Location Darlington, London, Manchester, Wolverhampton About the job Job summary AI technology is rapidly evolving and there is immense opportunity to harness this capability to transform delivery at MHCLG. The new AI directorate at MHCLG is driving forward AI development and adoption across the department and support to partners in local government. We are looking for a passionate and enthusiastic lead AI engineer to join our team and be at the leading edge of AI delivery in a central government department, to deliver high-impact projects at pace to improve outcomes and productivity. You will unlock new approaches through the adoption of AI tools and techniques to build the evidence base that drives smarter, more impactful decisions. You will contribute to the discovery, pilot, implementation and scaling of AI projects by the Directorate, developing models for secure, ethical and effective AI tools that deliver high value opportunities and improve outcomes. You will join a multi-disciplinary team of technical experts (including data engineers, data scientists, developers, user research, delivery managers, service owners) with an ambitious and exciting remit to harness the potential of AI, working on high impact projects that deliver operational efficiencies and support policy development through the rapid prototyping and scaling of products and services. You will be forward deployed , working collaboratively across the organisation and with external partners, interacting with a range of stakeholders to explore, build and maintain foundational AI capability and champion the role and impact of AI in the process. Find out more about our Digital teams and what they are working on through our MHCLG Digital blog . Please note that MHCLG do not offer visa sponsorship and applicants will need a valid visa for the duration of your employment. Job description As a Lead AI Engineer, you'll: Work within agile, multidisciplinary teams to identify, develop, configure and deliver AI / machine learning models so they can be used in products and services, defining minimum viable products (MVPs) and iterating based on user needs Engaging with programme leads and stakeholders to ensure approaches are appropriate and outputs meet end-user expectations Lead workstreams to identify, develop, configure and deliver AI models for AI prototyping and scaling, testing and production and assuring them to ensure they meet performance requirements Working closely with others to integrate models into existing systems Take responsibility for ensuring models used in live products and services stay safe, secure and continue to work effectively, apply your knowledge of policies relating to AI ethics and responsible use Work with stakeholders to identify and address ethical and privacy concerns. Research and apply developments in data ethics and privacy to improve compliance and processes Confidently define / build / configure AI models to support AI delivery in line with best practice and standards Use agreed specifications to design, code, test and document programs or scripts of medium-to-high complexity, using the right standards and tools Establish enterprise-scale AI deployment / life cycle working in collaboration with Digital / Cyber / Data Protection and Knowledge Information Management teams Continuously improve delivery by identifying potential efficiencies and savings in existing processes, ensuring resources are utilised appropriately Lead on collaboration and building AI capability while supporting the continuous development and upskilling of the wider technical team Line or matrix manage junior members of the team and interns as required, providing support to their learning and development Role model and champion your role in AI across the organisation and more widely across government and have a curiosity for the latest trends in GenAI, LLMOps, and ML more broadly Person specification As a Lead AI Engineer, you'll have: A passion for utilising data and AI responsibly for the public good and to improve citizens lives Experience building end-to-end LLM applications (prompt engineering, data models, API integration, input/output handling, training, monitoring) Python expertise: strong experience with core libraries and writing clear, modular, reusable code with error handling and logging Cloud and tooling skills: experience working with Azure or AWS; and familiarity with version control (Git/GitHub), command line, and IDEs Software engineering practices: unit testing (e.g. pytest), code reviews, and general good practice in collaborative development Applied data science skills: strong grounding in statistics and a range of standard techniques (supervised/unsupervised ML, cross-validation, time-series, NLP basics, SQL) Communication skills: able to explain technical work clearly to both technical and non-technical audiences, manage active and reactive communication, support or host difficult discussions within the team or with diverse senior stakeholders Delivery and collaboration skills: proactive, self-motivated, organised, and effective at working to deadlines as part of a team Proven and relevant professional experience in a data science or related field, or a combination of qualifications/certifications and experience that demonstrates technical capability
04/03/2026
Full time
Location Darlington, London, Manchester, Wolverhampton About the job Job summary AI technology is rapidly evolving and there is immense opportunity to harness this capability to transform delivery at MHCLG. The new AI directorate at MHCLG is driving forward AI development and adoption across the department and support to partners in local government. We are looking for a passionate and enthusiastic lead AI engineer to join our team and be at the leading edge of AI delivery in a central government department, to deliver high-impact projects at pace to improve outcomes and productivity. You will unlock new approaches through the adoption of AI tools and techniques to build the evidence base that drives smarter, more impactful decisions. You will contribute to the discovery, pilot, implementation and scaling of AI projects by the Directorate, developing models for secure, ethical and effective AI tools that deliver high value opportunities and improve outcomes. You will join a multi-disciplinary team of technical experts (including data engineers, data scientists, developers, user research, delivery managers, service owners) with an ambitious and exciting remit to harness the potential of AI, working on high impact projects that deliver operational efficiencies and support policy development through the rapid prototyping and scaling of products and services. You will be forward deployed , working collaboratively across the organisation and with external partners, interacting with a range of stakeholders to explore, build and maintain foundational AI capability and champion the role and impact of AI in the process. Find out more about our Digital teams and what they are working on through our MHCLG Digital blog . Please note that MHCLG do not offer visa sponsorship and applicants will need a valid visa for the duration of your employment. Job description As a Lead AI Engineer, you'll: Work within agile, multidisciplinary teams to identify, develop, configure and deliver AI / machine learning models so they can be used in products and services, defining minimum viable products (MVPs) and iterating based on user needs Engaging with programme leads and stakeholders to ensure approaches are appropriate and outputs meet end-user expectations Lead workstreams to identify, develop, configure and deliver AI models for AI prototyping and scaling, testing and production and assuring them to ensure they meet performance requirements Working closely with others to integrate models into existing systems Take responsibility for ensuring models used in live products and services stay safe, secure and continue to work effectively, apply your knowledge of policies relating to AI ethics and responsible use Work with stakeholders to identify and address ethical and privacy concerns. Research and apply developments in data ethics and privacy to improve compliance and processes Confidently define / build / configure AI models to support AI delivery in line with best practice and standards Use agreed specifications to design, code, test and document programs or scripts of medium-to-high complexity, using the right standards and tools Establish enterprise-scale AI deployment / life cycle working in collaboration with Digital / Cyber / Data Protection and Knowledge Information Management teams Continuously improve delivery by identifying potential efficiencies and savings in existing processes, ensuring resources are utilised appropriately Lead on collaboration and building AI capability while supporting the continuous development and upskilling of the wider technical team Line or matrix manage junior members of the team and interns as required, providing support to their learning and development Role model and champion your role in AI across the organisation and more widely across government and have a curiosity for the latest trends in GenAI, LLMOps, and ML more broadly Person specification As a Lead AI Engineer, you'll have: A passion for utilising data and AI responsibly for the public good and to improve citizens lives Experience building end-to-end LLM applications (prompt engineering, data models, API integration, input/output handling, training, monitoring) Python expertise: strong experience with core libraries and writing clear, modular, reusable code with error handling and logging Cloud and tooling skills: experience working with Azure or AWS; and familiarity with version control (Git/GitHub), command line, and IDEs Software engineering practices: unit testing (e.g. pytest), code reviews, and general good practice in collaborative development Applied data science skills: strong grounding in statistics and a range of standard techniques (supervised/unsupervised ML, cross-validation, time-series, NLP basics, SQL) Communication skills: able to explain technical work clearly to both technical and non-technical audiences, manage active and reactive communication, support or host difficult discussions within the team or with diverse senior stakeholders Delivery and collaboration skills: proactive, self-motivated, organised, and effective at working to deadlines as part of a team Proven and relevant professional experience in a data science or related field, or a combination of qualifications/certifications and experience that demonstrates technical capability
Junior Data Scientist / Data Analyst £34,000 - £38,000 + benefits Full Time / Permanent Tamworth The Company Akkodis are partnering with a market leading manufacturing company who are looking for a driven Junior Data Scientist / Data Analyst to join their IT development team. This is primarily an office based role based at the head office in Tamworth, West Midlands. The Role The Junior Data Scientist will drive the development and adoption of a data driven decision making culture within the company. The current Software Development team has been building systems and tools for several years, all of which manage the company from an operational point of view. This includes the implementation of bespoke and commonly used tools and platforms such as Power BI, Smartsheet and Dynamics 365 Business Central. The Junior Data Scientist will play a pivotal part in the continued development of these tools alongside the implementation, embedding and deployment of these tools into the day-to-day business processes that drive the company. Key Responsibilities To model datasets and provide data-driven insights to drive business recommendations. To work with internal and external stakeholders to understand and document their requirements. To present and report results of your analysis in accessible and appealing formats, using relevant visualisations. To identify new and innovative ways to analysis and present business data in a way that improves awareness, visibility, acceptance and improvement. To manage and maintain the various reporting platforms used by the company. This includes Power BI, Smartsheet, Dynamics 365 Business Central amongst others. To work with and support the Development team in supporting end users and providing data to their requirements. Skills and Experience At least 1+ year commercial experience working in a similar Junior Data Scientist, Data Engineer or Data Analyst position. Knowledge or experience using software-based data analysis tools such as Excel, Power BI, Reporting Services, SQL, Jet for Business Central . Knowledge of reporting and analysis-based languages such as T-SQL, DAX, Python, R and the principles that they implement. Knowledge of different forms of data visualisation and interaction. The ability to communicate effectively with internal and external stakeholders. Competent in carrying out hypothesis testing & knowledge of statistical methods. Preferably you will be degree qualified in Data or Computer Science or similar or have equivalent experience Please apply via the link or contact for more information. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
03/03/2026
Full time
