Azure AI Solutions Architect Level: Senior Department: Azure Location: Virtual Office in UK (US Based with clients in UK) 100% REMOTE Type: FTE or Contract Pay Range: Based on experience level GENERAL DESCRIPTION & RESPONSIBILITIES The Azure AI Solution Architect will lead the creation of high-value data driven solutions leveraging Cyclotron's proven implementation methodology and solutions for enterprise projects, as well as contributing to technical pre-sales activities as required. You will be responsible for designing solution architecture, requirement definition, and leading the project delivery team. You will have the opportunity to work with and learn the latest cloud solutions in an exciting work environment. This position will work collaboratively across all Cyclotron's sales, service delivery and project management organizations in service to Cyclotron's clients. The ideal candidate will have extensive Microsoft/Azure data services and Azure OpenAI technology experience. The role requires a combination of technical expertise, leadership skills and industry knowledge. Candidates will be expected to contribute to all stages of the data lifecycle. Technical Proficiency: Strong background in artificial intelligence, machine learning, and data science. Proficiency in Microsoft AI technologies, including Azure Machine Learning, Azure Cognitive Services, and related tools. Leadership Skills: Proven experience in leading and managing teams, especially in the AI consulting domain. Strategic thinking and the ability to align AI initiatives with overall business goals. Effective communication and collaboration skills to work with cross-functional teams and clients. Project Management: Experience in successfully managing AI projects from conception to delivery. Familiarity with project management methodologies, such as Agile or Scrum. Client Relationship Management: Ability to understand client needs and deliver AI solutions that meet their requirements. Strong interpersonal skills to build and maintain client relationships. Problem-Solving and Analytical Skills: Critical thinking and problem-solving skills to address complex AI challenges. Analytical mindset for data-driven decision-making. Innovation and Adaptability: A forward-thinking mindset with a focus on innovation in AI technologies. Ability to adapt to evolving industry trends and incorporate new technologies into consulting services. Educational Background: A relevant educational background, such as a degree in computer science, data science, or a related field. Certifications in Microsoft AI technologies can be advantageous. Team Collaboration: Ability to foster a collaborative and inclusive team culture. Experience in mentoring and developing team members. Ethical Considerations: Awareness of ethical considerations in AI and a commitment to responsible AI practices. Results-Oriented: A track record of delivering successful AI projects on time and within budget. Metrics-driven approach to measure the impact of AI solutions. PLACEMENT CRITERIA & REQUIREMENTS Background in statistics and data science 8+ years data engineering delivery experience Strong understanding of ML algorithms, statistical modeling, and data science principles Experience in developing and deploying machine learning models using Microsoft ML Current Microsoft and/or Databricks certifications TECHNICAL SKILLS REQUIRED General Architecture In-depth knowledge of Azure OpenAI Being able to interpret business requirements into functional and then technical requirements Proficiency in Azure services, especially: ML, Cognitive Services, Azure Databricks, Azure Synapse Analytics Experience solutioning Azure Cloud based enterprise data architectures Knowledge of deep learning frameworks with a focus on Microsoft's Cognitive Toolkit (CNTK), TensorFlow and PyTorch Experience in implementing and optimizing deep learning models Experience developing and implementing Retrieval Augmented Generation (RAG) Information Architecture Data Modeling principles for relational and dimensional data structures Data Lake design principles, Data Virtualization Strong knowledge of data warehouse concepts and T-SQL relational/non-relational databases for data access and Advanced Analytics Experience with following languages: Python, R, Scala, SQL, M Experience in multidimensional and / or tabular models (SSAS) Microsoft Azure Stack RDBMS: Azure SQL / SQL Server 2016+ (SQL, Structure, Stored Procs, Tuning) ETL/ELT, (ADF, SSIS) Data governance - (Purview, Unity Catalogue) Databricks Delta Lake Storage Azure Dev OPS DESIRED SKILLS Advanced Analytics Data Technologies Databricks, Delta Lake, Synapse Spark SQL, Pyspark Azure Data Explorer Logic Apps, Key Vault Semi structured data processing Integration Runtime Coding experience: Python, C#, Java for Data analysis purpose One of the following certifications: Azure AI Engineer Associate Azure Fundamentals AI-900 Azure AI Fundamentals Azure Data Scientist Associate Azure Machine Learning Specialty Information Architecture Data Stewardship, Ownership and Quality Management principles Data Governance, Data Catalog, Enterprise Information Management NON-TECHNICAL SKILLS Business Engagement Demonstrated Experience Providing thought leadership and business strategy acumen around advanced analytics and business information lifecycle Leading customers through a value-based decision-making cycle Developing functional, non-functional and technical requirements based on business imperatives Presenting to customer executive teams with authority and purpose CYCLOTRON EXPECTATIONS These are the traits that we hold in the same regard for all employees, also viewed as performance indicators. Each employee should uphold these attributes. Communication and Interpersonal Skills - verbal and written, professional, concise, and effective. Collaboration and Teamwork - share knowledge, build alliances, show respect. Personal Ownership and Responsibility - take initiative, solve problems, be fully present. Customer Focus - Proactive management or Client expectations and needs. Time Management and Productivity - Set Goals, Commit, Record, Communicate Cyclotron is an equal opportunity employer; we encourage diversity and promote an inclusive environment where everyone feels respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, gender expression, age, marital status, religion, national origin, veteran, or disability status. We would love to learn about what you can add to our diverse team. Cyclotron is an Equal Opportunity Employer. Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.
