of normalisation Techniques
* Knowledge of de-normalisation Techniques
* Knowledge of T-SQL
* SSAS - awareness of key principles
* SSRS - awareness of key principles
* SSIS - awareness of key principles
* Excellent communication skills and the ability to develop strong working relationships with all levels and groups of staff on information and data related issues
* Methodical in approach, with effective problem solving ability
* Ability to interpret customer requirements and translate these into technical specifications as required
* Based from our office in Reading therefore must live within commuting distance - there will be flexibility to work from home 2/3 days a week. Occasional travel to client sites may be required. Will ideally have a full clean driving licence
Please note that this graduate recruitment exercise is to identify a IT/ Computer Science Graduate for a permanent position based in Reading - all applicants will be expected to travel to this location for an interview and then each day of work.
If you feel you have the necessary skills for this excellent graduate opportunity, then please apply online.
We look forward to hearing from you.
If you are interested in this placement please apply by clicking on the link below or contact XL Graduate Placement for further details.
XL Graduate Placement is the UK's leading graduate recruitment specialists with nationwide opportunities for graduates across all industry sectors, including; HR, Engineering, Business, Marketing, Finance, Construction and ICT. We place graduates in permanent positions with our clients, as well as 5-6 month paid work placements directly linked to your future career choice - more than two thirds of our placements directly end with permanent graduate positions.
XL Graduate Placement is part of Nicholas Associates Group, a market leading partner of choice for talent management solutions, from Apprentice to Boardroom. For us, it's all about enabling people to be their best.
To find out more about us please visit (url removed)
09/09/2016
Our client is a data management software specialist based in Reading that was specially created for organisations that rely on volumes of complex data, and need to achieve results from data-related projects within predictable budgets and timescales.
We are XL Graduate Placement Ltd and we specialise in graduate recruitment for businesses across the United Kingdom. We seek graduate jobs that are a mixture of short term or business improvement projects which are most likely to lead to permanent graduate positions.
The Graduate Role:
This is a permanent graduate position with a starting salary circa £20,000.
Graduate Job:
This is a Graduate IT Analyst Developer role based in Reading, Berkshire. You would be required to undertake the following tasks:
* To work with the Healthcare Product Development Manager to provide solutions to satisfy customer requirements
* To develop and test the health care products under the instructions of the Healthcare Product Development Manager
* To ensure that documentation is fully updated and compliant with the standards for each healthcare product.
* To provide pre-sales support to the Healthcare Product Development Manager
* To support and maintain the standards for development of the healthcare products
* To be able to provide support to the professional services team with use and customisation of the health care products (support calls)
* To be able to work on site with the professional services team as a temporary implementation consultant to support the business needs.
* To highlight to the Data Academy development team any bugs and enhancements that could support the growth of healthcare products and Data Academy.
* To test and peer review others development.
* To suggest and feedback any client requirements and improvements
* To occasionally provide a proof of concept
* To occasionally have to train our staff in the use of the products.
* To help design the interface of the Healthcare products.
* To assist in the build and testing process of the Healthcare products.
Graduate Skills requirement:
The successful candidate will be degree qualified in Computer Science, IT or related and have the following skills:
* Ideally one year's industrial placement undertaken as part of your degree
* Knowledge of Microsoft SQL Server 2005, 2008R2, 2012 & Greater
* Knowledge of normalisation Techniques
* Knowledge of de-normalisation Techniques
* Knowledge of T-SQL
* SSAS - awareness of key principles
* SSRS - awareness of key principles
* SSIS - awareness of key principles
* Excellent communication skills and the ability to develop strong working relationships with all levels and groups of staff on information and data related issues
* Methodical in approach, with effective problem solving ability
* Ability to interpret customer requirements and translate these into technical specifications as required
* Based from our office in Reading therefore must live within commuting distance - there will be flexibility to work from home 2/3 days a week. Occasional travel to client sites may be required. Will ideally have a full clean driving licence
Please note that this graduate recruitment exercise is to identify a IT/ Computer Science Graduate for a permanent position based in Reading - all applicants will be expected to travel to this location for an interview and then each day of work.
If you feel you have the necessary skills for this excellent graduate opportunity, then please apply online.
We look forward to hearing from you.
If you are interested in this placement please apply by clicking on the link below or contact XL Graduate Placement for further details.
XL Graduate Placement is the UK's leading graduate recruitment specialists with nationwide opportunities for graduates across all industry sectors, including; HR, Engineering, Business, Marketing, Finance, Construction and ICT. We place graduates in permanent positions with our clients, as well as 5-6 month paid work placements directly linked to your future career choice - more than two thirds of our placements directly end with permanent graduate positions.
XL Graduate Placement is part of Nicholas Associates Group, a market leading partner of choice for talent management solutions, from Apprentice to Boardroom. For us, it's all about enabling people to be their best.
To find out more about us please visit (url removed)
