151 Big Data jobs

Reporting to the PI Research Informatics (Dr Brian Marsden), the successful candidate will be responsible for devising and managing the delivery of novel data capture, curation and sharing solutions by the SGC Oxford Research Informatics team from target through protein production, structure determination and chemical biology to support our international programmes. You will have a PhD in a relevant scientific subject, work directly with senior scientists and directors across the SGC’s six sites around the world to identify and deliver solutions at scale whilst also engaging with our industrial partners and collaborators to ensure that the SGC is able to capture the broad range of data to enable open-access sharing of SGC outputs to the scientific community at large. You will be responsible for direct interactions with strategic partners including ChEMBL, OpenTargets, Genomics England as well as development of new technologies with our collaborators at MolSoft LLC. As such, an ability to think creatively and communicate clearly with both developers and scientists at all levels along with experience of managing a diverse team will be important. This position is full-time on a fixed-term contract until 30 June 2022 funded by the Department. The SGC (Structural Genomics Consortium) catalyses research in new areas of Human biology by explicitly focusing on less well-studied areas of the Human genome.  We are looking for an individual with a proven track record of managing and developing informatics solutions to support the SGC’s work and our future plans for significantly scaling-up discovery of chemical probes, chemogenomic libraries and target-enabling packages ( www.thesgc.org/tep ). This position presents a unique opportunity for candidates who possess significant coding and database experience combined with a strong understanding of early-stage drug discovery who want to play a direct role in driving the success of a highly-regarded international organisation in catalysing the discovery of new Human biology and new drug targets. Applications for this vacancy are to be made online, and as part of the application you will be required to upload a CV and supporting statement. Please quote reference 143500  on all correspondence. Only applications received by 12.00 noon on Monday 11 November 2019 will be considered.

Description We’re passionate about investing in our future talent so we’re looking for inquisitive, ambitious and committed graduates to join our pioneering innovation team. With some people calling the world today Industry 4.0 or the Fourth Industrial Revolution – we are continually exploring ways in which we can use technologies such as robotics and artificial intelligence to provide our customers with more effective supply chain solutions. During the two year scheme you will work directly with the Global Innovation Director and the Digital and Technical Innovation Managers to provide research, analysis and insights into our key innovation projects. Our projects range from developing cloud based digital platforms to harnessing the power of AI and data science in our supply chain functions. You will also be exploring R&D grants with leading universities and institutes across the globe, as well as creating and delivering engaging presentations about new ideas and research findings to the rest of your team. Key Responsibilities What we will need from you… A passion for researching new technologies A “can do” attitude to solve problems Ambitious & self-driven Happy to work with numbers Enthusiasm to create and deliver engaging presentations to explain new ideas to the team MS and Data Wizardry Great communication skills Ability to work effectively in a team Excellent organisational skills No restrictions on your location / mobility Adaptability, flexibility and resilience

QinetiQ is a leading science and engineering company operating primarily in the defence, security and critical infrastructure markets. We offer our customers world-class expertise through our services and innovative technology-based products. Our people proactively understand our customers’ current and future needs and create and enable solutions at greater pace to meet current, adjacent and emergent threats. Why don’t you join some of the world’s finest scientific and technical minds and help us make tomorrow work today? Job description/Person specification Location:   Malvern Employment Type:   Full Time – Permanent Salary:   £26,500 per annum + Bonus Schemes + Benefits Start Date:   September 2020 Profile In the Analysis, Modelling & Simulation discipline we are looking for graduates become part of wider team of Mission Systems experts who influence the way mission systems are designed and operate in increasingly complex environments. You will develop the skills needed to contribute to the delivery of a wide range of programmes, primarily for military or government customers. Duties & Responsibilities Simulating electromagnetic propagation using Maxwell’s equations; Developing machine vision algorithms to automatically recognise objects using various approaches including deep learning; Development of tools and models to validate solutions or improve efficiency and in sensing, communications or navigation; Undertaking complex signal processing to form images, often from big data (e.g. terabyte data collections); Designing, building or flying bespoke modern RF systems such as our recent multi-quadcopter radar system. Joining QinetiQ you will: Work in a variety of teams applying innovative thinking and novel approaches to analysis techniques Be challenged to be creative and innovative, developing a broad understanding of your chosen subject areas Be part of a two year graduate programme allowing you to develop your technical expertise whilst getting the opportunity to experience a wider range of experience as well Get access to training to develop your technical and leadership skills Get the opportunity to support community projects, for example acting as a STEM ambassador to local schools Entry Requirements To apply for the role you MUST meet the following criteria; Have attained, or are about to attain a minimum of a 2:1 Bachelor’s degree in a science, technology, engineering or mathematics (STEM) subject Be willing to learn, and have demonstrated an aptitude for learning at pace Hold full British Citizenship Have a keen interest in technology and engineering, including areas such as: Mathematical modelling and simulation Algorithm design and development Scripting and programming (e.g. Python, MATLAB, IDL or C/C++) Digital signal processing and data fusion Machine learning and Artificial Intelligence. Please be aware that this role is subject to both security & export control restrictions. These restrictions mean that you must hold full British citizenship and obtain the right to stay and work within the UK. Holding dual nationality may restrict the roles that you can perform within QinetiQ. QinetiQ Benefits As well as the opportunity to work in a company at the forefront of the technology sector you will also receive: Flexible Employee Benefits Annual Salary Review Recognition Scheme, volunteering - helping charities & local communities Up to 50% discount on meals across a wide range of restaurants Up to 15% off high street stores and 40% off cinema tickets Buy and sell annual leave, flexible working, social events, employee assistance 24/7 Gym and sports facilities on larger sites 25 days standard annual leave + bank holidays Cycle to work scheme Much more!

