Your new company You'll be joining an organisation embarking on an ambitious, forward-thinking programme to introduce Artificial Intelligence and Automation across its key services. The goal is to enhance user experience, streamline processes, and drive operational efficiency through intelligent, scalable digital solutions. This is an opportunity to contribute to meaningful transformation within a complex and high-impact environment. Your new role As a Senior AI Technical Architect, you will take the lead in shaping and delivering the enterprise-wide AI technology approach. You will define strategic AI architecture, ensure alignment with organisational principles, and drive the design and implementation of innovative, production-ready solutions. You will architect, design and deliver AI systems leveraging Microsoft Azure Cognitive Services, focusing initially on: AI-powered Document Intelligence Multilingual speech transcription and translation Cognitive search across structured and unstructured contentYou will collaborate closely with architecture, data and engineering teams to embed AI capabilities across the wider technology ecosystem. You'll lead technical proof-of-concepts, establish API and integration standards, guide engineering best practice and ensure compliance with accessibility, ethical and legal frameworks. This is a hands-on role at the centre of a growing AI delivery capability. What you'll need to succeed Essential technical expertise: Strong experience designing and delivering AI/ML solutions using Azure Cognitive Services Hands-on development skills in Python, C#/.NET, and React Deep knowledge of RESTful APIs, Azure AI orchestration, Cognitive Search (semantic, keyword and hybrid modes), OCR, layout analysis and metadata extraction Background in building: Speech transcription pipelines Document intelligence models Multilingual translation solutionsArchitectural & strategic capabilities: Ability to define enterprise AI strategy and align solutions with organisational architecture and technology roadmaps Experience evaluating and integrating cloud, hybrid, open-source and vendor AI technologiesDesirable:Familiarity with Azure OpenAI, Azure Content Safety and Azure DevOpsExperience working within regulated or public sector environments (advantageous but not essential) What you'll get in return You'll have the opportunity to shape a high-profile AI transformation from the ground up, influence strategic decision-making, and deliver practical, scalable AI capabilities that create real-world impact. You'll work with cutting-edge Azure AI technologies and contribute to an ambitious roadmap of innovation and continuous improvement. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
03/03/2026
Contractor
Your new company You'll be joining an organisation embarking on an ambitious, forward-thinking programme to introduce Artificial Intelligence and Automation across its key services. The goal is to enhance user experience, streamline processes, and drive operational efficiency through intelligent, scalable digital solutions. This is an opportunity to contribute to meaningful transformation within a complex and high-impact environment. Your new role As a Senior AI Technical Architect, you will take the lead in shaping and delivering the enterprise-wide AI technology approach. You will define strategic AI architecture, ensure alignment with organisational principles, and drive the design and implementation of innovative, production-ready solutions. You will architect, design and deliver AI systems leveraging Microsoft Azure Cognitive Services, focusing initially on: AI-powered Document Intelligence Multilingual speech transcription and translation Cognitive search across structured and unstructured contentYou will collaborate closely with architecture, data and engineering teams to embed AI capabilities across the wider technology ecosystem. You'll lead technical proof-of-concepts, establish API and integration standards, guide engineering best practice and ensure compliance with accessibility, ethical and legal frameworks. This is a hands-on role at the centre of a growing AI delivery capability. What you'll need to succeed Essential technical expertise: Strong experience designing and delivering AI/ML solutions using Azure Cognitive Services Hands-on development skills in Python, C#/.NET, and React Deep knowledge of RESTful APIs, Azure AI orchestration, Cognitive Search (semantic, keyword and hybrid modes), OCR, layout analysis and metadata extraction Background in building: Speech transcription pipelines Document intelligence models Multilingual translation solutionsArchitectural & strategic capabilities: Ability to define enterprise AI strategy and align solutions with organisational architecture and technology roadmaps Experience evaluating and integrating cloud, hybrid, open-source and vendor AI technologiesDesirable:Familiarity with Azure OpenAI, Azure Content Safety and Azure DevOpsExperience working within regulated or public sector environments (advantageous but not essential) What you'll get in return You'll have the opportunity to shape a high-profile AI transformation from the ground up, influence strategic decision-making, and deliver practical, scalable AI capabilities that create real-world impact. You'll work with cutting-edge Azure AI technologies and contribute to an ambitious roadmap of innovation and continuous improvement. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Are you ready to revolutionise the world with TEKEVER? At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting-edge advancements meet unparalleled innovation. Digital ️ Defence Security ️ Space We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges - from protecting people and critical infrastructure to exploring space. We offer a unique surveillance-as-a-service solution that delivers real-time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments - whether at sea, on land, in space, or in cyberspace. Become part of a dynamic, multidisciplinary, and mission-driven team that is transforming maritime surveillance and redefining global safety standards. At TEKEVER, our mission is to provide limitless support through mission-oriented game-changers, delivering the right information at the right time to empower critical decision-making. If you're passionate about technology and eager to shape the future - TEKEVER is the place for you. Mission We are looking for a Communications Systems Engineer to design, integrate, and validate the vital data links that keep our Unmanned Aircraft Systems (UAS) connected. This is a systems-focused role where you will own the end-to-end communication architecture-ensuring seamless command and control (C2) and high-bandwidth telemetry across diverse and contested environments. You will be the bridge between high-level mission requirements and hardware implementation, selecting the right mix of RF, Satcom, and Military Bearers to ensure mission success. From defining link budgets to conducting "on-platform" interference testing, you will ensure our aircraft are never out of reach. Responsibilities Architecture Design: Define the communication system architecture, selecting and sizing hardware (transceivers, antennas, modems) to meet range, throughput, and SWaP-C constraints. Systems Integration: Lead the integration of Line-of-Sight (LOS) and Beyond-Line-of-Sight (BLOS/Satcom) systems onto UAS platforms, managing complex interfaces and protocol stacks. Link Budget Analysis: Perform rigorous link budget calculations for various frequencies to guarantee robust connectivity in all flight profiles. Military Comms & Encryption: Oversee the implementation of secure military waveforms and cryptographic equipment, ensuring compliance with UK defense standards. Protocol Mastery: Configure and optimize communication protocols and networking stacks (TCP/IP, MAVLink) for low-latency, high-reliability aerial links. Verification & Test: Design and execute bench-top HIL (Hardware-in-the-Loop) tests, ground range trials, and flight test campaigns to validate link performance and EMI/EMC compatibility. Qualifications Experience: 5+ years in communications systems engineering, ideally within the aerospace, defense, or autonomous systems sector. Technical Breadth: Deep knowledge of RF principles, antenna theory, and modulation schemes (OFDM, FHSS, etc.). Hardware & Protocols: Hands-on experience with SDRs (Software Defined Radios), Satcom terminals, and tactical data links. Standards Knowledge: Familiarity with military communication standards (e.g., Link 16, Bowman) or commercial standards (LTE/5G, DVB-S2) is highly desirable. Education: Degree in Electrical/Electronic Engineering, Telecommunications, or a related technical field. Security: This role requires UK SC (Security Check) clearance. Systems Mindset: The ability to see beyond the "black box" to understand how comms impacts flight safety and mission data quality. Problem Solver: A "hands-on" approach to troubleshooting RF interference or network dropouts in complex, real-world environments. Collaborative: Able to work closely with Avionics, Software, and Airframe engineers to find the optimal placement for antennas and comms hardware. Adaptability: A proactive desire to embrace new processes and drive continuous improvement in engineering methods. Agility: Comfortable leading in a fast-paced development environment where requirements and threats can evolve rapidly. Benefits An excellent work environment and an opportunity to make a difference. Salary compatible with the level of proven experience. Do you want to know more about us? Visit our LinkedIn page at
05/02/2026
Full time
Are you ready to revolutionise the world with TEKEVER? At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting-edge advancements meet unparalleled innovation. Digital ️ Defence Security ️ Space We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges - from protecting people and critical infrastructure to exploring space. We offer a unique surveillance-as-a-service solution that delivers real-time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments - whether at sea, on land, in space, or in cyberspace. Become part of a dynamic, multidisciplinary, and mission-driven team that is transforming maritime surveillance and redefining global safety standards. At TEKEVER, our mission is to provide limitless support through mission-oriented game-changers, delivering the right information at the right time to empower critical decision-making. If you're passionate about technology and eager to shape the future - TEKEVER is the place for you. Mission We are looking for a Communications Systems Engineer to design, integrate, and validate the vital data links that keep our Unmanned Aircraft Systems (UAS) connected. This is a systems-focused role where you will own the end-to-end communication architecture-ensuring seamless command and control (C2) and high-bandwidth telemetry across diverse and contested environments. You will be the bridge between high-level mission requirements and hardware implementation, selecting the right mix of RF, Satcom, and Military Bearers to ensure mission success. From defining link budgets to conducting "on-platform" interference testing, you will ensure our aircraft are never out of reach. Responsibilities Architecture Design: Define the communication system architecture, selecting and sizing hardware (transceivers, antennas, modems) to meet range, throughput, and SWaP-C constraints. Systems Integration: Lead the integration of Line-of-Sight (LOS) and Beyond-Line-of-Sight (BLOS/Satcom) systems onto UAS platforms, managing complex interfaces and protocol stacks. Link Budget Analysis: Perform rigorous link budget calculations for various frequencies to guarantee robust connectivity in all flight profiles. Military Comms & Encryption: Oversee the implementation of secure military waveforms and cryptographic equipment, ensuring compliance with UK defense standards. Protocol Mastery: Configure and optimize communication protocols and networking stacks (TCP/IP, MAVLink) for low-latency, high-reliability aerial links. Verification & Test: Design and execute bench-top HIL (Hardware-in-the-Loop) tests, ground range trials, and flight test campaigns to validate link performance and EMI/EMC compatibility. Qualifications Experience: 5+ years in communications systems engineering, ideally within the aerospace, defense, or autonomous systems sector. Technical Breadth: Deep knowledge of RF principles, antenna theory, and modulation schemes (OFDM, FHSS, etc.). Hardware & Protocols: Hands-on experience with SDRs (Software Defined Radios), Satcom terminals, and tactical