Junior Data Scientist / Data Analyst £34,000 - £38,000 + benefits Full Time / Permanent Tamworth The Company Akkodis are partnering with a market leading manufacturing company who are looking for a driven Junior Data Scientist / Data Analyst to join their IT development team. This is primarily an office based role based at the head office in Tamworth, West Midlands. The Role The Junior Data Scientist will drive the development and adoption of a data driven decision making culture within the company. The current Software Development team has been building systems and tools for several years, all of which manage the company from an operational point of view. This includes the implementation of bespoke and commonly used tools and platforms such as Power BI, Smartsheet and Dynamics 365 Business Central. The Junior Data Scientist will play a pivotal part in the continued development of these tools alongside the implementation, embedding and deployment of these tools into the day-to-day business processes that drive the company. Key Responsibilities To model datasets and provide data-driven insights to drive business recommendations. To work with internal and external stakeholders to understand and document their requirements. To present and report results of your analysis in accessible and appealing formats, using relevant visualisations. To identify new and innovative ways to analysis and present business data in a way that improves awareness, visibility, acceptance and improvement. To manage and maintain the various reporting platforms used by the company. This includes Power BI, Smartsheet, Dynamics 365 Business Central amongst others. To work with and support the Development team in supporting end users and providing data to their requirements. Skills and Experience At least 1+ year commercial experience working in a similar Junior Data Scientist, Data Engineer or Data Analyst position. Knowledge or experience using software-based data analysis tools such as Excel, Power BI, Reporting Services, SQL, Jet for Business Central . Knowledge of reporting and analysis-based languages such as T-SQL, DAX, Python, R and the principles that they implement. Knowledge of different forms of data visualisation and interaction. The ability to communicate effectively with internal and external stakeholders. Competent in carrying out hypothesis testing & knowledge of statistical methods. Preferably you will be degree qualified in Data or Computer Science or similar or have equivalent experience Please apply via the link or contact for more information. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Junior Data Scientist / Data Analyst 34,000 - 38,000 + benefits Full Time / Permanent Tamworth The Company Akkodis are partnering with a market leading manufacturing company who are looking for a driven Junior Data Scientist / Data Analyst to join their IT development team. This is primarily an office based role based at the head office in Tamworth, West Midlands. The Role The Junior Data Scientist will drive the development and adoption of a data driven decision making culture within the company. The current Software Development team has been building systems and tools for several years, all of which manage the company from an operational point of view. This includes the implementation of bespoke and commonly used tools and platforms such as Power BI, Smartsheet and Dynamics 365 Business Central. The Junior Data Scientist will play a pivotal part in the continued development of these tools alongside the implementation, embedding and deployment of these tools into the day-to-day business processes that drive the company. Key Responsibilities To model datasets and provide data-driven insights to drive business recommendations. To work with internal and external stakeholders to understand and document their requirements. To present and report results of your analysis in accessible and appealing formats, using relevant visualisations. To identify new and innovative ways to analysis and present business data in a way that improves awareness, visibility, acceptance and improvement. To manage and maintain the various reporting platforms used by the company. This includes Power BI, Smartsheet, Dynamics 365 Business Central amongst others. To work with and support the Development team in supporting end users and providing data to their requirements. Skills and Experience At least 1+ year commercial experience working in a similar Junior Data Scientist, Data Engineer or Data Analyst position. Knowledge or experience using software-based data analysis tools such as Excel, Power BI, Reporting Services, SQL, Jet for Business Central . Knowledge of reporting and analysis-based languages such as T-SQL, DAX, Python, R and the principles that they implement. Knowledge of different forms of data visualisation and interaction. The ability to communicate effectively with internal and external stakeholders. Competent in carrying out hypothesis testing & knowledge of statistical methods. Preferably you will be degree qualified in Data or Computer Science or similar or have equivalent experience Please apply via the link or contact (url removed) for more information. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
16/02/2026
Full time
Junior Data Scientist / Data Analyst 34,000 - 38,000 + benefits Full Time / Permanent Tamworth The Company Akkodis are partnering with a market leading manufacturing company who are looking for a driven Junior Data Scientist / Data Analyst to join their IT development team. This is primarily an office based role based at the head office in Tamworth, West Midlands. The Role The Junior Data Scientist will drive the development and adoption of a data driven decision making culture within the company. The current Software Development team has been building systems and tools for several years, all of which manage the company from an operational point of view. This includes the implementation of bespoke and commonly used tools and platforms such as Power BI, Smartsheet and Dynamics 365 Business Central. The Junior Data Scientist will play a pivotal part in the continued development of these tools alongside the implementation, embedding and deployment of these tools into the day-to-day business processes that drive the company. Key Responsibilities To model datasets and provide data-driven insights to drive business recommendations. To work with internal and external stakeholders to understand and document their requirements. To present and report results of your analysis in accessible and appealing formats, using relevant visualisations. To identify new and innovative ways to analysis and present business data in a way that improves awareness, visibility, acceptance and improvement. To manage and maintain the various reporting platforms used by the company. This includes Power BI, Smartsheet, Dynamics 365 Business Central amongst others. To work with and support the Development team in supporting end users and providing data to their requirements. Skills and Experience At least 1+ year commercial experience working in a similar Junior Data Scientist, Data Engineer or Data Analyst position. Knowledge or experience using software-based data analysis tools such as Excel, Power BI, Reporting Services, SQL, Jet for Business Central . Knowledge of reporting and analysis-based languages such as T-SQL, DAX, Python, R and the principles that they implement. Knowledge of different forms of data visualisation and interaction. The ability to communicate effectively with internal and external stakeholders. Competent in carrying out hypothesis testing & knowledge of statistical methods. Preferably you will be degree qualified in Data or Computer Science or similar or have equivalent experience Please apply via the link or contact (url removed) for more information. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Directorate: Strategy & Innovation Contract Type: 18 Months Fixed Term Contract Hours: 36 Salary: 48,003 - 53,172 Location: Colindale Closing Date: Midnight March 9th 2026 About Barnet Council Barnet is a borough with much to be proud of. Our excellent schools, vibrant town centers, vast green spaces and diverse communities all help make it a great place to live and work. As a council we want to build on these strengths as we move into the future. We are growing and developing as an organisation to meet the challenges facing our borough and we are committed to working with partner organisations and residents to make Barnet even better. As an organisation, our staff are committed to Our Values: Learning to Improve, Caring, Inclusive, Collaborative - which drive everything we do. About the role This is an exciting time to join Barnet as we grow our Digital, Data and Technology (DDaT) capabilities and accelerate our digital transformation journey. We're investing in smarter services, better use of data, modern technology, and you'll play a key part in shaping this future. We're looking for a Data Engineer to join our Insight & Intelligence Hub, working with a talented team to help design, build and maintain the data infrastructure that powers our analytics, AI and insight functions. You'll work across the organisation to integrate complex datasets, improve data quality, and create robust data pipelines that enable our analysts and data scientists to deliver highvalue insight for services and residents. This is a handson technical role where you'll work with modern cloud technologies, largescale data systems and cuttingedge tools to support predictive analytics, machine learning initiatives and enterprise reporting. If you're excited by engineering challenge, modern data platforms and solving realworld problems, you'll be a great fit. This is a hybrid role. You will be expected to attend monthly in-person team days in our Colindale office. We also come into the office to meet service stakeholders, work together on collaboration, discovery and user testing sessions and department days. Please click here to download the Job description for this role. About you You're an experienced and adaptable data engineering professional who enjoys creating welldesigned, efficient and reliable data solutions. You're comfortable working with complex systems, experimenting with new tools and collaborating with colleagues across technical and nontechnical teams. You will bring: - Strong handson experience with modern data engineering tools and practices, including ETL/ELT, data warehousing and data modelling. - Expertise in cloud data platforms, ideally Azure services such as Data Factory, Synapse, Databricks, Spark or Snowflake. - Proficiency in Python, SQL and other relevant languages for building pipelines and enabling automation. - Experience building and managing production data services, integrating data from multiple systems, and improving data quality. - Understanding of data governance, security, information management and UK GDPR. - The ability to communicate complex technical concepts clearly for nonspecialist audiences. - A collaborative and proactive approach, with confidence leading projects, supporting partners and driving continuous improvement. If you enjoy solving complex data challenges and playing a leading role in a growing data function, this is an excellent opportunity. In this role, you will: - Develop and maintain the council's Microsoft Azure Data Platform, supporting cloudready, scalable analytics. - Build and optimise data pipelines, APIs and integrations across onpremise, cloud and supplierhosted systems. - Extract, clean, transform and combine data from a wide range of operational systems to create highquality datasets for insight and machine learning. - Work with data scientists to design and maintain pipelines for AI/ML models, including supporting feature engineering, labelling and largescale data flows. - Automate manual data processes to improve speed, reliability and accessibility of insight. - Lead data engineering projects, including working with external suppliers and supporting more junior colleagues. - Implement and maintain data lakehouse architectures, master data management and metadata repositories. - Ensure that data workflows comply with security, privacy and governance standards, including anonymisation where required. - Optimise the performance of code, pipelines and data systems, resolving issues, bugs and outages. - Contribute to the development of data strategy, standards and reusable engineering frameworks across the Hub. - Work with colleagues across ICT, Connected Places and service teams to join up data and support emerging technologies (e.g., IoT, geospatial, AI). - Support the creation of visualisations and reusable analytical products that enhance decisionmaking. You'll be part of a forwardlooking team that values continuous learning, experimentation and innovation, helping Barnet fully unlock the power of its data. What we offer - 31 days annual leave, plus public and bank holidays - Access to the Local Government Pension Scheme, which provides a valuable guaranteed income in your retirement together with security for your dependents - Work-life balance options may include hybrid working, flexitime, job share, home working, part-time - A vast range of lifestyle discounts from major retailers, supermarkets, energy suppliers and more - Broad range of payroll benefits including cycle to work, eye care vouchers, travel and gym membership - Excellent training and development opportunities - Employee well- being training programs including confidential employee assistance How to apply Read the job description and person specification before clicking 'Apply' to commence the online application form. If you would like any further information about the role before applying, please contact James Rapkin, Head of Organisational Insight & Intelligence, Barnet Council is committed to safeguarding and promoting the welfare of children, young people, and vulnerable adults and expects all staff and volunteers to share this commitment. Barnet operates stringent safer recruitment procedures, this may include AI Detection Screening, Biometric ID/Right to Work Checks, Qualification and Registration Checks, Up to 6 years of Employment Data and Insights to Accelerate Screening (Konfir), Up to 5 years of Employment History References, DBS (Disclosure & Barring Service) Checks, Credit Checks and Social Media, Sanctions and Occupational Health Screening. To deliver Barnet Council's commitment to equality of opportunity in the provision of services, all staff are expected to promote equality in the workplace and in the services the Council delivers. As such we value diversity and welcome applications from all backgrounds. Barnet Council embraces all forms of flexible working (including part-time, compressed hours, and hybrid working) and is committed to offering employees a healthy work-life balance. Candidates are encouraged to talk about relevant requirements and preferences at interview. We can't promise to give you exactly what you want, but we do promise not to judge you for asking. Barnet Council is a Disability Confident Committed Employer. We welcome and encourage job applications of all abilities. If you require any reasonable adjustments in the application or interview, please contact the lead contact on this advert. We will make reasonable adjustments to make sure our disabled applicants and those with health conditions are supported throughout our recruitment process. We support the access to work scheme, further details are available at (url removed) All posts with the council are subject to a probationary period of six months, during which time you will be required to demonstrate to the council satisfaction your suitability for the position in which you will be employed. Due to the high number of applications that are received for some posts we may close vacancies before the stated closing date if sufficient number of applications are received. Therefore, please apply as soon as possible. Please ensure you regularly check the email account (including JUNK MAIL folders) that you use to submit your application, as any further communication regarding your application will be sent electronically. Should you not hear from us within four working weeks of the closing date for this post, then regretfully in this instance, you have not been shortlisted.