QinetiQ is a leading science and engineering company operating primarily in the defence, security and critical infrastructure markets. We offer our customers world-class expertise through our services and innovative technology-based products. Our people proactively understand our customers’ current and future needs and create and enable solutions at greater pace to meet current, adjacent and emergent threats. Why don’t you join some of the world’s finest scientific and technical minds and help us make tomorrow work today? Job description/Person specification Location:   Malvern Employment Type:   Full Time – Permanent Salary:   £26,500 per annum + Bonus Schemes + Benefits Start Date:   September 2020 Profile In the Analysis, Modelling & Simulation discipline we are looking for graduates become part of wider team of Mission Systems experts who influence the way mission systems are designed and operate in increasingly complex environments. You will develop the skills needed to contribute to the delivery of a wide range of programmes, primarily for military or government customers. Duties & Responsibilities You’ll be contributing to some of most challenging science and technology programmes in the UK and could be responsible for: Assessing performance through data and statistical analysis. Development of tools and models to improve efficiency and answer complex problems. Innovative thinking and novel approaches to analysis techniques. Adapting and applying knowledge to unfamiliar domains. Joining QinetiQ you will: Work in a variety of teams that deliver cutting-edge solutions on advanced platforms and systems. Be challenged to be creative and innovative, developing a deep understanding of information and data flow and exploitation. Be part of a two year graduate programme allowing you to develop your technical expertise whilst getting the opportunity to experience a wider range of experience as well Get access to training to develop your technical and leadership skills Get the opportunity to support community projects, for example acting as a STEM ambassador to local schools Entry Requirements To apply for the role you MUST meet the following criteria; Have attained, or are about to attain a minimum of a 2:1 Bachelor’s degree in a science, technology, engineering or mathematics (STEM) subject Be willing to learn, and have demonstrated an aptitude for learning at pace Hold full British Citizenship Have a keen interest in technology and engineering, including areas such as: Simulation, operational analysis and synthetic environments. Machine learning and Artificial Intelligence. Communication systems and techniques, including datalinks Scripting and programming (e.g. Python, MATLAB). Please be aware that this role is subject to both security & export control restrictions. These restrictions mean that you must hold full British citizenship and obtain the right to stay and work within the UK. Holding dual nationality may restrict the roles that you can perform within QinetiQ. QinetiQ Benefits As well as the opportunity to work in a company at the forefront of the technology sector you will also receive: Flexible Employee Benefits Annual Salary Review Recognition Scheme, volunteering - helping charities & local communities Up to 50% discount on meals across a wide range of restaurants Up to 15% off high street stores and 40% off cinema tickets Buy and sell annual leave, flexible working, social events, employee assistance 24/7 Gym and sports facilities on larger sites 25 days standard annual leave + bank holidays Cycle to work scheme Much more!