data links. Standards Knowledge: Familiarity with military communication standards (e.g., Link 16, Bowman) or commercial standards (LTE/5G, DVB-S2) is highly desirable. Education: Degree in Electrical/Electronic Engineering, Telecommunications, or a related technical field. Security: This role requires UK SC (Security Check) clearance. Systems Mindset: The ability to see beyond the "black box" to understand how comms impacts flight safety and mission data quality. Problem Solver: A "hands-on" approach to troubleshooting RF interference or network dropouts in complex, real-world environments. Collaborative: Able to work closely with Avionics, Software, and Airframe engineers to find the optimal placement for antennas and comms hardware. Adaptability: A proactive desire to embrace new processes and drive continuous improvement in engineering methods. Agility: Comfortable leading in a fast-paced development environment where requirements and threats can evolve rapidly. Benefits An excellent work environment and an opportunity to make a difference. Salary compatible with the level of proven experience. Do you want to know more about us? Visit our LinkedIn page at
Site Name: London The Stanley Building Posted Date: Sep At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. The opportunities for machine learning extend to many other areas of our business, including medicine safety, manufacturing and supply chain. To realize these opportunities, GSK has created a global Artificial Intelligence and Machine learning group (AI/ML), with locations in London, San Francisco, Boston, Philadelphia and Heidelberg, to focus on the development and application of machine learning to problems of critical importance at GSK. We possess a world-leading data and computational environment (including specialist hardware) to enable large-scale, scientific experiments that exploit GSK's unique access to data. By actively engaging with the machine learning community and publishing our research, code and models built on public data, the AI/ML group operates at the cutting-edge of machine learning research. To help us, we seek a p assionate AI/ML E ngineer who wish es to turn their talents to the application of active learning to the healthcare sector. You will be working in a research-focused team on building products on the topics of active learning and creating data efficient models, to support multiple large-scale projects within AI/ML. In addition, the Engineer will learn about the pharmaceutical industry and software engineering, and translate their research into tools that aid discovery and development of transformational medicines and vaccines. Why you? Basic Qualification We are looking for professionals with these required skills to achieve our goals: A minimum of an MSc in machine learning , computer science, physics or a related quantitative field . Understanding and application of best practices in Machine Learning, with breadth across the ML stack . Experience with machine learning literature and state-of-the-art modelling approaches. Previous experience in developing and delivering robust software solutions, including demonstrated advanced programming expertise in Python. Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, and shell scripting. Experience in at least one major deep learning framework (PyTorch, TensorFlow). Preferred Qualifications: If you have the following characteristics, it would be a plus: PhD in machine learning, computer science, physics or a related quantitative field Relevant scientific publications in AI/ML . Understanding and application of best practices in machine learning, software engineering, and/or production deployment of ML services. Track record of contributing toopen sourceprojects. Understanding of modern ML Architectures, Platforms, and backend systems. Mentality of commit early and often, metrics before models, and shipping high quality production code. 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 well-being . Building strong relationships and collaboration, honest and open conversations. Budgeting and cost-consciousness . LI-GSK # GSKAIML2022 GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. 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. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it.Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
23/09/2022
Full time
Site Name: London The Stanley Building Posted Date: Sep At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. The opportunities for machine learning extend to many other areas of our business, including medicine safety, manufacturing and supply chain. To realize these opportunities, GSK has created a global Artificial Intelligence and Machine learning group (AI/ML), with locations in London, San Francisco, Boston, Philadelphia and Heidelberg, to focus on the development and application of machine learning to problems of critical importance at GSK. We possess a world-leading data and computational environment (including specialist hardware) to enable large-scale, scientific experiments that exploit GSK's unique access to data. By actively engaging with the machine learning community and publishing our research, code and models built on public data, the AI/ML group operates at the cutting-edge of machine learning research. To help us, we seek a p assionate AI/ML E ngineer who wish es to turn their talents to the application of active learning to the healthcare sector. You will be working in a research-focused team on building products on the topics of active learning and creating data efficient models, to support multiple large-scale projects within AI/ML. In addition, the Engineer will learn about the pharmaceutical industry and software engineering, and translate their research into tools that aid discovery and development of transformational medicines and vaccines. Why you? Basic Qualification We are looking for professionals with these required skills to achieve our goals: A minimum of an MSc in machine learning , computer science, physics or a related quantitative field . Understanding and application of best practices in Machine Learning, with breadth across the ML stack . Experience with machine learning literature and state-of-the-art modelling approaches. Previous experience in developing and delivering robust software solutions, including demonstrated advanced programming expertise in Python. Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, and shell scripting. Experience in at least one major deep learning framework (PyTorch, TensorFlow). Preferred Qualifications: If you have the following characteristics, it would be a plus: PhD in machine learning, computer science, physics or a related quantitative field Relevant scientific publications in AI/ML . Understanding and application of best practices in machine learning, software engineering, and/or production deployment of ML services. Track record of contributing toopen sourceprojects. Understanding of modern ML Architectures, Platforms, and backend systems. Mentality of commit early and often, metrics before models, and shipping high quality production code. 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 well-being . Building strong relationships and collaboration, honest and open conversations. Budgeting and cost-consciousness . LI-GSK # GSKAIML2022 GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. 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. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it.Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
Ofcom is the regulator for the communications services that we use and rely on each day. We make sure people get the best from their broadband, home phone and mobile services, as well as keeping an eye on TV and radio. We also oversee the universal postal service, look after the airwaves used by wireless devices, and also help to make sure people don't get scammed and are protected from bad practices, and we have recently taken on the regulation of video-sharing platforms, and we are preparing for a role in protecting people from online harms. Protecting consumers is at the heart of what we do. Our culture is clear - we live by our values: Empowerment; Excellence; Collaboration; Agility and Respect. These define how we work to deliver our purpose, now and in the future. The behaviours which support these values set the path for a fully inclusive and innovative culture at Ofcom. We focus not only on what we do, but how we do it. We pride ourselves on being an organisation of people who genuinely care about helping others. The Data Innovation Hub works with colleagues across the organisation to improve Ofcom's capability to process, analyse and extract insights from data. For example, we crunch terabytes of data to give us an unparalleled understanding of the coverage and performance of the UK's broadband and mobile networks. And we're exploring how artificial intelligence and machine learning can help us extract more insights from complex data sets or help us do things more efficiently. Purpose of the role This role will support the delivery of our data strategy and growing data agenda by bringing an open mind and strong intellectual curiosity to develop our data analysis capability. Identifying and solving complex business problems with data science and ensuring that we continue to innovate and leverage our data. We are looking for talent to join a central team that can work with all areas of regulatory work, assisting and working alongside colleagues across the organisation, including those working on the new online safety regime. by, exploring the application of deep learning for anomaly detection, combining social media analysis and natural language processing to understand issues affecting consumers or developing new ways to visualise and interact with our geospatial data. Expectations To work collaboratively with colleagues in the Data Innovation Hub, policy and operations teams to understand where data science can add value and deliver innovative projects Work with data engineers to source, access, manipulate and engineer data across a range of sources and data formats Build credible statistical models from a range of data sources data and use best coding practices to generate reproducible work in an agile way. Taking projects through to productions where appropriate Explore and visualise data to present a story in a meaningful way, and communicate new insights to a range of technical and non-technical audiences Maintain an awareness of, and utilise an evolving range of data analysis tools and techniques, including open source, some of which must be learnt quickly, as and when required Promote data science skills and inspire best practice in other teams, building an understanding the variety of data science methods and how they can be effectively applied to solve problems Ensuring compliance with our relevant data and information security principles Support colleagues in engagement with external stakeholders on a range of data and data science related topics. Essential Skills & Knowledge You will need to demonstrate knowledge or experience of: Translating complex business problems into analytical projects, then leading or delivering impactful data or analysis with tangible outcomes. A range of data and analytic tools (such as Python, R, Power BI, Azure Databricks, or equivalent), and cloud computing environments. Machine Learning, statistics, or other data analysis tools and techniques. In particular, but not limited to, we would welcome applications from candidates with experience in the following areas of data science: Natural Language Processing Geospatial Data Science Graphs / Network Analytics Neural Networks and Deep Learning Additional experience: Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions, including reviewing the work of others Acting as a thought leader within the Data Science community, including through management and development of junior staff and others' projects. Exploring and advocating ways of utilising new data science tools and techniques to tackle business and organisational challenges, drawing on the application of, and innovation in communication services industries, academia, and other sectors. Strong interpersonal skills and evidence of ability to interact effectively with a range of stakeholders, both internally and externally, to communicate technical concepts across organisational and technical boundaries. Working independently, demonstrating flexibility and adaptability, and supporting a culture of collaboration and trust. Previous experience in the one of our regulatory areas, particularly in online, would be desirable, but is not essential.