May 05, 2024
Full time
Azure AI Solutions Architect Level: Senior Department: Azure Location: Virtual Office in UK (US Based with clients in UK) 100% REMOTE Type: FTE or Contract Pay Range: Based on experience level GENERAL DESCRIPTION & RESPONSIBILITIES The Azure AI Solution Architect will lead the creation of high-value data driven solutions leveraging Cyclotron's proven implementation methodology and solutions for enterprise projects, as well as contributing to technical pre-sales activities as required. You will be responsible for designing solution architecture, requirement definition, and leading the project delivery team. You will have the opportunity to work with and learn the latest cloud solutions in an exciting work environment. This position will work collaboratively across all Cyclotron's sales, service delivery and project management organizations in service to Cyclotron's clients. The ideal candidate will have extensive Microsoft/Azure data services and Azure OpenAI technology experience. The role requires a combination of technical expertise, leadership skills and industry knowledge. Candidates will be expected to contribute to all stages of the data lifecycle. Technical Proficiency: Strong background in artificial intelligence, machine learning, and data science. Proficiency in Microsoft AI technologies, including Azure Machine Learning, Azure Cognitive Services, and related tools. Leadership Skills: Proven experience in leading and managing teams, especially in the AI consulting domain. Strategic thinking and the ability to align AI initiatives with overall business goals. Effective communication and collaboration skills to work with cross-functional teams and clients. Project Management: Experience in successfully managing AI projects from conception to delivery. Familiarity with project management methodologies, such as Agile or Scrum. Client Relationship Management: Ability to understand client needs and deliver AI solutions that meet their requirements. Strong interpersonal skills to build and maintain client relationships. Problem-Solving and Analytical Skills: Critical thinking and problem-solving skills to address complex AI challenges. Analytical mindset for data-driven decision-making. Innovation and Adaptability: A forward-thinking mindset with a focus on innovation in AI technologies. Ability to adapt to evolving industry trends and incorporate new technologies into consulting services. Educational Background: A relevant educational background, such as a degree in computer science, data science, or a related field. Certifications in Microsoft AI technologies can be advantageous. Team Collaboration: Ability to foster a collaborative and inclusive team culture. Experience in mentoring and developing team members. Ethical Considerations: Awareness of ethical considerations in AI and a commitment to responsible AI practices. Results-Oriented: A track record of delivering successful AI projects on time and within budget. Metrics-driven approach to measure the impact of AI solutions. PLACEMENT CRITERIA & REQUIREMENTS Background in statistics and data science 8+ years data engineering delivery experience Strong understanding of ML algorithms, statistical modeling, and data science principles Experience in developing and deploying machine learning models using Microsoft ML Current Microsoft and/or Databricks certifications TECHNICAL SKILLS REQUIRED General Architecture In-depth knowledge of Azure OpenAI Being able to interpret business requirements into functional and then technical requirements Proficiency in Azure services, especially: ML, Cognitive Services, Azure Databricks, Azure Synapse Analytics Experience solutioning Azure Cloud based enterprise data architectures Knowledge of deep learning frameworks with a focus on Microsoft's Cognitive Toolkit (CNTK), TensorFlow and PyTorch Experience in implementing and optimizing deep learning models Experience developing and implementing Retrieval Augmented Generation (RAG) Information Architecture Data Modeling principles for relational and dimensional data structures Data Lake design principles, Data Virtualization Strong knowledge of data warehouse concepts and T-SQL relational/non-relational databases for data access and Advanced Analytics Experience with following languages: Python, R, Scala, SQL, M Experience in multidimensional and / or tabular models (SSAS) Microsoft Azure Stack RDBMS: Azure SQL / SQL Server 2016+ (SQL, Structure, Stored Procs, Tuning) ETL/ELT, (ADF, SSIS) Data governance - (Purview, Unity Catalogue) Databricks Delta Lake Storage Azure Dev OPS DESIRED SKILLS Advanced Analytics Data Technologies Databricks, Delta Lake, Synapse Spark SQL, Pyspark Azure Data Explorer Logic Apps, Key Vault Semi structured data processing Integration Runtime Coding experience: Python, C#, Java for Data analysis purpose One of the following certifications: Azure AI Engineer Associate Azure Fundamentals AI-900 Azure AI Fundamentals Azure Data Scientist Associate Azure Machine Learning Specialty Information Architecture Data Stewardship, Ownership and Quality Management principles Data Governance, Data Catalog, Enterprise Information Management NON-TECHNICAL SKILLS Business Engagement Demonstrated Experience Providing thought leadership and business strategy acumen around advanced analytics and business information lifecycle Leading customers through a value-based decision-making cycle Developing functional, non-functional and technical requirements based on business imperatives Presenting to customer executive teams with authority and purpose CYCLOTRON EXPECTATIONS These are the traits that we hold in the same regard for all employees, also viewed as performance indicators. Each employee should uphold these attributes. Communication and Interpersonal Skills - verbal and written, professional, concise, and effective. Collaboration and Teamwork - share knowledge, build alliances, show respect. Personal Ownership and Responsibility - take initiative, solve problems, be fully present. Customer Focus - Proactive management or Client expectations and needs. Time Management and Productivity - Set Goals, Commit, Record, Communicate Cyclotron is an equal opportunity employer; we encourage diversity and promote an inclusive environment where everyone feels respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, gender expression, age, marital status, religion, national origin, veteran, or disability status. We would love to learn about what you can add to our diverse team. Cyclotron is an Equal Opportunity Employer. Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.
Unlock a Promising Career Opportunity in the Environmental Technology Sector. Our client, a forward-thinking company in the CleanTech industry, is seeking a talented Senior Data Scientist to join their team. If you have a strong background in data analysis, machine learning, and time series forecasting, this is the perfect opportunity for you to make a lasting impact in the renewable energy space. Don't miss out on this exciting chance to take your career to new heights. Key Responsibilities: Develop cutting-edge predictive models to analyse data related to energy consumption and renewable energy initiatives. Collaborate with skilled software engineers to effectively implement and deploy models. Establish and promote best practises in data science, ensuring continuous improvement and innovation. Dive deep into the vast ocean of available data sources and explore novel methodologies to uncover groundbreaking insights. Required Skills: Proficient in Python 3 and popular data science tools such as pandas, scikit-learn, and more. Extensive experience in creating and fine-tuning machine learning models. Knowledge of time series forecasting and optimisation techniques for accurate predictions. Strong analytical skills combined with a true passion for research-driven development. Excellent communication skills to effectively convey findings and drive meaningful change. - Bonus: If you have a background in forecasting, it will be a significant advantage. Our client's organisation offers a nurturing and supportive work environment where your expertise and contributions are highly valued. With a commitment to work-life balance, they provide remote work options and flexible hours that empower you to excel both professionally and personally. This is a full-time, permanent position working predominately remotely. As part of our client's visionary team, you'll enjoy a competitive salary ranging from 70,000 to 100,000 per year, commensurate with your experience and capabilities. Join our client's team today and become an essential force in shaping a more sustainable future. Let's work together to make a positive impact in the environmental technology sector. Ready to take the leap and secure this incredible opportunity? Submit your CV now and let us propel your career towards greatness. We can't wait to hear from you.