13/02/2026
Contractor
Directorate: Strategy & Innovation Contract Type: 18 Months Fixed Term Contract Hours: 36 Salary: 48,003 - 53,172 Location: Colindale Closing Date: Midnight March 9th 2026 About Barnet Council Barnet is a borough with much to be proud of. Our excellent schools, vibrant town centers, vast green spaces and diverse communities all help make it a great place to live and work. As a council we want to build on these strengths as we move into the future. We are growing and developing as an organisation to meet the challenges facing our borough and we are committed to working with partner organisations and residents to make Barnet even better. As an organisation, our staff are committed to Our Values: Learning to Improve, Caring, Inclusive, Collaborative - which drive everything we do. About the role This is an exciting time to join Barnet as we grow our Digital, Data and Technology (DDaT) capabilities and accelerate our digital transformation journey. We're investing in smarter services, better use of data, modern technology, and you'll play a key part in shaping this future. We're looking for a Data Engineer to join our Insight & Intelligence Hub, working with a talented team to help design, build and maintain the data infrastructure that powers our analytics, AI and insight functions. You'll work across the organisation to integrate complex datasets, improve data quality, and create robust data pipelines that enable our analysts and data scientists to deliver highvalue insight for services and residents. This is a handson technical role where you'll work with modern cloud technologies, largescale data systems and cuttingedge tools to support predictive analytics, machine learning initiatives and enterprise reporting. If you're excited by engineering challenge, modern data platforms and solving realworld problems, you'll be a great fit. This is a hybrid role. You will be expected to attend monthly in-person team days in our Colindale office. We also come into the office to meet service stakeholders, work together on collaboration, discovery and user testing sessions and department days. Please click here to download the Job description for this role. About you You're an experienced and adaptable data engineering professional who enjoys creating welldesigned, efficient and reliable data solutions. You're comfortable working with complex systems, experimenting with new tools and collaborating with colleagues across technical and nontechnical teams. You will bring: - Strong handson experience with modern data engineering tools and practices, including ETL/ELT, data warehousing and data modelling. - Expertise in cloud data platforms, ideally Azure services such as Data Factory, Synapse, Databricks, Spark or Snowflake. - Proficiency in Python, SQL and other relevant languages for building pipelines and enabling automation. - Experience building and managing production data services, integrating data from multiple systems, and improving data quality. - Understanding of data governance, security, information management and UK GDPR. - The ability to communicate complex technical concepts clearly for nonspecialist audiences. - A collaborative and proactive approach, with confidence leading projects, supporting partners and driving continuous improvement. If you enjoy solving complex data challenges and playing a leading role in a growing data function, this is an excellent opportunity. In this role, you will: - Develop and maintain the council's Microsoft Azure Data Platform, supporting cloudready, scalable analytics. - Build and optimise data pipelines, APIs and integrations across onpremise, cloud and supplierhosted systems. - Extract, clean, transform and combine data from a wide range of operational systems to create highquality datasets for insight and machine learning. - Work with data scientists to design and maintain pipelines for AI/ML models, including supporting feature engineering, labelling and largescale data flows. - Automate manual data processes to improve speed, reliability and accessibility of insight. - Lead data engineering projects, including working with external suppliers and supporting more junior colleagues. - Implement and maintain data lakehouse architectures, master data management and metadata repositories. - Ensure that data workflows comply with security, privacy and governance standards, including anonymisation where required. - Optimise the performance of code, pipelines and data systems, resolving issues, bugs and outages. - Contribute to the development of data strategy, standards and reusable engineering frameworks across the Hub. - Work with colleagues across ICT, Connected Places and service teams to join up data and support emerging technologies (e.g., IoT, geospatial, AI). - Support the creation of visualisations and reusable analytical products that enhance decisionmaking. You'll be part of a forwardlooking team that values continuous learning, experimentation and innovation, helping Barnet fully unlock the power of its data. What we offer - 31 days annual leave, plus public and bank holidays - Access to the Local Government Pension Scheme, which provides a valuable guaranteed income in your retirement together with security for your dependents - Work-life balance options may include hybrid working, flexitime, job share, home working, part-time - A vast range of lifestyle discounts from major retailers, supermarkets, energy suppliers and more - Broad range of payroll benefits including cycle to work, eye care vouchers, travel and gym membership - Excellent training and development opportunities - Employee well- being training programs including confidential employee assistance How to apply Read the job description and person specification before clicking 'Apply' to commence the online application form. If you would like any further information about the role before applying, please contact James Rapkin, Head of Organisational Insight & Intelligence, Barnet Council is committed to safeguarding and promoting the welfare of children, young people, and vulnerable adults and expects all staff and volunteers to share this commitment. Barnet operates stringent safer recruitment procedures, this may include AI Detection Screening, Biometric ID/Right to Work Checks, Qualification and Registration Checks, Up to 6 years of Employment Data and Insights to Accelerate Screening (Konfir), Up to 5 years of Employment History References, DBS (Disclosure & Barring Service) Checks, Credit Checks and Social Media, Sanctions and Occupational Health Screening. To deliver Barnet Council's commitment to equality of opportunity in the provision of services, all staff are expected to promote equality in the workplace and in the services the Council delivers. As such we value diversity and welcome applications from all backgrounds. Barnet Council embraces all forms of flexible working (including part-time, compressed hours, and hybrid working) and is committed to offering employees a healthy work-life balance. Candidates are encouraged to talk about relevant requirements and preferences at interview. We can't promise to give you exactly what you want, but we do promise not to judge you for asking. Barnet Council is a Disability Confident Committed Employer. We welcome and encourage job applications of all abilities. If you require any reasonable adjustments in the application or interview, please contact the lead contact on this advert. We will make reasonable adjustments to make sure our disabled applicants and those with health conditions are supported throughout our recruitment process. We support the access to work scheme, further details are available at (url removed) All posts with the council are subject to a probationary period of six months, during which time you will be required to demonstrate to the council satisfaction your suitability for the position in which you will be employed. Due to the high number of applications that are received for some posts we may close vacancies before the stated closing date if sufficient number of applications are received. Therefore, please apply as soon as possible. Please ensure you regularly check the email account (including JUNK MAIL folders) that you use to submit your application, as any further communication regarding your application will be sent electronically. Should you not hear from us within four working weeks of the closing date for this post, then regretfully in this instance, you have not been shortlisted.
Aurora Energy Research Limited
Oxford, Oxfordshire
Senior AI Engineer Department: Tech - Software Development Employment Type: Permanent - Full Time Location: Oxford, UK Description Based in Oxford, you will work as part of a growing AI software team that is building innovative intelligent solutions. As a Senior AI Engineer, you will architect and develop AI-driven services using large language models, Retrieval Augmented Generation (RAG) pipelines, and multi-agent orchestration (using frameworks like LangGraph) to power key products and internal tools at Aurora. You will turn product ideas into reality by designing robust AI systems from concept to deployment, ensuring they are scalable, reliable, and deliver value for end-users. This role involves working closely with our product managers and stakeholders to integrate AI capabilities into our software platforms. You will be deploying these solutions on cloud infrastructure (including AWS Lambdas for serverless compute) and using modern MLOps practices to monitor and improve them in production. As a senior member of the team, you will also provide technical leadership, driving architectural decisions, mentoring junior engineers, and championing best practices in AI development. You will also act as a key evangelist for AI-assisted engineering to ensure that Aurora leverages AI tooling effectively to achieve engineering excellence. Key Responsibilities Design and develop AI solutions, taking end-to-end ownership of AI features Build and maintain RAG pipelines, agentic orchestration, developing agent-based systems for complex multi-step tasks. Establish robust evaluation methods to measure the quality of our solutions, and its component parts Identify and evaluate new data sources, design robust, scalable data pipelines Deploy and scale AI solutions on AWS cloud infrastructure Work closely with the broader software engineering team and stakeholders (internal and external) to innovate highly effective solutions Mentor and coach junior and mid-level engineers, fostering their growth Monitor the performance and accuracy of deployed AI solutions and iterate to improve them Champion a culture of innovation, continuous learning, and operational excellence Skills, Knowledge and Expertise Required attributes: Extensive experience in AI/ML development, 5+ years building complex software solutions with a focus on machine learning and AI Strong expertise in Python programming. Experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow is expected. Familiarity with Node/TypeScript is a plus Hands-on experience with modern AI/LLM tooling. We are looking for comfort with frameworks and libraries like LangGraph for building LLM applications Proven experience deploying and operating AI solutions on cloud platforms (AWS preferred). You have used cloud services like AWS Lambda (or EC2/ECS) to host models or run AI workloads, and are familiar with data storage options (S3, databases). Experience with CI/CD pipelines for rapid deployment, containerisation (Docker), and automating infrastructure (Terraform/CloudFormation or similar) is required to manage our AI services lifecycle Exceptional analytical and problem-solving skills. You can break down ambiguous problems (like improving an AI model's relevance or figuring out why a pipeline is slow) and iterate to develop effective solutions Demonstrated ability to design and interpret complex quantitative analyses, using prototypes to translating insights into actionable strategies for business and product teams. Experience mentoring junior engineers or data scientists (providing guidance, code reviews, and fostering best practices) is required, as this role will help shape the growth of our AI team Excellent communication and collaboration abilities. You can effectively communicate complex AI concepts to different audiences, whether it's explaining model results and limitations to product stakeholders or discussing technical details with fellow engineers Desirable attributes: A Master's or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.) is a plus Background in the energy sector or similar domains is not required, but familiarity with handling time-series data, simulation models, or financial/market data could be beneficial since our company operates in the energy market space While your focus is AI, any experience building front-ends or full-stack applications can be helpful, as it indicates you understand how AI features need to plug into a product What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle-to-work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in-office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity. To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period. Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.
07/02/2026
Full time
Senior AI Engineer Department: Tech - Software Development Employment Type: Permanent - Full Time Location: Oxford, UK Description Based in Oxford, you will work as part of a growing AI software team that is building innovative intelligent solutions. As a Senior AI Engineer, you will architect and develop AI-driven services using large language models, Retrieval Augmented Generation (RAG) pipelines, and multi-agent orchestration (using frameworks like LangGraph) to power key products and internal tools at Aurora. You will turn product ideas into reality by designing robust AI systems from concept to deployment, ensuring they are scalable, reliable, and deliver value for end-users. This role involves working closely with our product managers and stakeholders to integrate AI capabilities into our software platforms. You will be deploying these solutions on cloud infrastructure (including AWS Lambdas for serverless compute) and using modern MLOps practices to monitor and improve them in production. As a senior member of the team, you will also provide technical leadership, driving architectural decisions, mentoring junior engineers, and championing best practices in AI development. You will also act as a key evangelist for AI-assisted engineering to ensure that Aurora leverages AI tooling effectively to achieve engineering excellence. Key Responsibilities Design and develop AI solutions, taking end-to-end ownership of AI features Build and maintain RAG pipelines, agentic orchestration, developing agent-based systems for complex multi-step tasks. Establish robust evaluation methods to measure the quality of our solutions, and its component parts Identify and evaluate new data sources, design robust, scalable data pipelines Deploy and scale AI solutions on AWS cloud infrastructure Work closely with the broader software engineering team and stakeholders (internal and external) to innovate highly effective solutions Mentor and coach junior and mid-level engineers, fostering their growth Monitor the performance and accuracy of deployed AI solutions and iterate to improve them Champion a culture of innovation, continuous learning, and operational excellence Skills, Knowledge and Expertise Required attributes: Extensive experience in AI/ML development, 5+ years building complex software solutions with a focus on machine learning and AI Strong expertise in Python programming. Experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow is expected. Familiarity with Node/TypeScript is a plus Hands-on experience with modern AI/LLM tooling. We are looking for comfort with frameworks and libraries like LangGraph for building LLM applications Proven experience deploying and operating AI solutions on cloud platforms (AWS preferred). You have used cloud services like AWS Lambda (or EC2/ECS) to host models or run AI workloads, and are familiar with data storage options (S3, databases). Experience with CI/CD pipelines for rapid deployment, containerisation (Docker), and automating infrastructure (Terraform/CloudFormation or similar) is required to manage our AI services lifecycle Exceptional analytical and problem-solving skills. You can break down ambiguous problems (like improving an AI model's relevance or figuring out why a pipeline is slow) and iterate to develop effective solutions Demonstrated ability to design and interpret complex quantitative analyses, using prototypes to translating insights into actionable strategies for business and product teams. Experience mentoring junior engineers or data scientists (providing guidance, code reviews, and fostering best practices) is required, as this role will help shape the growth of our AI team Excellent communication and collaboration abilities. You can effectively communicate complex AI concepts to different audiences, whether it's explaining model results and limitations to product stakeholders or discussing technical details with fellow engineers Desirable attributes: A Master's or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.) is a plus Background in the energy sector or similar domains is not required, but familiarity with handling time-series data, simulation models, or financial/market data could be beneficial since our company operates in the energy market space While your focus is AI, any experience building front-ends or full-stack applications can be helpful, as it indicates you understand how AI features need to plug into a product What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle-to-work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in-office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity. To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period. Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
03/10/2025
Full time
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
02/10/2025
Full time
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
02/10/2025
Full time
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
01/10/2025
Full time
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
Job Title: Data Scientist (Modelling & Insight) Location: Manchester (hybrid working) Role Overview Markerstudy Group are looking for an experienced Data Scientist to join a fast growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. As a Data Scientist, you will use your advanced analytical skills to directly influence insurer panel performance, ensuring our broking arm maintains a competitive edge through data-driven strategies and advanced analytics. Deliver outstanding and actionable customer insights Have responsibility for providing insights and support the building data products that helps shape Markerstudy s strategic roadmaps and customer propositions Support the delivery, maintanence and ongoing support of the Data Insight and Enrichment integration strategy across the group Work collaboratively with other areas to increase overall company performance Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market. As part of your Data Science career you will be expected to further advance a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems and adding demonstrable commercial value. Key Responsibilities: Lead the delivery of high-impact analytics and modelling projects to support strategic decision-making. Proactively identify and deliver innovative, data-led opportunities that drive measurable business impact Act as a subject matter expert in analytics and data science, providing technical guidance. Coach and mentor junior analysts, reviewing code and outputs to ensure quality and consistency. Maintain robust technical documentation and ensure compliance with data governance and regulatory standards. Support cross-functional initiatives such as the Trading Transformation Programme as a technical expert. Collaborate with stakeholders across pricing, marketing, and insurer relations to embed insights into business processes. Comply with all regulatory obligations with regards to customer data, competition law and other relevant guidance/ legislation. Key Skills and Experience: Previous demonstratable Data Science / Analytics Experience ideally within insurance or financial services. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a business context. Advanced SQL and experience with Python and/or R. Strong communication and storytelling skills, with the ability to translate complex data into actionable insights. Experience reviewing the work of junior analysts. Ability to work independently, manage multiple priorities, and proactively share insights. Selfless when it comes to sharing findings, experience and advice. We work as a team not separate individuals! Resilience, can work independently to deliver projects Proactively share insights, results and identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing expertise and fostering a culture of continuous learning and innovation.