09/11/2021
Full time
Ofcom is the regulator for the communications services that we use and rely on each day. We make sure people get the best from their broadband, home phone and mobile services, as well as keeping an eye on TV and radio. We also oversee the universal postal service, look after the airwaves used by wireless devices, and also help to make sure people don't get scammed and are protected from bad practices, and we have recently taken on the regulation of video-sharing platforms, and we are preparing for a role in protecting people from online harms. Protecting consumers is at the heart of what we do. Our culture is clear - we live by our values: Empowerment; Excellence; Collaboration; Agility and Respect. These define how we work to deliver our purpose, now and in the future. The behaviours which support these values set the path for a fully inclusive and innovative culture at Ofcom. We focus not only on what we do, but how we do it. We pride ourselves on being an organisation of people who genuinely care about helping others. The Data Innovation Hub works with colleagues across the organisation to improve Ofcom's capability to process, analyse and extract insights from data. For example, we crunch terabytes of data to give us an unparalleled understanding of the coverage and performance of the UK's broadband and mobile networks. And we're exploring how artificial intelligence and machine learning can help us extract more insights from complex data sets or help us do things more efficiently. Purpose of the role This role will support the delivery of our data strategy and growing data agenda by bringing an open mind and strong intellectual curiosity to develop our data analysis capability. Identifying and solving complex business problems with data science and ensuring that we continue to innovate and leverage our data. We are looking for talent to join a central team that can work with all areas of regulatory work, assisting and working alongside colleagues across the organisation, including those working on the new online safety regime. by, exploring the application of deep learning for anomaly detection, combining social media analysis and natural language processing to understand issues affecting consumers or developing new ways to visualise and interact with our geospatial data. Expectations To work collaboratively with colleagues in the Data Innovation Hub, policy and operations teams to understand where data science can add value and deliver innovative projects Work with data engineers to source, access, manipulate and engineer data across a range of sources and data formats Build credible statistical models from a range of data sources data and use best coding practices to generate reproducible work in an agile way. Taking projects through to productions where appropriate Explore and visualise data to present a story in a meaningful way, and communicate new insights to a range of technical and non-technical audiences Maintain an awareness of, and utilise an evolving range of data analysis tools and techniques, including open source, some of which must be learnt quickly, as and when required Promote data science skills and inspire best practice in other teams, building an understanding the variety of data science methods and how they can be effectively applied to solve problems Ensuring compliance with our relevant data and information security principles Support colleagues in engagement with external stakeholders on a range of data and data science related topics. Essential Skills & Knowledge You will need to demonstrate knowledge or experience of: Translating complex business problems into analytical projects, then leading or delivering impactful data or analysis with tangible outcomes. A range of data and analytic tools (such as Python, R, Power BI, Azure Databricks, or equivalent), and cloud computing environments. Machine Learning, statistics, or other data analysis tools and techniques. In particular, but not limited to, we would welcome applications from candidates with experience in the following areas of data science: Natural Language Processing Geospatial Data Science Graphs / Network Analytics Neural Networks and Deep Learning Additional experience: Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions, including reviewing the work of others Acting as a thought leader within the Data Science community, including through management and development of junior staff and others' projects. Exploring and advocating ways of utilising new data science tools and techniques to tackle business and organisational challenges, drawing on the application of, and innovation in communication services industries, academia, and other sectors. Strong interpersonal skills and evidence of ability to interact effectively with a range of stakeholders, both internally and externally, to communicate technical concepts across organisational and technical boundaries. Working independently, demonstrating flexibility and adaptability, and supporting a culture of collaboration and trust. Previous experience in the one of our regulatory areas, particularly in online, would be desirable, but is not essential.