May 01, 2024
Full time
Unlock a Promising Career Opportunity in the Environmental Technology Sector. Our client, a forward-thinking company in the CleanTech industry, is seeking a talented Senior Data Scientist to join their team. If you have a strong background in data analysis, machine learning, and time series forecasting, this is the perfect opportunity for you to make a lasting impact in the renewable energy space. Don't miss out on this exciting chance to take your career to new heights. Key Responsibilities: Develop cutting-edge predictive models to analyse data related to energy consumption and renewable energy initiatives. Collaborate with skilled software engineers to effectively implement and deploy models. Establish and promote best practises in data science, ensuring continuous improvement and innovation. Dive deep into the vast ocean of available data sources and explore novel methodologies to uncover groundbreaking insights. Required Skills: Proficient in Python 3 and popular data science tools such as pandas, scikit-learn, and more. Extensive experience in creating and fine-tuning machine learning models. Knowledge of time series forecasting and optimisation techniques for accurate predictions. Strong analytical skills combined with a true passion for research-driven development. Excellent communication skills to effectively convey findings and drive meaningful change. - Bonus: If you have a background in forecasting, it will be a significant advantage. Our client's organisation offers a nurturing and supportive work environment where your expertise and contributions are highly valued. With a commitment to work-life balance, they provide remote work options and flexible hours that empower you to excel both professionally and personally. This is a full-time, permanent position working predominately remotely. As part of our client's visionary team, you'll enjoy a competitive salary ranging from 70,000 to 100,000 per year, commensurate with your experience and capabilities. Join our client's team today and become an essential force in shaping a more sustainable future. Let's work together to make a positive impact in the environmental technology sector. Ready to take the leap and secure this incredible opportunity? Submit your CV now and let us propel your career towards greatness. We can't wait to hear from you.
Unlock a Promising Career Opportunity in the Environmental Technology Sector. Our client, a forward-thinking company in the CleanTech industry, is seeking a talented Senior Data Scientist to join their team. If you have a strong background in data analysis, machine learning, and time series forecasting, this is the perfect opportunity for you to make a lasting impact in the renewable energy space. Don't miss out on this exciting chance to take your career to new heights. Key Responsibilities: Develop cutting-edge predictive models to analyse data related to energy consumption and renewable energy initiatives. Collaborate with skilled software engineers to effectively implement and deploy models. Establish and promote best practises in data science, ensuring continuous improvement and innovation. Dive deep into the vast ocean of available data sources and explore novel methodologies to uncover groundbreaking insights. Required Skills: Proficient in Python 3 and popular data science tools such as pandas, scikit-learn, and more. Extensive experience in creating and fine-tuning machine learning models. Knowledge of time series forecasting and optimisation techniques for accurate predictions. Strong analytical skills combined with a true passion for research-driven development. Excellent communication skills to effectively convey findings and drive meaningful change. - Bonus: If you have a background in forecasting, it will be a significant advantage. Our client's organisation offers a nurturing and supportive work environment where your expertise and contributions are highly valued. With a commitment to work-life balance, they provide remote work options and flexible hours that empower you to excel both professionally and personally. This is a full-time, permanent position working predominately remotely. As part of our client's visionary team, you'll enjoy a competitive salary ranging from £70,000 to £100,000 per year, commensurate with your experience and capabilities. Join our client's team today and become an essential force in shaping a more sustainable future. Let's work together to make a positive impact in the environmental technology sector. Ready to take the leap and secure this incredible opportunity? Submit your CV now and let us propel your career towards greatness. We can't wait to hear from you.
May 01, 2024
Full time
Unlock a Promising Career Opportunity in the Environmental Technology Sector. Our client, a forward-thinking company in the CleanTech industry, is seeking a talented Senior Data Scientist to join their team. If you have a strong background in data analysis, machine learning, and time series forecasting, this is the perfect opportunity for you to make a lasting impact in the renewable energy space. Don't miss out on this exciting chance to take your career to new heights. Key Responsibilities: Develop cutting-edge predictive models to analyse data related to energy consumption and renewable energy initiatives. Collaborate with skilled software engineers to effectively implement and deploy models. Establish and promote best practises in data science, ensuring continuous improvement and innovation. Dive deep into the vast ocean of available data sources and explore novel methodologies to uncover groundbreaking insights. Required Skills: Proficient in Python 3 and popular data science tools such as pandas, scikit-learn, and more. Extensive experience in creating and fine-tuning machine learning models. Knowledge of time series forecasting and optimisation techniques for accurate predictions. Strong analytical skills combined with a true passion for research-driven development. Excellent communication skills to effectively convey findings and drive meaningful change. - Bonus: If you have a background in forecasting, it will be a significant advantage. Our client's organisation offers a nurturing and supportive work environment where your expertise and contributions are highly valued. With a commitment to work-life balance, they provide remote work options and flexible hours that empower you to excel both professionally and personally. This is a full-time, permanent position working predominately remotely. As part of our client's visionary team, you'll enjoy a competitive salary ranging from £70,000 to £100,000 per year, commensurate with your experience and capabilities. Join our client's team today and become an essential force in shaping a more sustainable future. Let's work together to make a positive impact in the environmental technology sector. Ready to take the leap and secure this incredible opportunity? Submit your CV now and let us propel your career towards greatness. We can't wait to hear from you.