01/09/2025
Full time
Job Title: Data Scientist (Modelling & Insight) Location: Manchester (hybrid working) Role Overview Markerstudy Group are looking for an experienced Data Scientist to join a fast growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. As a Data Scientist, you will use your advanced analytical skills to directly influence insurer panel performance, ensuring our broking arm maintains a competitive edge through data-driven strategies and advanced analytics. Deliver outstanding and actionable customer insights Have responsibility for providing insights and support the building data products that helps shape Markerstudy s strategic roadmaps and customer propositions Support the delivery, maintanence and ongoing support of the Data Insight and Enrichment integration strategy across the group Work collaboratively with other areas to increase overall company performance Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market. As part of your Data Science career you will be expected to further advance a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems and adding demonstrable commercial value. Key Responsibilities: Lead the delivery of high-impact analytics and modelling projects to support strategic decision-making. Proactively identify and deliver innovative, data-led opportunities that drive measurable business impact Act as a subject matter expert in analytics and data science, providing technical guidance. Coach and mentor junior analysts, reviewing code and outputs to ensure quality and consistency. Maintain robust technical documentation and ensure compliance with data governance and regulatory standards. Support cross-functional initiatives such as the Trading Transformation Programme as a technical expert. Collaborate with stakeholders across pricing, marketing, and insurer relations to embed insights into business processes. Comply with all regulatory obligations with regards to customer data, competition law and other relevant guidance/ legislation. Key Skills and Experience: Previous demonstratable Data Science / Analytics Experience ideally within insurance or financial services. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a business context. Advanced SQL and experience with Python and/or R. Strong communication and storytelling skills, with the ability to translate complex data into actionable insights. Experience reviewing the work of junior analysts. Ability to work independently, manage multiple priorities, and proactively share insights. Selfless when it comes to sharing findings, experience and advice. We work as a team not separate individuals! Resilience, can work independently to deliver projects Proactively share insights, results and identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing expertise and fostering a culture of continuous learning and innovation.
The Role: Senior Full Stack Developer The Team: Technology Hiring Manager: Director of Technology Hours: Full time 37.5 hours per week Location: Nottingham - Hybrid working Medichecks launched the UK's first direct-to-consumer blood testing company in the UK and created a market where there was none. As well as the continued growth of our B2C business we now see considerable opportunity to grow in the B2B and B2B2C space through our technology platform, Plasma. Our vision is to be part of everyone's journey to better health. At Medichecks we're building a healthcare platform for the future. We're a team of medics, designers, engineers and communicators who are intent on bringing our vision to life. We'd like to hear from people who want to use their skills and knowledge to improve peoples' lives and help us create real change in the way that blood testing and insights can be delivered. Purpose of Role To be part of the key team building software and devops solutions to facilitate the growth of Medicheck's business. Bring experience and knowledge in the tools and technologies used in Medicheck's tech stack to the Medichecks team and help the growth of the team using your skills and knowledge. Our Technology Team Our team have come to us from a range of backgrounds and places, from start-ups and agencies to online banks, we're looking for people that enjoy learning new things and are motivated to build new software, solve problems and do great work. We are growing fast. To help with our growth we are structuring ourselves into chapters' of expertise and working in small interdisciplinary teams on individual projects. With the freedom to learn and shift specialisms over time. Our feature teams are cross-functional. You'll be collaborating with product owners, doctors, marketers, web engineers, data scientists, business analysts, and more! Together you'll deliver feature updates that provide value and features to our customers and partners. Our Technology Stack You'll be working on greenfield projects, building our systems using the following tools and technologies: Golang for our applications and microservices Kubernetes and Docker for orchestration and containerisation AWS for our infrastructure Vue.js for our presentation layers. We know you will be keen to stay on top of new technology and our personal development approach will support you with this. Key Challenges Delivering outstanding solutions whilst maintaining strict patient confidentiality. Deliver critical results in a clear and informed manner. Innovating to make people's lives better. Job Tasks and Responsibilities This is an exciting time to join us, as we re-imagine how we work and deliver technology. You will enjoy the freedom to learn, working with some of the latest web technologies while building mission-critical applications. You must have a passion for writing solid well-structured software using modern development practices. You'll be working with the team to refine the process and technical direction, and mentor junior members of the team through the implementation and ensure best practices are maintained, solving complex problems and programming in a variety of languages. You will work on projects, ranging from maintaining our existing products to building new solutions using a variety of technologies to deliver and support web-based, microservice driven applications. Key Skills and Knowledge You will have strong experience working on the full stack of a technology product. You care about customer outcomes and are product focused. You want to make data-informed decisions. You're comfortable working in a team that deals with ambiguity. You're interested in distributed systems and writing resilient software. You will have a passion for; and understand the importance of, software patterns. You will have experience within our technical stack (Go, Vue.js, AWS, Terraform, postgreSQL.) *How we work We have adopted a flexible hybrid approach to working in both the office and at home, having seen the benefits of both for everyone during the last year. You will predominantly work from home, but sometimes we will get together to collaborate, or for 121s (minimum 1 day/month in Nottingham office). We offer flexible working around our core business hours and trust you to work enough hours to do your job well, at times that suit you and your team. Medichecks people, perks and culture We are committed to making Medichecks a great place to work and have shaped our people strategy around our colleagues' feedback. We have a great range of perks including buying/selling holidays, free stuff and discounts, access to health services and the opportunity to give back to the community.
14/08/2023
Full time
The Role: Senior Full Stack Developer The Team: Technology Hiring Manager: Director of Technology Hours: Full time 37.5 hours per week Location: Nottingham - Hybrid working Medichecks launched the UK's first direct-to-consumer blood testing company in the UK and created a market where there was none. As well as the continued growth of our B2C business we now see considerable opportunity to grow in the B2B and B2B2C space through our technology platform, Plasma. Our vision is to be part of everyone's journey to better health. At Medichecks we're building a healthcare platform for the future. We're a team of medics, designers, engineers and communicators who are intent on bringing our vision to life. We'd like to hear from people who want to use their skills and knowledge to improve peoples' lives and help us create real change in the way that blood testing and insights can be delivered. Purpose of Role To be part of the key team building software and devops solutions to facilitate the growth of Medicheck's business. Bring experience and knowledge in the tools and technologies used in Medicheck's tech stack to the Medichecks team and help the growth of the team using your skills and knowledge. Our Technology Team Our team have come to us from a range of backgrounds and places, from start-ups and agencies to online banks, we're looking for people that enjoy learning new things and are motivated to build new software, solve problems and do great work. We are growing fast. To help with our growth we are structuring ourselves into chapters' of expertise and working in small interdisciplinary teams on individual projects. With the freedom to learn and shift specialisms over time. Our feature teams are cross-functional. You'll be collaborating with product owners, doctors, marketers, web engineers, data scientists, business analysts, and more! Together you'll deliver feature updates that provide value and features to our customers and partners. Our Technology Stack You'll be working on greenfield projects, building our systems using the following tools and technologies: Golang for our applications and microservices Kubernetes and Docker for orchestration and containerisation AWS for our infrastructure Vue.js for our presentation layers. We know you will be keen to stay on top of new technology and our personal development approach will support you with this. Key Challenges Delivering outstanding solutions whilst maintaining strict patient confidentiality. Deliver critical results in a clear and informed manner. Innovating to make people's lives better. Job Tasks and Responsibilities This is an exciting time to join us, as we re-imagine how we work and deliver technology. You will enjoy the freedom to learn, working with some of the latest web technologies while building mission-critical applications. You must have a passion for writing solid well-structured software using modern development practices. You'll be working with the team to refine the process and technical direction, and mentor junior members of the team through the implementation and ensure best practices are maintained, solving complex problems and programming in a variety of languages. You will work on projects, ranging from maintaining our existing products to building new solutions using a variety of technologies to deliver and support web-based, microservice driven applications. Key Skills and Knowledge You will have strong experience working on the full stack of a technology product. You care about customer outcomes and are product focused. You want to make data-informed decisions. You're comfortable working in a team that deals with ambiguity. You're interested in distributed systems and writing resilient software. You will have a passion for; and understand the importance of, software patterns. You will have experience within our technical stack (Go, Vue.js, AWS, Terraform, postgreSQL.) *How we work We have adopted a flexible hybrid approach to working in both the office and at home, having seen the benefits of both for everyone during the last year. You will predominantly work from home, but sometimes we will get together to collaborate, or for 121s (minimum 1 day/month in Nottingham office). We offer flexible working around our core business hours and trust you to work enough hours to do your job well, at times that suit you and your team. Medichecks people, perks and culture We are committed to making Medichecks a great place to work and have shaped our people strategy around our colleagues' feedback. We have a great range of perks including buying/selling holidays, free stuff and discounts, access to health services and the opportunity to give back to the community.