Data Scientist Graduate Programme London Becoming a Data Scientist with Capita Consultancy: This 18-month structured graduate programme will see you work with inspirational industry leaders to build technical skill, business knowledge and core soft skills in order to become one of our future leaders. You’ll be trusted with high level responsibility and client interaction as you work on innovative, exciting and challenging projects. We’ll support you every step of the way with continuous feedback, leading training and regular coaching and mentoring as part of your personal development and feedback. Joining our Data Scientist Graduate Programme you’ll work on lots of exciting new technology initiatives, like chatbots, block chain, knowledge mining and artificial intelligence. Using an Agile lifecycle, you’ll design, develop, build and deploy new propositions. As part of a cohort of graduates, you’ll have regular social events to attend. Please note: this graduate programme may involve travel away from your main office, so you’ll need to be happy occasionally staying over when required. What you’ll be doing: Supporting other members of the team on projects from start to finish, you will: Support clients with their activities on our data science platform. Assist in applying advanced predictive analytics and machine learning algorithms to extensive data sets. Research into new methodologies and techniques. Work with experts on interdisciplinary projects using ML and NLP to derive structure and insight from raw data across various industry sectors. Set your own learning objectives (with support from your managers), reflect on your development and suggest how you could learn more. Learn through training resources. What we’re looking for: A degree in a STEM subject. Related experience through paid work, work experience, education or training. Programming experience in at least two of the following languages: Python, R, Spark or SQL. A strong understanding of ML techniques and algorithms. Enthusiasm and some knowledge of data science techniques and practices. Experience in apply data science methods to business problems would be useful, but is not essential. About Capita Consultancy Capita Consultancy is at the forefront of innovation in digital, data analytics and AI, improving the lives of UK citizens and enhancing the performance of our enterprise clients across public and private sectors. Joining the Capita Consultancy Graduate Programme will be an opportunity to unleash your brilliance and a make a real difference to the lives of people around you. We are disrupting the consulting industry. We continue to grow and we need fantastic people and top talent to join our exciting journey and have some fun! Capita Consultancy   are part of Capita Plc, a leading UK provider of technology enabled business services. We’re supporting and improving the lives of millions of people every day and we can only do this with the right people in place, working towards a shared goal. We encourage an open, honest working environment where everyone can be true to themselves and people are valued for their differences. We’re always challenging each other to learn and improve, because we know when we work together, we can deliver better outcomes. We work across such a huge range of businesses and sectors, that you’ll have the opportunity to grow and develop your career in any number of directions. What’s in it for you? A competitive salary + benefits. 25 days holiday (rising to 27) with the opportunity to buy extra leave. Company matched pension, life assurance, a cycle2work scheme, 15 weeks’ fully paid maternity, adoption and shared parental leave…and plenty more. Voluntary benefits designed to suit your lifestyle – from discounts on retail and socialising, to health & wellbeing, travel and technology. You’ll get the chance to follow your chosen career path anywhere in Capita, in particular in our Consulting division in our innovative and technology hubs. You’ll be joining a network of experienced, innovative and dedicated individuals across multiple disciplines and sectors. There are countless opportunities to learn new skills and develop in your career, and we’ll provide the support you need to do just that. Our purpose is to create a better outcome for you. What we hope you’ll do next: Choose ‘Apply now’ to submit your CV and a short supporting statement, so that we can find out more about you. Please include your extracurricular activities and additional responsibilities and you will need to attach a short submission responding to the following question in no more than 500 words: ‘why do you want to work for Capita Consulting and what interests you about the profession?’ There is also the opportunity for you to attach your portfolio of work, should you wish to showcase this as part of your application. If you’re successful there will be a telephone or video interview, followed by an assessment centre comprised of a face-to-face interview, group exercise, written exercise and presentation. We expect to close applications by 18th October and for the first round of interviews to be completed by 15th November. Assessment centres will have taken place by the week commencing 2nd December. Offers will be made by the 9th December. The start date will be mid-January 2020. If you have any questions you’d like to ask before applying, please contact Danny Cash at Capita Internal Resourcing by emailing Danny.Cash@capita.co.uk. We’re an equal opportunity employer, which means we will consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and their passion for creating better outcomes.