Site Name: UK - Hertfordshire - Stevenage Posted Date: Sep 5 2022 Join the GSK Industrial Placement UK Programme as a Study Delivery Lead (VEO):Help us get ahead of disease together. Education required: Undergraduate degree from an accredited university, preferably in Life Sciences e.g. Biology, Chemistry, Biomedical Sciences. Other requirements: You will have completed a minimum of 2 years of your undergraduate degree but will not have graduated at the start of your placement. You must be enrolled at a UK university for the duration of your placement. Language requirement: Written and spoken fluency in English Expected Start date: 4th September 2023 Duration: 1 year (approximately) Location: Stevenage Application deadline: Friday 14th October 2022. We will close this vacancy when we have enough applications, so we recommend that you apply as soon as you can so your application can be considered. Proposed Assessment / Interview Dates: The majority of R&D interviews will take place in the first two weeks of November Salary: A salary of £21,000, plus a bonus Are you looking to gain valuable real world work experience and help positively impact the lives of others GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together. 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. A GSK internship offers you the opportunity to kickstart your career - to take on a real role with genuine impact. You'll take on challenging tasks within live projects or assignments. You'll also get to learn from others in your team and other parts of GSK whilst developing your skills and gaining valuable experience for wherever the future takes you. Inspired to help us get ahead together?Apply for a Study Delivery Lead (VEO) Industrial Placement role at GSK today! Our approach to R&D focuses on science related to the prevention and treatment of disease with vaccines, specialty and general medicines. We focus on science of the immune system, human genetics and advanced technologies to impact health at scale. Our pipeline currently comprises of more than 60vaccines and medicines across four core therapeutic areas including oncology, infectious diseases, immunology / respiratory and HIV. Find out more: Our approach to R&D . About Value, Evidence and Outcomes (VEO) The Value, Evidence and Outcomes department is focused on generating evidence that enables us to get the right medicine to the right patient at the right time. We do this by conducting studies that demonstrate the value of our medicines to regulators (e.g. MHRA), Payers (e.g. NICE) and Healthcare Professionals, optimising patient benefit and access to GSK medicines. Our activities are wide ranging including interventional studies, non-interventional studies, registry studies, safety studies, patient interview and survey studies, economic modelling and studies using pre-existing data sources (e.g. electronic medical records, claims databases). The Study Delivery team within VEO are accountable for the on time and on budget delivery of all VEO activities to the highest scientific, quality and ethical standards. Study Delivery Lead role Within this role your day-to-day responsibilities will be supporting a Senior Study Delivery Lead to deliver a variety of evidence generation studies. Your responsibilities may include but are not limited to: Supporting the operational delivery of VEO studies (including, for example: vendor assessment and selection, feasibility assessments, vendor oversight, recruitment tracking, operational plan development) Preparation of high-quality scientific materials relating to VEO studies (including, for example: contributing to study protocols, informed consent forms, study reports) Attendance at and contribution to study team and vendor meetings. Assist with planning and tracking of study timelines and budgets. Co-ordinate key study activities such as study documentation filing, study team meetings, risk review and mitigation meetings Who are we looking for? We are looking for a student who can work well as part of a team and, as needed, independently with appropriate time management, flexibility and attention to detail. You must be reliable, enthusiastic, have a proactive attitude and be self-motivated with good written and verbal communication skills. You will be computer literate in MS Word, MS PowerPoint and Excel. It is important you are able to build strong relationships and have the ability to influence others. The ideal candidate will thrive working across multiple projects and be able to prioritise effectively. Please note: this role is office-based What do we offer you? A salary of £21,000, plus a bonus Access to GSK resources, including employee assistance programmes, private healthcare and well-being programs and pension plan membership On-the-job experience and informal training and development, delivered through a mixture of coaching, mentoring, and training programs A GSK placement which gives you the opportunity to take on a real role with genuine impact You will join a GSK Industrial Placement community of over 250 students across the UK and business areas Access to LinkedIn groups to enable the new Industrial Placement community to network and connect before start date For R&D placements you will also be enrolled in several GSK internal courses as part of company policy such as data integrity, use of internal electronic lab book, laboratory safety rules Within R&D you will have the opportunity to attend seminars by GSK scientists, which run throughout the year and comprise of a wide range of areas within drug discovery Let's do this! This opportunity has the following recruitment stages you must successfully pass to be offered a placement year with GSK for 2023: 1. Eligibility Form 2. World of GSK Online Assessment 3. Application Form 4. Virtual Assessment Centre or Virtual Interview You'll find hints, tips and guidance on our recruitment process on our website - Apply now for our Early Talent programmes GSK We will close this vacancy when we have enough applications, so we recommend that you apply as soon as you can so your application can be considered. You can learn more about GSK and our careers here . Apply now! We're 100% open to ALL people We're 100% open to all talent - whatever your gender, marital status, religion, age, colour, race, sexual orientation, nationality, learning difference or disability. We want to recruit the right people for GSK from the widest possible backgrounds, so we can better serve the diversity of our patients and also because it's the right thing to do. You can learn more about Inclusion and diversity at GSK here . Need help with your application? Please email us at or call us on and let us know how we can help you. 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. 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..... click apply for full job details
Sep 23, 2022
Full time
Site Name: UK - Hertfordshire - Stevenage Posted Date: Sep 5 2022 Join the GSK Industrial Placement UK Programme as a Study Delivery Lead (VEO):Help us get ahead of disease together. Education required: Undergraduate degree from an accredited university, preferably in Life Sciences e.g. Biology, Chemistry, Biomedical Sciences. Other requirements: You will have completed a minimum of 2 years of your undergraduate degree but will not have graduated at the start of your placement. You must be enrolled at a UK university for the duration of your placement. Language requirement: Written and spoken fluency in English Expected Start date: 4th September 2023 Duration: 1 year (approximately) Location: Stevenage Application deadline: Friday 14th October 2022. We will close this vacancy when we have enough applications, so we recommend that you apply as soon as you can so your application can be considered. Proposed Assessment / Interview Dates: The majority of R&D interviews will take place in the first two weeks of November Salary: A salary of £21,000, plus a bonus Are you looking to gain valuable real world work experience and help positively impact the lives of others GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together. 