Principal Data Analyst Rate: Up to £550 inside IR35 Location: London (2 days a week onsite) Duration: 6 months (initially) The Role My client is looking for a Principal Data Analyst that will be reporting into the Product Portfolio Analytics Team. Product Portfolio Analytics team is looking for a principal data analyst to move it forward in its use of data within day-to-day decision making and long-term strategy. The role will help set up the Portfolio Analytics team and define the team's strategic direction. This role will be working on cross-product strategic projects and cutting-edge technologies, surrounded by like-minded people. It will deliver in-depth data analysis and key recommendations to maximise the value delivered throughout the digital product portfolio. Key Knowledge Demonstrable deep experience in relevant analysis, data, testing and measurement methodologies and industry standards. SQL for extracting and manipulating data Tableau/Data Vis - Analysing core data and building interactive visualisations Maintain high standards of presentation, including the development of new or imaginative ways of using or communicating data and insights. Ability to run in depth analysis and provide insights in a coherent narrative Comfortable working alongside cross-functional teams interacting with Product Managers, Engineers, Data Scientists, and Analysts Ability to adopt a leading position on specific projects and mentor more junior team members Some experience coding in R or Python Previous work on user segmentation for digital products Previous work on the definition of key success metrics at business level is a plus A good understanding of on-demand audio media products, with a knowledge of key competitors An appetite for learning and develop soft and technical skills If this role is of interest to you please call me or email me at (see below)
24/09/2022
Contractor
Principal Data Analyst Rate: Up to £550 inside IR35 Location: London (2 days a week onsite) Duration: 6 months (initially) The Role My client is looking for a Principal Data Analyst that will be reporting into the Product Portfolio Analytics Team. Product Portfolio Analytics team is looking for a principal data analyst to move it forward in its use of data within day-to-day decision making and long-term strategy. The role will help set up the Portfolio Analytics team and define the team's strategic direction. This role will be working on cross-product strategic projects and cutting-edge technologies, surrounded by like-minded people. It will deliver in-depth data analysis and key recommendations to maximise the value delivered throughout the digital product portfolio. Key Knowledge Demonstrable deep experience in relevant analysis, data, testing and measurement methodologies and industry standards. SQL for extracting and manipulating data Tableau/Data Vis - Analysing core data and building interactive visualisations Maintain high standards of presentation, including the development of new or imaginative ways of using or communicating data and insights. Ability to run in depth analysis and provide insights in a coherent narrative Comfortable working alongside cross-functional teams interacting with Product Managers, Engineers, Data Scientists, and Analysts Ability to adopt a leading position on specific projects and mentor more junior team members Some experience coding in R or Python Previous work on user segmentation for digital products Previous work on the definition of key success metrics at business level is a plus A good understanding of on-demand audio media products, with a knowledge of key competitors An appetite for learning and develop soft and technical skills If this role is of interest to you please call me or email me at (see below)
Why join frog? frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. We're inventing the future of customer experiences by delivering market-defining business models, products, services, brand engagements and communications. frogs prize humour, positivity, and community just as highly as performance and outcomes. Our culture is open, flexible, inclusive, and engaging. Working at frog means being empowered to meet the moment, and Make Your Mark on every project, in your studio, your community-and the world at large. The role We are growing our team and seek a Senior Product Designer with a passion to create compelling digital products and services that are fit for purpose and a joy to use. We are looking for an individual, who wants to be part of a collective - to make their mark enabling society and impacting frog's Public Sector clients. frog Impact focusses upon helping communities and solving society's biggest problems - by partnering with Public Sector organisations. Like all 'frogs', we advance the human experience through the power of design. We bring a combination of multi-domain experience, entrepreneurial culture, and hands of making to realise transformational change. Our ambition is to be the leading team that transforms the Public Sector through design. What you'll do As a Product Designer you'll: • Play a leading hands-on role in the delivery of complex digital product and service design projects; typically working alongside, or within our client's multi-disciplinary teams to design, prototype and build cutting-edge propositions and products. • Be a leading voice in facilitating proof of concept experiments and structuring design sprints. • Hold a purposeful sense of design responsibility and are a proponent of 'test and learn' approaches. • Document solutions to establish design language systems that influence long-lasting change. • Be a natural collaborator, keen to share knowhow with peers, build client relationships and identify business opportunities. You will • Lead user-centred design approaches across all stages of innovation and realisation projects. • Orchestrate and lead co-creation workshops with clients, partners and end-users as part of new product and service creation. Ideate to translate user needs, organisational requirements and societal trends into effective digital solutions, delivered at scale • Establish and articulate 'North Star' visions, UX concepts, foundational expressions - through to the detailed design of content layouts, UI components, assets and elements that address specific user stories and functional requirements. • Articulate and communicate concepts and solutions through impactful storytelling, visualisations, prototyping and formalised UX design documentation. • Engage and embed flexibly within multi-disciplinary client teams that may include other designers, program management, strategists, and technologists. • Manage the design process, drive decisions, track issues, and assist in estimating resource needs and schedules. • Identify new opportunities, respond to RFPs and help shape new programs. • Nurture and mentor junior talent. • Share knowledge, transversally pollinate new learnings, and evangelise best practices across internal and client teams. What you'll bring A good fit for this role will bring many of the skills, experience, and attributes below: • Experience in building digital products, digital transformation, or customer experience design; preferably within a product innovation, enterprise software, government/NGO, design or strategy consulting environment. • Breadth of experience across designing for mobile and web user-focused applications, as well as denser, information-rich interfaces. • Proficiency with design and prototyping tools such Adobe CC, Figma, InVision etc, paired with deep analytical skills and knowledge of supporting tools (Excel, online survey tools, etc). • Adept craft skills in sketching and visualising ideas during both early and late stages of development. • A focus on process and proof. Testing and iterating must be an inherent part of your approach • Information architecture, wire-framing, prototyping, personas and storytelling and ethnographic research experience would be ideal. • Experience of realising products by working closely with developers and optimising the performance of that product over time, again through testing and iteration. • Experience in conducting UX heuristic reviews and experience benchmarking. • Ability to structure, componentise and populate Design Language Systems. • Self-motivated with tenacity to build and manage long-term client relationships, sometimes over extended timeframes, with sensitivity to navigate client's organisational structures and networks. • Excellent presentation, storytelling and facilitation skills to engage and collaborate with clients, particularly in a workshop setting. Ability to create and communicate an elevated design point of view regarding insights, latest trends, topics and technologies. • Degree in Digital Product Design or a related design or behavioural science discipline. • Self-motivated with tenacity to build and manage long-term client relationships, sometimes over extended timeframes, with sensitivity to navigate client's organisational structures and networks. Don't worry about being a 100% fit. If this sounds like an interesting opportunity to you, and you think it could work, let's chat. Equal Opportunities at frog frog and Capgemini Invent are Equal Opportunity Employers encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. frog is a global business with teams working from every corner of the world. To help us process your application, please ensure that your application documents (CV, cover letter, portfolio, etc.) are all in English. Learning and development There's an endless amount to learn, and an endless number of ways to do so. So, you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all of our teams. Work/Life Harmony We understand that everyone has varied lives and we want you to have a great work-life balance. So, where possible, our Work Life Harmony policy will help you to work flexibly and juggle your work and home life. CSR We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for an 8th year. When you join Capgemini, you'll join a team that does the right thing. Since June 2021, frog is part of Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 270,000 team members in nearly 50 countries. With its strong 50 year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fuelled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of €16 billion. Make Your Mark
24/09/2022
Full time
Why join frog? frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. We're inventing the future of customer experiences by delivering market-defining business models, products, services, brand engagements and communications. frogs prize humour, positivity, and community just as highly as performance and outcomes. Our culture is open, flexible, inclusive, and engaging. Working at frog means being empowered to meet the moment, and Make Your Mark on every project, in your studio, your community-and the world at large. The role We are growing our team and seek a Senior Product Designer with a passion to create compelling digital products and services that are fit for purpose and a joy to use. We are looking for an individual, who wants to be part of a collective - to make their mark enabling society and impacting frog's Public Sector clients. frog Impact focusses upon helping communities and solving society's biggest problems - by partnering with Public Sector organisations. Like all 'frogs', we advance the human experience through the power of design. We bring a combination of multi-domain experience, entrepreneurial culture, and hands of making to realise transformational change. Our ambition is to be the leading team that transforms the Public Sector through design. What you'll do As a Product Designer you'll: • Play a leading hands-on role in the delivery of complex digital product and service design projects; typically working alongside, or within our client's multi-disciplinary teams to design, prototype and build cutting-edge propositions and products. • Be a leading voice in facilitating proof of concept experiments and structuring design sprints. • Hold a purposeful sense of design responsibility and are a proponent of 'test and learn' approaches. • Document solutions to establish design language systems that influence long-lasting change. • Be a natural collaborator, keen to share knowhow with peers, build client relationships and identify business opportunities. You will • Lead user-centred design approaches across all stages of innovation and realisation projects. • Orchestrate and lead co-creation workshops with clients, partners and end-users as part of new product and service creation. Ideate to translate user needs, organisational requirements and societal trends into effective digital solutions, delivered at scale • Establish and articulate 'North Star' visions, UX concepts, foundational expressions - through to the detailed design of content layouts, UI components, assets and elements that address specific user stories and functional requirements. • Articulate and communicate concepts and solutions through impactful storytelling, visualisations, prototyping and formalised UX design documentation. • Engage and embed flexibly within multi-disciplinary client teams that may include other designers, program management, strategists, and technologists. • Manage the design process, drive decisions, track issues, and assist in estimating resource needs and schedules. • Identify new opportunities, respond to RFPs and help shape new programs. • Nurture and mentor junior talent. • Share knowledge, transversally pollinate new learnings, and evangelise best practices across internal and client teams. What you'll bring A good fit for this role will bring many of the skills, experience, and attributes below: • Experience in building digital products, digital transformation, or customer experience design; preferably within a product innovation, enterprise software, government/NGO, design or strategy consulting environment. • Breadth of experience across designing for mobile and web user-focused applications, as well as denser, information-rich interfaces. • Proficiency with design and prototyping tools such Adobe CC, Figma, InVision etc, paired with deep analytical skills and knowledge of supporting tools (Excel, online survey tools, etc). • Adept craft skills in sketching and visualising ideas during both early and late stages of development. • A focus on process and proof. Testing and iterating must be an inherent part of your approach • Information architecture, wire-framing, prototyping, personas and storytelling and ethnographic research experience would be ideal. • Experience of realising products by working closely with developers and optimising the performance of that product over time, again through testing and iteration. • Experience in conducting UX heuristic reviews and experience benchmarking. • Ability to structure, componentise and populate Design Language Systems. • Self-motivated with tenacity to build and manage long-term client relationships, sometimes over extended timeframes, with sensitivity to navigate client's organisational structures and networks. • Excellent presentation, storytelling and facilitation skills to engage and collaborate with clients, particularly in a workshop setting. Ability to create and communicate an elevated design point of view regarding insights, latest trends, topics and technologies. • Degree in Digital Product Design or a related design or behavioural science discipline. • Self-motivated with tenacity to build and manage long-term client relationships, sometimes over extended timeframes, with sensitivity to navigate client's organisational structures and networks. Don't worry about being a 100% fit. If this sounds like an interesting opportunity to you, and you think it could work, let's chat. Equal Opportunities at frog frog and Capgemini Invent are Equal Opportunity Employers encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. frog is a global business with teams working from every corner of the world. To help us process your application, please ensure that your application documents (CV, cover letter, portfolio, etc.) are all in English. Learning and development There's an endless amount to learn, and an endless number of ways to do so. So, you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all of our teams. Work/Life Harmony We understand that everyone has varied lives and we want you to have a great work-life balance. So, where possible, our Work Life Harmony policy will help you to work flexibly and juggle your work and home life. CSR We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for an 8th year. When you join Capgemini, you'll join a team that does the right thing. Since June 2021, frog is part of Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 270,000 team members in nearly 50 countries. With its strong 50 year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fuelled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of €16 billion. Make Your Mark
