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These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Applies technical ability to direct a comprehensive and outcome driven data strategy for a given AI project in the context of the annotation datasets Establishes and applies product thinking to data to provide the right capabilities to consumers at the right time Functions as a central resource with other Bloomberg functions (e. We'll get in touch to let you know what the next steps are!

You will collaborate with the Lead Data Scientist to support business machine learning initiatives, maintain and enhance existing models, analyse data for actionable insights, and contribute to the development of new machine learning solutions. Work with the developer team on data and statistics-related tasks to support various projects, using Agile or Kanban methodologies. Strong problem-solving and communication skills, with the ability to quickly learn new domains. Join our expert team in survey design, sampling methodologies, and data science, we leverage cutting-edge technology to provide our clients with seamless access to real people and unparalleled insights. Profiles currently holds a 10% share in the $3b panel industry but we have ambition, a robust 3-year business plan and the financial backing of our private equity owners (Bain Capital) to grow to be the #1 player in this sector. We're dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, and we encourage applications from all backgrounds and sections of society.

Collaborating closely with the Lead Data Scientist, the role focuses on generating actionable insights, improving reports, and contributing to analytical and machine learning initiatives. Machine Learning Support: Assist in the development and implementation of machine learning models and algorithms. Strong analytical and problem-solving skills, with an emphasis on practical solutions and clear reporting. Join our expert team in survey design, sampling methodologies, and data science, we leverage cutting-edge technology to provide our clients with seamless access to real people and unparalleled insights. Profiles currently holds a 10% share in the $3b panel industry but we have ambition, a robust 3-year business plan and the financial backing of our private equity owners (Bain Capital) to grow to be the #1 player in this sector. We're dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, and we encourage applications from all backgrounds and sections of society.

By giving you the freedom to grow faster, we think you'll be able to do what you do best, better, which should help us to find fresh ways to get to know the earth better. Competitive salary accompanied by an attractive package including a contributory pension scheme Option to lease an electric car. Acquisition to Fugro Recruitment or any Fugro employee is not appreciated.

As the Data Analyst for Knowledge which includes History Extra and Gardeners World brands, you will play a vital part in contributing to their strategies in respect to analysis and insight generation, BAU reporting as well as helping to deliver the Data & Analytics Team vision. Recommend data-driven actions to enhance user engagement, retention and increase registrations & subscriptions Push the business forward up the analytics maturity curve by innovating new ways to analyse, model and predict behaviour. Our offices will be closed between Christmas and New Year's which are in addition to your annual entitlement Tailored training and development through our Love Learning platform A progressive and transparent culture with clear career progression Flexible / hybrid working plus early finish Fridays Cycle to work scheme Enhanced Family Policies including paternity, adoption and surrogacy leave. People are at the heart of our business and creating a diverse and inclusive working environment is extremely important to us.

You'll work closely with Brand MDs, Editorial Directors, and stakeholders in Product & Tech to analyse audience behaviour, content types, product features, and user journeys on our web and app platforms. Ability to work effectively across multiple teams and senior stakeholders. Our offices will be closed between Christmas and New Year's which are in addition to your annual entitlement Tailored training and development through our Love Learning platform A progressive and transparent culture with clear career progression Flexible / hybrid working plus early finish Fridays Cycle to work scheme Enhanced Family Policies including paternity, adoption and surrogacy leave. People are at the heart of our business and creating a diverse and inclusive working environment is extremely important to us.

Role Responsibilities As a Capacity Planning & Data Analyst you will play a pivotal role in enhancing the efficiency of baggage handling systems, ensuring smooth and seamless travel experiences for millions of passengers and contribute to the success of Vanderlande's mission to revolutionise airport logistics. Collaborate with senior planners to adjust operational plans based on anticipated passenger volumes and baggage loads Collect, clean, and validate operational data from various sources, including baggage handling systems, airport traffic reports, and other relevant databases. Cycle to work scheme Pension with Aviva Access to Achievers an award-winning recognition platform that inspires to recognise your coworkers Where points are awarded that can be exchanged for a range of goods and discounts. If you feel there is a barrier that potentially prevents you from applying, we are always happy to discuss or explore, any reasonable adjustments can be made to support your application.

Adept at managing system implementations across various stages of development, the Senior Data Scientist, Recommendations should be as comfortable with early-stage Proof of Concept advocacy, project management, and internal workflow creation, as with introducing ML Ops practices and enhancing existing projects with more sophisticated methods. This includes pipeline design and continuous improvement schemes through machine learning Able to effectively manage existing code base, document past experiences, automate processes, and create feedback loops Lead junior/mid data scientists inside/outside of the team who works on recommendation projects. Experience with the management of ML code base and experimentation result in an organized and efficient manner. Practical experience in ML ops, such as Python packaging, Docker/Kubernetes, CI/CD, deployment and monitoring of ML models' performance. With unconscious bias training, D&I workshops and a variety of initiatives to give our employees the opportunity to be heard and be part of that change to achieve real equality.

We work as a team, and we're proud of the difference we make to customers, local communities, and towards a sustainable future for the world. Promote a culture of teamwork, innovation, and collaboration within the wider data and commercial functions. A commitment to fostering a diverse and inclusive team environment where everyone can thrive. We encourage everyone to be themselves at work because we know that's how we do our best, for each other, for our customers, for the communities where we work, and for our careers.

The Network Technician will work closely with both internal customers and external vendors to facilitate smooth project execution in association with Technical Program Managers. This position will work with minimum supervision to drive the stability and sustainability of our next-generation networks and to assist in the development of innovative ways to automate and scale our network as we expand. Network Technicians are expected to work with established best practices to refine operational procedures, develop new tooling and constantly think proactively and innovatively. - Have functional knowledge and disciplines for fiber optic and network cabling and labeling conforming to AWS standards. A day in the life A day in the life of an ID Technician is exciting and varies from day to day with a range of responsibilities, including patching fibre connections, troubleshooting link issues using our internal applications with careful planning, especially when spanning across separate data centers in different regions. About the team A day in the life of an ID Technician is exciting and varies from day to day with a range of responsibilities, including patching fibre connections, troubleshooting link issues using our internal applications with careful planning, especially when spanning across separate data centers in different regions. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. - Possess TCP/IP networking knowledge and a broad understanding of infrastructure technologies with proficientcy in network cabling, optic types, and test equipment, including VFL, power meter, and OTDR, familiarity with cabling best practices and methodologies, and the ability to troubleshoot networking, routing, and connectivity issues, including network device configuration, application interaction, and cabling infrastructure connectivity. jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.