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. A GSK internship offers you the opportunity to kickstart your career - to take on a real role with genuine impact. You'll take on challenging tasks within live projects or assignments. You'll also get to learn from others in your team and other parts of GSK whilst developing your skills and gaining valuable experience for wherever the future takes you. Inspired to help us get ahead together?Apply for a Study Delivery Lead (VEO) Industrial Placement role at GSK today! Our approach to R&D focuses on science related to the prevention and treatment of disease with vaccines, specialty and general medicines. We focus on science of the immune system, human genetics and advanced technologies to impact health at scale. Our pipeline currently comprises of more than 60vaccines and medicines across four core therapeutic areas including oncology, infectious diseases, immunology / respiratory and HIV. Find out more: Our approach to R&D . About Value, Evidence and Outcomes (VEO) The Value, Evidence and Outcomes department is focused on generating evidence that enables us to get the right medicine to the right patient at the right time. We do this by conducting studies that demonstrate the value of our medicines to regulators (e.g. MHRA), Payers (e.g. NICE) and Healthcare Professionals, optimising patient benefit and access to GSK medicines. Our activities are wide ranging including interventional studies, non-interventional studies, registry studies, safety studies, patient interview and survey studies, economic modelling and studies using pre-existing data sources (e.g. electronic medical records, claims databases). The Study Delivery team within VEO are accountable for the on time and on budget delivery of all VEO activities to the highest scientific, quality and ethical standards. Study Delivery Lead role Within this role your day-to-day responsibilities will be supporting a Senior Study Delivery Lead to deliver a variety of evidence generation studies. Your responsibilities may include but are not limited to: Supporting the operational delivery of VEO studies (including, for example: vendor assessment and selection, feasibility assessments, vendor oversight, recruitment tracking, operational plan development) Preparation of high-quality scientific materials relating to VEO studies (including, for example: contributing to study protocols, informed consent forms, study reports) Attendance at and contribution to study team and vendor meetings. Assist with planning and tracking of study timelines and budgets. Co-ordinate key study activities such as study documentation filing, study team meetings, risk review and mitigation meetings Who are we looking for? We are looking for a student who can work well as part of a team and, as needed, independently with appropriate time management, flexibility and attention to detail. You must be reliable, enthusiastic, have a proactive attitude and be self-motivated with good written and verbal communication skills. You will be computer literate in MS Word, MS PowerPoint and Excel. It is important you are able to build strong relationships and have the ability to influence others. The ideal candidate will thrive working across multiple projects and be able to prioritise effectively. Please note: this role is office-based What do we offer you? A salary of £21,000, plus a bonus Access to GSK resources, including employee assistance programmes, private healthcare and well-being programs and pension plan membership On-the-job experience and informal training and development, delivered through a mixture of coaching, mentoring, and training programs A GSK placement which gives you the opportunity to take on a real role with genuine impact You will join a GSK Industrial Placement community of over 250 students across the UK and business areas Access to LinkedIn groups to enable the new Industrial Placement community to network and connect before start date For R&D placements you will also be enrolled in several GSK internal courses as part of company policy such as data integrity, use of internal electronic lab book, laboratory safety rules Within R&D you will have the opportunity to attend seminars by GSK scientists, which run throughout the year and comprise of a wide range of areas within drug discovery Let's do this! This opportunity has the following recruitment stages you must successfully pass to be offered a placement year with GSK for 2023: 1. Eligibility Form 2. World of GSK Online Assessment 3. Application Form 4. Virtual Assessment Centre or Virtual Interview You'll find hints, tips and guidance on our recruitment process on our website - Apply now for our Early Talent programmes GSK We will close this vacancy when we have enough applications, so we recommend that you apply as soon as you can so your application can be considered. You can learn more about GSK and our careers here . Apply now! We're 100% open to ALL people We're 100% open to all talent - whatever your gender, marital status, religion, age, colour, race, sexual orientation, nationality, learning difference or disability. We want to recruit the right people for GSK from the widest possible backgrounds, so we can better serve the diversity of our patients and also because it's the right thing to do. You can learn more about Inclusion and diversity at GSK here . Need help with your application? Please email us at or call us on and let us know how we can help you. 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. 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..... click apply for full job details
Job Profile Summary As part of a cross-disciplinary team, working closely with business partners, other data managers, product managers, data engineers, data analysts and software engineers. You will set data standards, co-design data schemas, ensure quality at the source and write code to (semi-)automate manual data processes wherever possible. Job Advert The delivery of our high value data and analytics initiatives, and the enablement of the technologies and platforms that will support those objectives is critical to achieving bp's digital ambitions. About the job: As part of a cross-disciplinary team, working closely with business partners, other data managers, product managers, data engineers, data analysts and software engineers. You will set data standards, co-design data schemas, ensure quality at the source and write code to (semi-)automate manual data processes wherever possible. You'll utilise your deep data domain knowledge and business context around data sources and data products. Work with business partners to coordinate data remediation plans to ensure data sets and data products are fit for purpose. Able to cleanse, transform, reconcile, and standardize data by creating new or modifying existing scripts / automation, to ensure high quality data is available to meet business requirements. Identify new and impactful opportunities to automate processes and collaborate with data engineers to build new tools and approaches to automate data ingestion, data integration, manipulation and quality control, where needed. Adhere to and advocate for data management best practices Have the opportunity to present results to peers and senior management, sharing your findings and influencing decision making. Create space to mentor and coach others, enabling them to grow. About you: Your experience will be hands on in data management, data governance and process automation in complex, fast-paced environments. Applied knowledge of data management and governance across all data lifecycle stages. Expert SQL knowledge. Advanced scripting experience in R or python. Foundational data pipeline building and monitoring skills. Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. Good eye for business. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Great communication and stakeholder management skills. Ability to lead large organizations through influence. A continuous learning and improvement attitude. MSc in a quantitative field. At bp, we provide the following environment & benefits: A company culture where we respect our diverse teams and are proud of our achievements Possibility to join social communities and networks A healthy work-life balance Chill-out and collaboration spaces in a modern office environment Learning and development opportunities to craft your career path Life & health insurance, medical care package And many others benefits! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Apply now! #bpDataAnalytics #LI-JL2 #datanalytics Entity Innovation & Engineering Job Family Group IT&S Group Relocation available No Travel required Negligible travel Time Type Part time Country United Kingdom About BP INNOVATION & ENGINEERING Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world. All without compromising our operational risk management. Working with us, you can do this by: • deploying our integrated capability and standards in service of our net zero and safety ambitions • driving our digital transformation and pioneering new business models • collaborating to deliver competitive customer-focused energy solutions • originating, scaling and commercialising innovative ideas, and creating ground-breaking new businesses from them • protecting us by assuring management of our greatest physical and digital risks Because together we are: • Originators, builders, guardians and disruptors • Engineers, technologists, scientists and entrepreneurs • Empathetic, curious, creative and inclusive
Oct 06, 2021
Full time