Site Name: UK - Hertfordshire - Stevenage, USA - Connecticut - Hartford, USA - Delaware - Dover, USA - Maryland - Rockville, USA - Massachusetts - Cambridge, USA - Massachusetts - Waltham, USA - New Jersey - Trenton, USA - Pennsylvania - Upper Providence Posted Date: Jun 6 2022 The mission of the Data Science and Data Engineering (DSDE) organization within GSK Pharmaceuticals R&D is to get the right data, to the right people, at the right time. TheData Framework and Opsorganization ensures we can do this efficiently, reliably, transparently, and at scale through the creation of a leading-edge, cloud-native data services framework. We focus heavily on developer experience, on strong, semantic abstractions for the data ecosystem, on professional operations and aggressive automation, and on transparency of operations and cost. Achieving delivery of the right data to the right people at the right time needs design and implementation of data flows and data products which leverage internal and external data assets and tools to drive discovery and development is a key objective for the Data Science and Data Engineering (DSDE) team within GSK's Pharmaceutical R&D organization. There are five key drivers for this approach, which are closely aligned with GSK's corporate priorities of Innovation, Performance and Trust: Automation of end-to-end data flows :Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in Enabling governance by design of external and internal data :with engineered practical solutions for controlled use and monitoring Innovative disease-specific and domain-expert specific data products : to enable computational scientists and their research unit collaborators to get faster to key insights leading to faster biopharmaceutical development cycles. Supporting e2ecode traceability and data provenance :Increasing assurance of data integrity through automation, integration. Improving engineering efficiency :Extensible, reusable, scalable,updateable,maintainable, virtualized traceable data and code would be driven by data engineering innovation and better resource utilization. We are looking for experienced Senior DevOps Engineers to join our growing Data Ops team. As a Senior Dev Ops Engineer is a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardizing and templatizingbiomedical and scientificdata engineering, with demonstrable experience across the following areas: Deliver declarative components for common data ingestion, transformation and publishing techniques Define and implement data governance aligned to modern standards Establish scalable, automated processes for data engineering teams across GSK Thought leader and partner with wider DSDE data engineering teams to advise on implementation and best practices Cloud Infrastructure-as-Code Define Service and Flow orchestration Data as a configurable resource(including configuration-driven access to scientific data modelling tools) Observability (monitoring, alerting, logging, tracing, etc.) Enable quality engineering through KPIs and code coverage and quality checks Standardise GitOps/declarative software development lifecycle Audit as a service Senior DevOpsEngineers take full ownership of delivering high-performing, high-impactbiomedical and scientificdataopsproducts and services, froma description of apattern thatcustomer Data Engineers are trying touseall the way through tofinal delivery (and ongoing monitoring and operations)of a templated project and all associated automation. They arestandard-bearers for software engineering and quality coding practices within theteam andareexpected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project.Theydevise useful metrics for ensuring their services are meeting customer demand and having animpact anditerate to deliver and improve on those metrics in an agile fashion. Successful Senior DevOpsEngineers are developing expertise with the types of data and types of tools that are leveraged in the biomedical and scientific data engineering space, andhas the following skills and experience(withsignificant depth in one or more of these areas): Demonstrable experience deploying robust modularised/container-based solutions to production (ideally GCP) and leveraging the Cloud NativeComputing Foundation (CNCF) ecosystem Significant depth in DevOps principles and tools (e.g.GitOps, Jenkins,CircleCI, Azure DevOps, etc.), and how to integrate these tools with other productivity tools (e.g. Jira, Slack, Microsoft Teams) to build a comprehensive workflow Programming in Python. Scala orGo Embedding agile software engineering (task/issue management, testing, documentation, software development lifecycle, source control, etc.) Leveraging major cloud providers, both via Kubernetesorvia vendor-specific services Authentication and Authorization flows and associated technologies (e.g.OAuth2 + JWT) Common distributed data tools (e.g.Spark, Hive) The DSDE team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Masters in Computer Science with a focus in Data Engineering, DataOps, DevOps, MLOps, Software Engineering, etc, plus 5 years job experience (or PhD plus 3 years job experience) Experience with DevOps tools and concepts (e.g. Jira, GitLabs / Jenkins / CircleCI / Azure DevOps /etc.)Excellent with common distributed data tools in a production setting (Spark, Kafka, etc) Experience with specialized data architecture (e.g. optimizing physical layout for access patterns, including bloom filters, optimizing against self-describing formats such as ORC or Parquet, etc.) Experience with search / indexing systems (e.g. Elasticsearch) Expertise with agile development in Python, Scala, Go, and/or C++ Experience building reusable components on top of the CNCF ecosystem including Kubernetes Metrics-first mindset Experience mentoring junior engineers into deep technical expertise Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience with agile software development Experience with building and designing a DevOps-first way of working Experience with building reusable components on top of the CNCF ecosystem including Kubernetes (or similar ecosystem ) LI-GSK Why GSK? Our values and expectationsare at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high-quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and wellbeing Building strong relationships and collaboration, honest and open conversations. Budgeting and cost consciousness As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary..... click apply for full job details
23/09/2022
Full time
Site Name: UK - Hertfordshire - Stevenage, USA - Connecticut - Hartford, USA - Delaware - Dover, USA - Maryland - Rockville, USA - Massachusetts - Cambridge, USA - Massachusetts - Waltham, USA - New Jersey - Trenton, USA - Pennsylvania - Upper Providence Posted Date: Jun 6 2022 The mission of the Data Science and Data Engineering (DSDE) organization within GSK Pharmaceuticals R&D is to get the right data, to the right people, at the right time. TheData Framework and Opsorganization ensures we can do this efficiently, reliably, transparently, and at scale through the creation of a leading-edge, cloud-native data services framework. We focus heavily on developer experience, on strong, semantic abstractions for the data ecosystem, on professional operations and aggressive automation, and on transparency of operations and cost. Achieving delivery of the right data to the right people at the right time needs design and implementation of data flows and data products which leverage internal and external data assets and tools to drive discovery and development is a key objective for the Data Science and Data Engineering (DSDE) team within GSK's Pharmaceutical R&D organization. There are five key drivers for this approach, which are closely aligned with GSK's corporate priorities of Innovation, Performance and Trust: Automation of end-to-end data flows :Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in Enabling governance by design of external and internal data :with engineered practical solutions for controlled use and monitoring Innovative disease-specific and domain-expert specific data products : to enable computational scientists and their research unit collaborators to get faster to key insights leading to faster biopharmaceutical development cycles. Supporting e2ecode traceability and data provenance :Increasing assurance of data integrity through automation, integration. Improving engineering efficiency :Extensible, reusable, scalable,updateable,maintainable, virtualized traceable data and code would be driven by data engineering innovation and better resource utilization. We are looking for experienced Senior DevOps Engineers to join our growing Data Ops team. As a Senior Dev Ops Engineer is a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardizing and templatizingbiomedical and scientificdata engineering, with demonstrable experience across the following areas: Deliver declarative components for common data ingestion, transformation and publishing techniques Define and implement data governance aligned to modern standards Establish scalable, automated processes for data engineering teams across GSK Thought leader and partner with wider DSDE data engineering teams to advise on implementation and best practices Cloud Infrastructure-as-Code Define Service and Flow orchestration Data as a configurable resource(including configuration-driven access to scientific data modelling tools) Observability (monitoring, alerting, logging, tracing, etc.) Enable quality engineering through KPIs and code coverage and quality checks Standardise GitOps/declarative software development lifecycle Audit as a service Senior DevOpsEngineers take full ownership of delivering high-performing, high-impactbiomedical and scientificdataopsproducts and services, froma description of apattern thatcustomer Data Engineers are trying touseall the way through tofinal delivery (and ongoing monitoring and operations)of a templated project and all associated automation. They arestandard-bearers for software engineering and quality coding practices within theteam andareexpected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project.Theydevise useful metrics for ensuring their services are meeting customer demand and having animpact anditerate to deliver and improve on those metrics in an agile fashion. Successful Senior DevOpsEngineers are developing expertise with the types of data and types of tools that are leveraged in the biomedical and scientific data engineering space, andhas the following skills and experience(withsignificant depth in one or more of these areas): Demonstrable experience deploying robust modularised/container-based solutions to production (ideally GCP) and leveraging the Cloud NativeComputing Foundation (CNCF) ecosystem Significant depth in DevOps principles and tools (e.g.GitOps, Jenkins,CircleCI, Azure DevOps, etc.), and how to integrate these tools with other productivity tools (e.g. Jira, Slack, Microsoft Teams) to build a comprehensive workflow Programming in Python. Scala orGo Embedding agile software engineering (task/issue management, testing, documentation, software development lifecycle, source control, etc.) Leveraging major cloud providers, both via Kubernetesorvia vendor-specific services Authentication and Authorization flows and associated technologies (e.g.OAuth2 + JWT) Common distributed data tools (e.g.Spark, Hive) The DSDE team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Masters in Computer Science with a focus in Data Engineering, DataOps, DevOps, MLOps, Software Engineering, etc, plus 5 years job experience (or PhD plus 3 years job experience) Experience with DevOps tools and concepts (e.g. Jira, GitLabs / Jenkins / CircleCI / Azure DevOps /etc.)Excellent with common distributed data tools in a production setting (Spark, Kafka, etc) Experience with specialized data architecture (e.g. optimizing physical layout for access patterns, including bloom filters, optimizing against self-describing formats such as ORC or Parquet, etc.) Experience with search / indexing systems (e.g. Elasticsearch) Expertise with agile development in Python, Scala, Go, and/or C++ Experience building reusable components on top of the CNCF ecosystem including Kubernetes Metrics-first mindset Experience mentoring junior engineers into deep technical expertise Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience with agile software development Experience with building and designing a DevOps-first way of working Experience with building reusable components on top of the CNCF ecosystem including Kubernetes (or similar ecosystem ) LI-GSK Why GSK? Our values and expectationsare at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high-quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and wellbeing Building strong relationships and collaboration, honest and open conversations. Budgeting and cost consciousness As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary..... click apply for full job details
Site Name: UK - Hertfordshire - Stevenage, USA - Connecticut - Hartford, USA - Delaware - Dover, USA - Maryland - Rockville, USA - Massachusetts - Waltham, USA - Pennsylvania - Upper Providence, Warren NJ Posted Date: Aug The mission of the Data Science and Data Engineering (DSDE) organization within GSK Pharmaceuticals R&D is to get the right data, to the right people, at the right time. TheData Framework and Opsorganization ensures we can do this efficiently, reliably, transparently, and at scale through the creation of a leading-edge, cloud-native data services framework. We focus heavily on developer experience, on strong, semantic abstractions for the data ecosystem, on professional operations and aggressive automation, and on transparency of operations and cost. Achieving delivery of the right data to the right people at the right time needs design and implementation of data flows and data products which leverage internal and external data assets and tools to drive discovery and development is a key objective for the Data Science and Data Engineering (DS D E) team within GSK's Pharmaceutical R&D organisation . There are five key drivers for this approach, which are closely aligned with GSK's corporate priorities of Innovation, Performance and Trust: Automation of end-to-end data flows: Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in Enabling governance by design of external and internal data: with engineered practical solutions for controlled use and monitoring Innovative disease-specific and domain-expert specific data products : to enable computational scientists and their research unit collaborators to get faster to key insights leading to faster biopharmaceutical development cycles. Supporting e2 e code traceability and data provenance: Increasing assurance of data integrity through automation, integration Improving engineering efficiency: Extensible, reusable, scalable,updateable,maintainable, virtualized traceable data and code would b e driven by data engineering innovation and better resource utilization. We are looking for an experienced Sr. Data Ops Engineer to join our growing Data Ops team. As a Sr. Data Ops Engineer is a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardizing and templatizingbiomedical and scientificdata engineering, with demonstrable experience across the following areas : Deliver declarative components for common data ingestion, transformation and publishing techniques Define and implement data governance aligned to modern standards Establish scalable, automated processes for data engineering team s across GSK Thought leader and partner with wider DSDE data engineering teams to advise on implementation and best practices Cloud Infrastructure-as-Code D efine Service and Flow orchestration Data as a configurable resource(including configuration-driven access to scientific data modelling tools) Ob servabilty (monitoring, alerting, logging, tracing, ...) Enable quality engineering through KPIs and c ode coverage and quality checks Standardise GitOps /declarative software development lifecycle Audit as a service Sr. DataOpsEngineerstake full ownership of delivering high-performing, high-impactbiomedical and scientificdataopsproducts and services, froma description of apattern thatcustomer Data Engineers are trying touseall the way through tofinal delivery (and ongoing monitoring and operations)of a templated project and all associated automation. They arestandard-bearers for software engineering and quality coding practices within theteam andareexpected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project.Theydevise useful metrics for ensuring their services are meeting customer demand and having animpact anditerate to deliver and improve on those metrics in an agile fashion. A successfulSr.DataOpsEngineeris developing expertise with the types of data and types of tools that are leveraged in the biomedical and scientific data engineering space, andhas the following skills and experience(withsignificant depth in one or more of these areas): Demonstrable experience deploying robust modularised/ container based solutions to production (ideally GCP) and leveraging the Cloud NativeComputing Foundation (CNCF) ecosystem Significant depth in DevOps principles and tools ( e.g. GitOps , Jenkins, CircleCI , Azure DevOps, ...), and how to integrate these tools with other productivity tools (e.g. Jira, Slack, Microsoft Teams) to build a comprehensive workflow P rogramming in Python. Scala or Go Embedding agile s oftware engineering ( task/issue management, testing, documentation, software development lifecycle, source control, ) Leveraging major cloud providers, both via Kubernetes or via vendor-specific services Authentication and Authorization flows and associated technologies ( e.g. OAuth2 + JWT) Common distributed data tools ( e.g. Spark, Hive) The DSDE team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Why you? Basic Qualifications: Bachelors degree in Computer Science with a focus in Data Engineering, DataOps, DevOps, MLOps, Software Engineering, etc, plus 7 years job experience or Masters degree with 5 Years of experience (or PhD plus 3 years job experience) Deep experience with DevOps tools and concepts ( e.g. Jira, GitLabs / Jenkins / CircleCI / Azure DevOps / ...) Excellent with common distributed data tools in a production setting (Spark, Kafka, etc) Experience with specialized data architecture ( e.g. optimizing physical layout for access patterns, including bloom filters, optimizing against self-describing formats such as ORC or Parquet, etc) Experience with search / indexing systems ( e.g. Elasticsearch) Deep expertise with agile development in Python, Scala, Go, and/or C++ Experience building reusable components on top of the CNCF ecosystem including Kubernetes Metrics-first mindset Experience mentoring junior engineers into deep technical expertise Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience with agile software development Experience building and designing a DevOps-first way of working Demonstrated experience building reusable components on top of the CNCF ecosystem including Kubernetes (or similar ecosystem ) LI-GSK Why GSK? Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high-quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and wellbeing Building strong relationships and collaboration, honest and open conversations. Budgeting and cost consciousness As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary..... click apply for full job details
23/09/2022
Full time
Site Name: UK - Hertfordshire - Stevenage, USA - Connecticut - Hartford, USA - Delaware - Dover, USA - Maryland - Rockville, USA - Massachusetts - Waltham, USA - Pennsylvania - Upper Providence, Warren NJ Posted Date: Aug The mission of the Data Science and Data Engineering (DSDE) organization within GSK Pharmaceuticals R&D is to get the right data, to the right people, at the right time. TheData Framework and Opsorganization ensures we can do this efficiently, reliably, transparently, and at scale through the creation of a leading-edge, cloud-native data services framework. We focus heavily on developer experience, on strong, semantic abstractions for the data ecosystem, on professional operations and aggressive automation, and on transparency of operations and cost. Achieving delivery of the right data to the right people at the right time needs design and implementation of data flows and data products which leverage internal and external data assets and tools to drive discovery and development is a key objective for the Data Science and Data Engineering (DS D E) team within GSK's Pharmaceutical R&D organisation . There are five key drivers for this approach, which are closely aligned with GSK's corporate priorities of Innovation, Performance and Trust: Automation of end-to-end data flows: Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in Enabling governance by design of external and internal data: with engineered practical solutions for controlled use and monitoring Innovative disease-specific and domain-expert specific data products : to enable computational scientists and their research unit collaborators to get faster to key insights leading to faster biopharmaceutical development cycles. Supporting e2 e code traceability and data provenance: Increasing assurance of data integrity through automation, integration Improving engineering efficiency: Extensible, reusable, scalable,updateable,maintainable, virtualized traceable data and code would b e driven by data engineering innovation and better resource utilization. We are looking for an experienced Sr. Data Ops Engineer to join our growing Data Ops team. As a Sr. Data Ops Engineer is a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardizing and templatizingbiomedical and scientificdata engineering, with demonstrable experience across the following areas : Deliver declarative components for common data ingestion, transformation and publishing techniques Define and implement data governance aligned to modern standards Establish scalable, automated processes for data engineering team s across GSK Thought leader and partner with wider DSDE data engineering teams to advise on implementation and best practices Cloud Infrastructure-as-Code D efine Service and Flow orchestration Data as a configurable resource(including configuration-driven access to scientific data modelling tools) Ob servabilty (monitoring, alerting, logging, tracing, ...) Enable quality engineering through KPIs and c ode coverage and quality checks Standardise GitOps /declarative software development lifecycle Audit as a service Sr. DataOpsEngineerstake full ownership of delivering high-performing, high-impactbiomedical and scientificdataopsproducts and services, froma description of apattern thatcustomer Data Engineers are trying touseall the way through tofinal delivery (and ongoing monitoring and operations)of a templated project and all associated automation. They arestandard-bearers for software engineering and quality coding practices within theteam andareexpected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project.Theydevise useful metrics for ensuring their services are meeting customer demand and having animpact anditerate to deliver and improve on those metrics in an agile fashion. A successfulSr.DataOpsEngineeris developing expertise with the types of data and types of tools that are leveraged in the biomedical and scientific data engineering space, andhas the following skills and experience(withsignificant depth in one or more of these areas): Demonstrable experience deploying robust modularised/ container based solutions to production (ideally GCP) and leveraging the Cloud NativeComputing Foundation (CNCF) ecosystem Significant depth in DevOps principles and tools ( e.g. GitOps , Jenkins, CircleCI , Azure DevOps, ...), and how to integrate these tools with other productivity tools (e.g. Jira, Slack, Microsoft Teams) to build a comprehensive workflow P rogramming in Python. Scala or Go Embedding agile s oftware engineering ( task/issue management, testing, documentation, software development lifecycle, source control, ) Leveraging major cloud providers, both via Kubernetes or via vendor-specific services Authentication and Authorization flows and associated technologies ( e.g. OAuth2 + JWT) Common distributed data tools ( e.g. Spark, Hive) The DSDE team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Why you? Basic Qualifications: Bachelors degree in Computer Science with a focus in Data Engineering, DataOps, DevOps, MLOps, Software Engineering, etc, plus 7 years job experience or Masters degree with 5 Years of experience (or PhD plus 3 years job experience) Deep experience with DevOps tools and concepts ( e.g. Jira, GitLabs / Jenkins / CircleCI / Azure DevOps / ...) Excellent with common distributed data tools in a production setting (Spark, Kafka, etc) Experience with specialized data architecture ( e.g. optimizing physical layout for access patterns, including bloom filters, optimizing against self-describing formats such as ORC or Parquet, etc) Experience with search / indexing systems ( e.g. Elasticsearch) Deep expertise with agile development in Python, Scala, Go, and/or C++ Experience building reusable components on top of the CNCF ecosystem including Kubernetes Metrics-first mindset Experience mentoring junior engineers into deep technical expertise Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience with agile software development Experience building and designing a DevOps-first way of working Demonstrated experience building reusable components on top of the CNCF ecosystem including Kubernetes (or similar ecosystem ) LI-GSK Why GSK? Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high-quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and wellbeing Building strong relationships and collaboration, honest and open conversations. Budgeting and cost consciousness As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary..... click apply for full job details
Senior Clinical Data Scientist Responsible for the end-to-end coordination of cross functional data collection and cleaning activities to ensure clinical study data deliverables are fit for purpose and align with the executed contract and sponsor expectations and timelines. Come discover what our 25,000+ employees already know: work here matters everywhere. We're a growing and evolving biopharmaceutical industry leader, which means you'll have endless opportunities to work with experts around the world and build the career you've dreamed of. As a part of the Syneos Health team, you'll help us deliver results for a rewarding reason - we improve patients' lives around the world. Because to us, a patient isn't just a number, they're our family, friends, and neighbors. Why Syneos Health • means we're committed to our Total Self culture - where everyone can authentically be themselves. Our Total Self culture is what unites us globally, and we know every person's unique contributions make a difference. • We believe our success is a direct result of the people who are driving it - you! We value your dedication to care for our customers and patients, so we want to focus on taking care of you. That's why we offer a comprehensive benefits program encompassing your total health - physical, mental and financial. • We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong. Job responsibilities Serves as Functional Lead for Clinical Data Science on complex project with diverse scope, including primary contact for internal liaison between Clinical Data Science and Project Management, Clinical Monitoring, and other functional groups. Acts as central steward of clinical data quality, monitors risks through the holistic review of clinical and operational data, using detailed knowledge of the protocol, taking into account the specific therapeutic area aspects of the protocol related to the data collected and aligning with cross functional operational plans to drive comprehensive clinical data quality Ensures the required data elements and corresponding data quality oversight steps are identified to support the defined study analysis Works with assigned project teams to communicate, address, troubleshoot and resolve complex data related questions and recommends potential solutions; escalates issues which potentially impact patient safety and study analysis Coordinates cross functional data cleaning activities to ensure quality standards and timelines are met for clinical data deliverables Develops the clinical data acquisition plan and corresponding data flow diagram for complex studies, assess risks associated with protocol design or program level strategies, study set parameters that could impact the credibility and reliability of the trial results within a program of studies. Aligns data flow with the study protocol to ensure data collected meets regulatory and study endpoint requirements. Design and drives the development of analytical tools, utilizes analytical platform/dashboard to detect potentially unreliable data that may impact the validity of the trial results. Demonstrates understanding of advanced technology method and the scope of applicability for study or program of studies Performs analytic reviews as defined in scope of work and data acquisition plan, identifies root cause to systematically resolve complex data issues Monitors and communicates project progress to the Sponsor and project team including use of project status reports and tracking tools/metrics Ensures launch, delivery and completion of all Clinical Data Sciences activities and milestones according to contractual agreement and relevant Standard Operating Procedures (SOPs), guidelines, and regulations Perform metric collection and data analysis to support continuous process improvement Review, maintain budget and identify out of scope for Clinical Sciences activities, raise to PM to be implemented in required change order Plans, manages, and requests Clinical Data Science resources for assigned projects Coordinates the work of the assigned Clinical Data Science team Develops and maintains project plans, specifications, and documentation in line with SOP requirements Maintains documentation on an ongoing basis and ensures that all TMF filing is up to date for necessary files Participates in, and presents at internal, Sponsor, third-party, and investigator meetings on behalf of clinical data science responsibilities Prepares input, and participates in proposal bid defense meetings and request for proposals on behalf of clinical data science responsibilities Actively promote new clinical data science business opportunities aligned with sponsor strategies. Plans for and creates necessary documentation to support internal and external audits; participates in such audits on behalf of clinical data sciences responsibilities Trains and mentors new or junior team members Maintains proficiency in Clinical Data Science systems and processes through regular training. May attend/represent the company at professional meetings/conferences Performs other work-related duties as assigned. Minimal travel may be required (up to 25%) What we're looking for BA/BS in the biological sciences, computer sciences, mathematics, or data sciences and/or related disciplines in the natural science/health care space. MS degree is preferred. In lieu of degree, equivalent relevant work experience Clinical Data Science experience or an equivalent combination of education and experience Experience in Clinical Data Science practices and relational database management software systems In-depth knowledge of the drug development process and its impact on data quality, in particular riskbased approach, biometrics procedures, workflows. Sound knowledge of analytic modeling methods such as regression, classification and clustering Strong project management skills and knowledge of project management methodologies Strong analytical skills and knowledge of Artificial intelligence /machine learning methodologies preferred Demonstrated staff leadership skills Knowledge of ALCOA+ data quality principles Expertise in protocol interpretation, data collection and data cleaning specification development Experienced with data analysis/data review and visualization tool sets including but not limited to Python, R, Spotfire, SAS Knowledge of medical terminology, clinical data, and ICH/GCP regulatory requirements for clinical studies, in particular requirements applicable to Clinical Data Sciences Proficiency in MS Windows navigation, Word, Excel, PowerPoint, and email applications Effective oral and written communication and presentation skills Good organizational, planning, and time management skills with the ability to multitask under tight deadlines while providing attention to detail Ability to be flexible and adapt to change, to work independently, as well as part of a multi-disciplinary team Ability to make effective decisions and manage multiple priorities in a highly dynamic environment Get to know Syneos Health We are the only full-service biopharmaceutical solutions company in the world. That means we bring together the best clinical and commercial minds to create a better, smarter, faster way to get medicines into the hands of patients who need it most. Learn more about Syneos Health. Additional Information: Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.