Job Profile Summary As part of a cross-disciplinary team, working closely with business partners, other data managers, product managers, data engineers, data analysts and software engineers. You will set data standards, co-design data schemas, ensure quality at the source and write code to (semi-)automate manual data processes wherever possible. Job Advert The delivery of our high value data and analytics initiatives, and the enablement of the technologies and platforms that will support those objectives is critical to achieving bp's digital ambitions. About the job: As part of a cross-disciplinary team, working closely with business partners, other data managers, product managers, data engineers, data analysts and software engineers. You will set data standards, co-design data schemas, ensure quality at the source and write code to (semi-)automate manual data processes wherever possible. You'll utilise your deep data domain knowledge and business context around data sources and data products. Work with business partners to coordinate data remediation plans to ensure data sets and data products are fit for purpose. Able to cleanse, transform, reconcile, and standardize data by creating new or modifying existing scripts / automation, to ensure high quality data is available to meet business requirements. Identify new and impactful opportunities to automate processes and collaborate with data engineers to build new tools and approaches to automate data ingestion, data integration, manipulation and quality control, where needed. Adhere to and advocate for data management best practices Have the opportunity to present results to peers and senior management, sharing your findings and influencing decision making. Create space to mentor and coach others, enabling them to grow. About you: Your experience will be hands on in data management, data governance and process automation in complex, fast-paced environments. Applied knowledge of data management and governance across all data lifecycle stages. Expert SQL knowledge. Advanced scripting experience in R or python. Foundational data pipeline building and monitoring skills. Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. Good eye for business. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Great communication and stakeholder management skills. Ability to lead large organizations through influence. A continuous learning and improvement attitude. MSc in a quantitative field. At bp, we provide the following environment & benefits: A company culture where we respect our diverse teams and are proud of our achievements Possibility to join social communities and networks A healthy work-life balance Chill-out and collaboration spaces in a modern office environment Learning and development opportunities to craft your career path Life & health insurance, medical care package And many others benefits! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Apply now! #bpDataAnalytics #LI-JL2 #datanalytics Entity Innovation & Engineering Job Family Group IT&S Group Relocation available No Travel required Negligible travel Time Type Part time Country United Kingdom About BP INNOVATION & ENGINEERING Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world. All without compromising our operational risk management. Working with us, you can do this by: • deploying our integrated capability and standards in service of our net zero and safety ambitions • driving our digital transformation and pioneering new business models • collaborating to deliver competitive customer-focused energy solutions • originating, scaling and commercialising innovative ideas, and creating ground-breaking new businesses from them • protecting us by assuring management of our greatest physical and digital risks Because together we are: • Originators, builders, guardians and disruptors • Engineers, technologists, scientists and entrepreneurs • Empathetic, curious, creative and inclusive
Job Profile Summary As part of a cross-disciplinary team, working closely with business partners, other data managers, product managers, data engineers, data analysts and software engineers. You will set data standards, co-design data schemas, ensure quality at the source and write code to (semi-)automate manual data processes wherever possible. Job Advert The delivery of our high value data and analytics initiatives, and the enablement of the technologies and platforms that will support those objectives is critical to achieving bp's digital ambitions. About the job: As part of a cross-disciplinary team, working closely with business partners, other data managers, product managers, data engineers, data analysts and software engineers. You will set data standards, co-design data schemas, ensure quality at the source and write code to (semi-)automate manual data processes wherever possible. You'll utilise your deep data domain knowledge and business context around data sources and data products. Work with business partners to coordinate data remediation plans to ensure data sets and data products are fit for purpose. Able to cleanse, transform, reconcile, and standardize data by creating new or modifying existing scripts / automation, to ensure high quality data is available to meet business requirements. Identify new and impactful opportunities to automate processes and collaborate with data engineers to build new tools and approaches to automate data ingestion, data integration, manipulation and quality control, where needed. Adhere to and advocate for data management best practices Have the opportunity to present results to peers and senior management, sharing your findings and influencing decision making. Create space to mentor and coach others, enabling them to grow. About you: Your experience will be hands on in data management, data governance and process automation in complex, fast-paced environments. Applied knowledge of data management and governance across all data lifecycle stages. Expert SQL knowledge. Advanced scripting experience in R or python. Foundational data pipeline building and monitoring skills. Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. Good eye for business. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Great communication and stakeholder management skills. Ability to lead large organizations through influence. A continuous learning and improvement attitude. MSc in a quantitative field. At bp, we provide the following environment & benefits: A company culture where we respect our diverse teams and are proud of our achievements Possibility to join social communities and networks A healthy work-life balance Chill-out and collaboration spaces in a modern office environment Learning and development opportunities to craft your career path Life & health insurance, medical care package And many others benefits! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Apply now! #bpDataAnalytics #LI-JL2 #datanalytics Entity Innovation & Engineering Job Family Group IT&S Group Relocation available No Travel required Negligible travel Time Type Part time Country United Kingdom About BP INNOVATION & ENGINEERING Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world. All without compromising our operational risk management. Working with us, you can do this by: • deploying our integrated capability and standards in service of our net zero and safety ambitions • driving our digital transformation and pioneering new business models • collaborating to deliver competitive customer-focused energy solutions • originating, scaling and commercialising innovative ideas, and creating ground-breaking new businesses from them • protecting us by assuring management of our greatest physical and digital risks Because together we are: • Originators, builders, guardians and disruptors • Engineers, technologists, scientists and entrepreneurs • Empathetic, curious, creative and inclusive
Oct 06, 2021
Full time
Job Profile Summary As part of a cross-disciplinary team, working closely with business partners, other data managers, product managers, data engineers, data analysts and software engineers. You will set data standards, co-design data schemas, ensure quality at the source and write code to (semi-)automate manual data processes wherever possible. Job Advert The delivery of our high value data and analytics initiatives, and the enablement of the technologies and platforms that will support those objectives is critical to achieving bp's digital ambitions. About the job: As part of a cross-disciplinary team, working closely with business partners, other data managers, product managers, data engineers, data analysts and software engineers. You will set data standards, co-design data schemas, ensure quality at the source and write code to (semi-)automate manual data processes wherever possible. You'll utilise your deep data domain knowledge and business context around data sources and data products. Work with business partners to coordinate data remediation plans to ensure data sets and data products are fit for purpose. Able to cleanse, transform, reconcile, and standardize data by creating new or modifying existing scripts / automation, to ensure high quality data is available to meet business requirements. Identify new and impactful opportunities to automate processes and collaborate with data engineers to build new tools and approaches to automate data ingestion, data integration, manipulation and quality control, where needed. Adhere to and advocate for data management best practices Have the opportunity to present results to peers and senior management, sharing your findings and influencing decision making. Create space to mentor and coach others, enabling them to grow. About you: Your experience will be hands on in data management, data governance and process automation in complex, fast-paced environments. Applied knowledge of data management and governance across all data lifecycle stages. Expert SQL knowledge. Advanced scripting experience in R or python. Foundational data pipeline building and monitoring skills. Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. Good eye for business. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Great communication and stakeholder management skills. Ability to lead large organizations through influence. A continuous learning and improvement attitude. MSc in a quantitative field. At bp, we provide the following environment & benefits: A company culture where we respect our diverse teams and are proud of our achievements Possibility to join social communities and networks A healthy work-life balance Chill-out and collaboration spaces in a modern office environment Learning and development opportunities to craft your career path Life & health insurance, medical care package And many others benefits! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Apply now! #bpDataAnalytics #LI-JL2 #datanalytics Entity Innovation & Engineering Job Family Group IT&S Group Relocation available No Travel required Negligible travel Time Type Part time Country United Kingdom About BP INNOVATION & ENGINEERING Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world. All without compromising our operational risk management. Working with us, you can do this by: • deploying our integrated capability and standards in service of our net zero and safety ambitions • driving our digital transformation and pioneering new business models • collaborating to deliver competitive customer-focused energy solutions • originating, scaling and commercialising innovative ideas, and creating ground-breaking new businesses from them • protecting us by assuring management of our greatest physical and digital risks Because together we are: • Originators, builders, guardians and disruptors • Engineers, technologists, scientists and entrepreneurs • Empathetic, curious, creative and inclusive
Job description We currently have an opportunity for an Enterprise Data Architect to join our IT team in London. The Enterprise Data Architect will ensure A&O has focus on and maintains an enterprise data governance framework for data policies, standards, process and practices, across A&O, to achieve the required level of consistency and quality to meet A&O business needs. The role will be the custodian of data, setting the vision for A&O's use of data and will manage A&Os data catalogue to improve the quality and value of core data assets, respond to regulatory requirements as well as support strategic functional requirements. The role will manage the way that people and programs engage with data, ensuring that data can be turned into valuable insights that inform business decisions. The role holder will consistently communicate the business benefit of data standards and will champion and govern those standards across the firm. The role holder will ensure internal procedures keep pace with evolving data regulation and compliance. Role and responsibilities Manage and govern a unified view of A&O data, its data linage and provenance Govern and manage the A&O data catalogue across all data assets. Ensure data is discoverable, well understood, and trusted Drive innovation and growth through the use of data, unlocking data for insightful business decisions Help establish best practice, rules and ownership of A&Os taxonomy and ontology Build and maintain good working-relationships across A&Os Data Stewards to ensure internal stakeholders and leaders are informed and aligned Create a Data Governance and Quality function, including processes and tools to achieve A&Os data objectives Define a proactive approach to the management of data models, definitions, data governance, ethics and data processing rules to provide timely, appropriate, accurate and up-to-date information at the point of need Actively use the trends in data quality and data governance to drive positive change in people, process, technology and governance Develop and be responsible for the standards, policies and procedures for the on-going implementation of data governance Ensure alignment between data governance best practice, Data Privacy procedures and requirements and the IT Information Security strategy Work closely with and set direction for the Trusted Data Platform team, staying close to opportunities and challenges that exist within A&O, provide guidance on new products, approaches and supplier relationships that could impact data collection, processing and analytics Key requirements Business Competencies Aptitude for and experience of creating, managing, motivating and developing teams Commercial acumen including an understanding of the overall picture of how the IT service costs and value add to the business Excellent communication, interpersonal and influencing skills, including the ability to communicate both on technical and business levels. Excellent customer-facing skills with a good grasp of key drivers and requirements within the Business. High level of personal credibility, impact and influence with proven ability to work effectively and persuasively at all levels of the business Knowledge & Experience Knowledge and awareness of business and technology issues related to the management of enterprise wide data Expert level data modelling experience. Including a deep understanding of relational, taxonomical and ontological modelling approaches Strong recent experience of developing and managing an enterprise data catalogue Proven experience of developing and implementing a Data Governance Framework and a Data Quality Management service Keen eye for detail with a genuine interest in understanding the journey data takes throughout A&O Demonstrable experience in building, delivering and managing detailed data quality measurement frameworks Comfortable presenting complex data models, flows and relationships to non-data peers and colleagues An expert in information management practices including information lifecycle management, data profiling, master data management, data audits and requirements gathering Clear knowledge and experience relating to the application of data governance, data privacy and data ethics principles to support and drive data strategy Evidence of establishing governance processes, with engaged teams, leading and implementing enterprise-wide data governance and demonstrable improvements in data quality Preferable: Knowledge and experience relating to MLOps, testing and quality management Preferable: Experienced in managing, versioning and automating data and systems Preferable: Experience of unstructured and semi-structured data and associated processing approaches. NLP and Machine learning experience a distinct advantage. Preferable: Experienced at using relevant frameworks such as GDPR and other data privacy regulations to drive data governance ethics Preferable: Experience using automated approaches to manage and support data privacy compliance Is a collaborative team player fostering strong working relationships, with strong culture awareness Strong leadership and influencing skills; interacting with senior stakeholders; highly personable Strong ability to extract information by questioning, active listening and interviewing Results orientated to ensure change and delivery project metrics are meaningful and supported with robust business data Analytical with strong numeracy and good statistical skills Experience of working in Agile project environments Ability to work with technical, (developers, data engineers, data scientists) and nontechnical staff Allen & Overy LLP is committed to being an inclusive employer and we are happy to consider flexible working arrangements. Additional information - External It's Time Allen & Overy is a leading global law firm operating in over thirty countries. By turning our insight, technology and talent into ground-breaking solutions, we've earned a place at the forefront of our industry. Our lawyers are leaders in their field - and the same goes for our support teams. Ambitious, driven and open to fresh perspectives, we find innovative new ways to deliver our services and maintain our reputation for excellence, in all that we do. The nature of law is changing and with that change brings unique opportunities. With our collaborative working culture, flexibility, and a commitment to your progress, we build rewarding careers. By joining our global team, you are supported by colleagues from around the world. If you're ready for a new challenge, it's time to seize the opportunity.
Sep 15, 2021
Full time
Job description We currently have an opportunity for an Enterprise Data Architect to join our IT team in London. The Enterprise Data Architect will ensure A&O has focus on and maintains an enterprise data governance framework for data policies, standards, process and practices, across A&O, to achieve the required level of consistency and quality to meet A&O business needs. The role will be the custodian of data, setting the vision for A&O's use of data and will manage A&Os data catalogue to improve the quality and value of core data assets, respond to regulatory requirements as well as support strategic functional requirements. The role will manage the way that people and programs engage with data, ensuring that data can be turned into valuable insights that inform business decisions. The role holder will consistently communicate the business benefit of data standards and will champion and govern those standards across the firm. The role holder will ensure internal procedures keep pace with evolving data regulation and compliance. Role and responsibilities Manage and govern a unified view of A&O data, its data linage and provenance Govern and manage the A&O data catalogue across all data assets. Ensure data is discoverable, well understood, and trusted Drive innovation and growth through the use of data, unlocking data for insightful business decisions Help establish best practice, rules and ownership of A&Os taxonomy and ontology Build and maintain good working-relationships across A&Os Data Stewards to ensure internal stakeholders and leaders are informed and aligned Create a Data Governance and Quality function, including processes and tools to achieve A&Os data objectives Define a proactive approach to the management of data models, definitions, data governance, ethics and data processing rules to provide timely, appropriate, accurate and up-to-date information at the point of need Actively use the trends in data quality and data governance to drive positive change in people, process, technology and governance Develop and be responsible for the standards, policies and procedures for the on-going implementation of data governance Ensure alignment between data governance best practice, Data Privacy procedures and requirements and the IT Information Security strategy Work closely with and set direction for the Trusted Data Platform team, staying close to opportunities and challenges that exist within A&O, provide guidance on new products, approaches and supplier relationships that could impact data collection, processing and analytics Key requirements Business Competencies Aptitude for and experience of creating, managing, motivating and developing teams Commercial acumen including an understanding of the overall picture of how the IT service costs and value add to the business Excellent communication, interpersonal and influencing skills, including the ability to communicate both on technical and business levels. Excellent customer-facing skills with a good grasp of key drivers and requirements within the Business. High level of personal credibility, impact and influence with proven ability to work effectively and persuasively at all levels of the business Knowledge & Experience Knowledge and awareness of business and technology issues related to the management of enterprise wide data Expert level data modelling experience. Including a deep understanding of relational, taxonomical and ontological modelling approaches Strong recent experience of developing and managing an enterprise data catalogue Proven experience of developing and implementing a Data Governance Framework and a Data Quality Management service Keen eye for detail with a genuine interest in understanding the journey data takes throughout A&O Demonstrable experience in building, delivering and managing detailed data quality measurement frameworks Comfortable presenting complex data models, flows and relationships to non-data peers and colleagues An expert in information management practices including information lifecycle management, data profiling, master data management, data audits and requirements gathering Clear knowledge and experience relating to the application of data governance, data privacy and data ethics principles to support and drive data strategy Evidence of establishing governance processes, with engaged teams, leading and implementing enterprise-wide data governance and demonstrable improvements in data quality Preferable: Knowledge and experience relating to MLOps, testing and quality management Preferable: Experienced in managing, versioning and automating data and systems Preferable: Experience of unstructured and semi-structured data and associated processing approaches. NLP and Machine learning experience a distinct advantage. Preferable: Experienced at using relevant frameworks such as GDPR and other data privacy regulations to drive data governance ethics Preferable: Experience using automated approaches to manage and support data privacy compliance Is a collaborative team player fostering strong working relationships, with strong culture awareness Strong leadership and influencing skills; interacting with senior stakeholders; highly personable Strong ability to extract information by questioning, active listening and interviewing Results orientated to ensure change and delivery project metrics are meaningful and supported with robust business data Analytical with strong numeracy and good statistical skills Experience of working in Agile project environments Ability to work with technical, (developers, data engineers, data scientists) and nontechnical staff Allen & Overy LLP is committed to being an inclusive employer and we are happy to consider flexible working arrangements. Additional information - External It's Time Allen & Overy is a leading global law firm operating in over thirty countries. By turning our insight, technology and talent into ground-breaking solutions, we've earned a place at the forefront of our industry. Our lawyers are leaders in their field - and the same goes for our support teams. Ambitious, driven and open to fresh perspectives, we find innovative new ways to deliver our services and maintain our reputation for excellence, in all that we do. The nature of law is changing and with that change brings unique opportunities. With our collaborative working culture, flexibility, and a commitment to your progress, we build rewarding careers. By joining our global team, you are supported by colleagues from around the world. If you're ready for a new challenge, it's time to seize the opportunity.