22/09/2022
Full time
Senior Clinical Data Scientist Responsible for the end-to-end coordination of cross functional data collection and cleaning activities to ensure clinical study data deliverables are fit for purpose and align with the executed contract and sponsor expectations and timelines. Come discover what our 25,000+ employees already know: work here matters everywhere. We're a growing and evolving biopharmaceutical industry leader, which means you'll have endless opportunities to work with experts around the world and build the career you've dreamed of. As a part of the Syneos Health team, you'll help us deliver results for a rewarding reason - we improve patients' lives around the world. Because to us, a patient isn't just a number, they're our family, friends, and neighbors. Why Syneos Health • means we're committed to our Total Self culture - where everyone can authentically be themselves. Our Total Self culture is what unites us globally, and we know every person's unique contributions make a difference. • We believe our success is a direct result of the people who are driving it - you! We value your dedication to care for our customers and patients, so we want to focus on taking care of you. That's why we offer a comprehensive benefits program encompassing your total health - physical, mental and financial. • We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong. Job responsibilities Serves as Functional Lead for Clinical Data Science on complex project with diverse scope, including primary contact for internal liaison between Clinical Data Science and Project Management, Clinical Monitoring, and other functional groups. Acts as central steward of clinical data quality, monitors risks through the holistic review of clinical and operational data, using detailed knowledge of the protocol, taking into account the specific therapeutic area aspects of the protocol related to the data collected and aligning with cross functional operational plans to drive comprehensive clinical data quality Ensures the required data elements and corresponding data quality oversight steps are identified to support the defined study analysis Works with assigned project teams to communicate, address, troubleshoot and resolve complex data related questions and recommends potential solutions; escalates issues which potentially impact patient safety and study analysis Coordinates cross functional data cleaning activities to ensure quality standards and timelines are met for clinical data deliverables Develops the clinical data acquisition plan and corresponding data flow diagram for complex studies, assess risks associated with protocol design or program level strategies, study set parameters that could impact the credibility and reliability of the trial results within a program of studies. Aligns data flow with the study protocol to ensure data collected meets regulatory and study endpoint requirements. Design and drives the development of analytical tools, utilizes analytical platform/dashboard to detect potentially unreliable data that may impact the validity of the trial results. Demonstrates understanding of advanced technology method and the scope of applicability for study or program of studies Performs analytic reviews as defined in scope of work and data acquisition plan, identifies root cause to systematically resolve complex data issues Monitors and communicates project progress to the Sponsor and project team including use of project status reports and tracking tools/metrics Ensures launch, delivery and completion of all Clinical Data Sciences activities and milestones according to contractual agreement and relevant Standard Operating Procedures (SOPs), guidelines, and regulations Perform metric collection and data analysis to support continuous process improvement Review, maintain budget and identify out of scope for Clinical Sciences activities, raise to PM to be implemented in required change order Plans, manages, and requests Clinical Data Science resources for assigned projects Coordinates the work of the assigned Clinical Data Science team Develops and maintains project plans, specifications, and documentation in line with SOP requirements Maintains documentation on an ongoing basis and ensures that all TMF filing is up to date for necessary files Participates in, and presents at internal, Sponsor, third-party, and investigator meetings on behalf of clinical data science responsibilities Prepares input, and participates in proposal bid defense meetings and request for proposals on behalf of clinical data science responsibilities Actively promote new clinical data science business opportunities aligned with sponsor strategies. Plans for and creates necessary documentation to support internal and external audits; participates in such audits on behalf of clinical data sciences responsibilities Trains and mentors new or junior team members Maintains proficiency in Clinical Data Science systems and processes through regular training. May attend/represent the company at professional meetings/conferences Performs other work-related duties as assigned. Minimal travel may be required (up to 25%) What we're looking for BA/BS in the biological sciences, computer sciences, mathematics, or data sciences and/or related disciplines in the natural science/health care space. MS degree is preferred. In lieu of degree, equivalent relevant work experience Clinical Data Science experience or an equivalent combination of education and experience Experience in Clinical Data Science practices and relational database management software systems In-depth knowledge of the drug development process and its impact on data quality, in particular riskbased approach, biometrics procedures, workflows. Sound knowledge of analytic modeling methods such as regression, classification and clustering Strong project management skills and knowledge of project management methodologies Strong analytical skills and knowledge of Artificial intelligence /machine learning methodologies preferred Demonstrated staff leadership skills Knowledge of ALCOA+ data quality principles Expertise in protocol interpretation, data collection and data cleaning specification development Experienced with data analysis/data review and visualization tool sets including but not limited to Python, R, Spotfire, SAS Knowledge of medical terminology, clinical data, and ICH/GCP regulatory requirements for clinical studies, in particular requirements applicable to Clinical Data Sciences Proficiency in MS Windows navigation, Word, Excel, PowerPoint, and email applications Effective oral and written communication and presentation skills Good organizational, planning, and time management skills with the ability to multitask under tight deadlines while providing attention to detail Ability to be flexible and adapt to change, to work independently, as well as part of a multi-disciplinary team Ability to make effective decisions and manage multiple priorities in a highly dynamic environment Get to know Syneos Health We are the only full-service biopharmaceutical solutions company in the world. That means we bring together the best clinical and commercial minds to create a better, smarter, faster way to get medicines into the hands of patients who need it most. Learn more about Syneos Health. Additional Information: Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.
The world of Data is growing at an extremely rapid pace and the skills needed to work within this space are growing at a similar rate, but how would you like to be at the forefront of this incredible field within 8-10 weeks, and then be deployed as one of our Data Engineering consultants to hone those skills even further? What is Data Engineering? Working within a data role requires transitional skill sets such as numerical and analytical skills, but it is now expanding into managing data in a variety of storage systems (e.g. databases, data warehouses, data lakes) using programming skills in languages like SQL and Python. As businesses store and handle more and more data, skills in Big Data technologies like Hadoop and Spark are increasingly relevant. Strong communication skills are vital in transforming data to be used by different parts of the business effectively. This could mean ensuring that the data is transformed into the correct format for the data analysts or working closely with the data scientists to ensure that their data pipeline can support their algorithms. Don't worry, you're not expected to know how to do all of this already, that's where we come in. We want to help you grow into someone that can deal with everything from visualisation tools to big data handling and everything in between. By training in one of our world class academies we will make you a specialist consultant who will then work with our clients to help them realise their business needs. Why work for us? We take time and care to develop your abilities and confidence, your success is our success - together we make other businesses stronger. We have great partners: What's really great about having a career in tech is that is transcends all industries, and as such we partner with businesses across all sectors - central government, leading consultancies, charities, the UKs largest mobile network operators, the world's leading music and podcast streaming platform, popular insurance groups, banks... the list goes on. We're super inclusive: We like to be thought of as ED&I champions - To help illustrate the wonderful culture we maintain here at Sparta, we have won a host of awards and been finalists for many more: Essential Skills: Excellent team player A love for technology and its application Prioritisation and organisational skills Clear and transparent communication Critical Thinking and Problem Solving Decision Making Adaptability Presentable, professional and punctual Able to travel throughout the UK Desirable but absolutely not essential - If you know them, great; If you don't, we'll teach you. SQL Scripting skills - Bash / Python / Similar tools Ability to query large datasets Able to create ETL data pipelines Big Data Platforms Cloud platform technologies We like STEM degrees, but we consider everyone, no matter what kind of background you come from.
09/11/2021
Full time
The world of Data is growing at an extremely rapid pace and the skills needed to work within this space are growing at a similar rate, but how would you like to be at the forefront of this incredible field within 8-10 weeks, and then be deployed as one of our Data Engineering consultants to hone those skills even further? What is Data Engineering? Working within a data role requires transitional skill sets such as numerical and analytical skills, but it is now expanding into managing data in a variety of storage systems (e.g. databases, data warehouses, data lakes) using programming skills in languages like SQL and Python. As businesses store and handle more and more data, skills in Big Data technologies like Hadoop and Spark are increasingly relevant. Strong communication skills are vital in transforming data to be used by different parts of the business effectively. This could mean ensuring that the data is transformed into the correct format for the data analysts or working closely with the data scientists to ensure that their data pipeline can support their algorithms. Don't worry, you're not expected to know how to do all of this already, that's where we come in. We want to help you grow into someone that can deal with everything from visualisation tools to big data handling and everything in between. By training in one of our world class academies we will make you a specialist consultant who will then work with our clients to help them realise their business needs. Why work for us? We take time and care to develop your abilities and confidence, your success is our success - together we make other businesses stronger. We have great partners: What's really great about having a career in tech is that is transcends all industries, and as such we partner with businesses across all sectors - central government, leading consultancies, charities, the UKs largest mobile network operators, the world's leading music and podcast streaming platform, popular insurance groups, banks... the list goes on. We're super inclusive: We like to be thought of as ED&I champions - To help illustrate the wonderful culture we maintain here at Sparta, we have won a host of awards and been finalists for many more: Essential Skills: Excellent team player A love for technology and its application Prioritisation and organisational skills Clear and transparent communication Critical Thinking and Problem Solving Decision Making Adaptability Presentable, professional and punctual Able to travel throughout the UK Desirable but absolutely not essential - If you know them, great; If you don't, we'll teach you. SQL Scripting skills - Bash / Python / Similar tools Ability to query large datasets Able to create ETL data pipelines Big Data Platforms Cloud platform technologies We like STEM degrees, but we consider everyone, no matter what kind of background you come from.
* Decision Science * Python, R, SQL, Alteryx, BigQuery, Saas * Tableau, PowerBI, Looker, Qlik, Data Studio I am working with a highly successful marketing company based in London who are currently on the lookout for Junior Decision Scientists to join their Marketing Sciences team; both inexperienced candidates and candidates with 12-18 months commercial experience will be considered. The company work with huge brands such as: L'Oreal, Mercedes-Benz, Samsung, Jaguar. They exist to help their clients invent a new future for their marketing through technology and data. The Marketing Sciences Team has grown almost twice in size over the past year so it's an exciting time to get your 'foot in the door' with this business. Successful candidates will have good knowledge of 1-2 of the following: * Python * R * SQL * Alteryx * BigQuery * SaaS Successful candidates will also: * Have excellent communication skills * Have a high-level of numeracy * Be capable of building strong working relationships with clients Experience in using the following visualisation tools would be advantageous: * Tableau * PowerBI * Looker * Qlik * Data Studio If you are interested in discussing this opportunity further, please send an up-to-date CV to: , or call me today on: . If you know of someone else who may be suitable, please feel free to forward these details on.
07/10/2021
Full time
* Decision Science * Python, R, SQL, Alteryx, BigQuery, Saas * Tableau, PowerBI, Looker, Qlik, Data Studio I am working with a highly successful marketing company based in London who are currently on the lookout for Junior Decision Scientists to join their Marketing Sciences team; both inexperienced candidates and candidates with 12-18 months commercial experience will be considered. The company work with huge brands such as: L'Oreal, Mercedes-Benz, Samsung, Jaguar. They exist to help their clients invent a new future for their marketing through technology and data. The Marketing Sciences Team has grown almost twice in size over the past year so it's an exciting time to get your 'foot in the door' with this business. Successful candidates will have good knowledge of 1-2 of the following: * Python * R * SQL * Alteryx * BigQuery * SaaS Successful candidates will also: * Have excellent communication skills * Have a high-level of numeracy * Be capable of building strong working relationships with clients Experience in using the following visualisation tools would be advantageous: * Tableau * PowerBI * Looker * Qlik * Data Studio If you are interested in discussing this opportunity further, please send an up-to-date CV to: , or call me today on: . If you know of someone else who may be suitable, please feel free to forward these details on.