Business Line:   Environment Locations:   Basingstoke Salary:   Competitive Opening Date:   20 September - please apply straight away because we review CVs and select candidates on a rolling basis ABOUT AECOM AECOM is built to deliver a better world. We design, build, finance and operate infrastructure assets for governments, businesses and organisations in more than 150 countries. As a fully integrated firm, we connect knowledge and experience across our global network of experts to help clients solve their most complex challenges. From high-performance buildings and infrastructure, to resilient communities and environments, to stable and secure nations, our work is transformative, differentiated and vital. A Fortune 500 firm, see how we deliver what others can only imagine at aecom.com and @AECOM. ABOUT YOU AECOM’s Geospatial & Data Services team is looking for an enthusiastic GIS Developer / Data Trainee to join our busy team of specialists in Basingstoke, Hampshire. This is a full time, permanent role in a team of more 30 staff located in offices across the UK and Ireland. It not only requires a good understanding of web development, database systems and desktop office systems but also the use of Python in ESRI ArcGIS, FME and QGIS. You’ll provide critical GIS input to delivering projects on time and budget, and be responsible for helping to develop new tools, databases and applications, as well as maintaining existing systems. You will be paired with an experienced member of the team who will guide and mentor you as you start working on live projects. Your initial role will to assist with the completion of tasks such as: Data capture, management, analysis and validation Data conversion and integration Map production Spatial and 3D analysis Design and build spatial and non-spatial databases Use of coding, automation and technology to efficiently deliver workflows and provide innovation into projects Meeting with internal clients to determine GIS requirements You’ll be innovative and creative with strong interpersonal communication skills, and you’ll be comfortable working independently and as part of an interdisciplinary multi-cultural team. Although you’ll be based in Basingstoke, you may occasionally work from other AECOM or client offices depending on project requirements. ABOUT US Our focus is providing GIS and data management expertise on large environmental and infrastructure projections, as well as developing systems – such as mobile data capture, creation of toolsets for analysis or data analysis platforms – so other AECOM disciplines can carry out their work. Recent development projects carried out by the Geospatial & Data Services team include: Land access and survey request website for a large infrastructure project Analysis toolset in SQL Server to assist in SHLAA Site Assessments Arboriculture survey data import system, using Arc PAD, Sharp Map and SQL Server to process data ready for reporting Web and database tools to improve QA / QC processes on a city-wide cycle infrastructure capture project The team supports a wide range of projects, with current projects including high-profile major transport and infrastructure schemes, conventional and renewable power developments, industrial and commercial development projects, as well as GIS / data management projects led directly by the Geospatial & Data Services team. Geospatial & Data Services is part of AECOM’s Environment business. AECOM’s planners, economists, designers, environmental specialists, architects, engineers, programme managers and technicians work collaboratively to address complex challenges at all scales. We regenerate urban areas, cities and regions; we create distinctive buildings and public spaces; we plan for the management of open space and natural systems; and we design and deliver infrastructure programmes. TRAINING AECOM invest heavily in the quality of our Trainees and the development opportunities provided enabling learning from some of the most talented and renowned experts in their field whilst bringing fresh approaches and further diversifying our workforce. AECOM provides the opportunity to develop professionally whilst working within a positive environment, where learning and development is actively promoted and supported. Minimum Requirements Level 4 in computer programming Good problem-solving skills Excellent communication skills in written and spoken English Exemplary focus, ambition and attention to detail General GIS analysis Provide dynamic and innovative solutions GIS degree or a related field (relevant MSc is desirable) or a degree in Computer Science with a GIS background Experience in all or some of the following: o SQL server (querying, spatial functions, TSQL, triggers, reporting services etc) o Web design and development using JavaScript , ASP.NET Web Forms and MVC o Microsoft C# o VBA (Excel and Access) o Python o Leaflet / ArcGIS Server JavaScript API (desirable) o Experience of DevExpress ASP.NET controls (desirable) Solid foundation in ArcGIS desktop software and extensions Sound understanding of spatial data structures and fundamental concepts of GIS Ability to complete work with GIS best practice and corporate standards in mind Ability to liaise with clients to promote GIS and deliver high-quality GIS input into their projects Able to work both on your own and with the wider GIS/project team based in multiple locations Proficient in the delivery of allocated project tasks to quality, time and budget requirements Proficient in using Microsoft Office (Word, Excel, Access) Preferred Qualifications Experience of working with environment- and planning-related datasets Experience with working and controlling large number of evolving datasets Exposure to developing and maintaining web GIS and / or enterprise GIS technologies Exposure to developing and using mobile and GPS survey applications What We Offer When you join AECOM, you become part of a company that is pioneering the future . Our teams around the world are involved in some of the most cutting-edge and innovative projects and programs of our time, addressing the big challenges of today and shaping the built environment for generations to come. We ensure a workplace that encourages growth, flexibility and creativity, as well as a company culture that champions inclusion, diversity and overall employee well-being through programs supported by company leadership. Our core values define who we are, how we act and what we aspire to, which comes down to not only delivering a better world , but working to “make amazing happen” in each neighborhood, community and city we touch. As an Equal Opportunity Employer, we believe in each person’s potential, and we’ll help you reach yours.

As a Data Scientist within our Operations Quality function you will work with meaningful data to generate impactful evidence and insights on our Operations Quality System and the impact Quality System performance is having on our wider Operations and Enterprise goal. You will support advances in understanding of our Global Business Processes and enable Business Process Owners to drive targeted improvement activities to meet and exceed wider Operations business priorities. You will collaborate with peers within the Quality function and across the organization to develop data science generation strategies, identify gaps and data sources, design and execute studies, and implement analyses to address business and product related questions. The data will be varied in type, covering Quality System, Manufacturing, Forecasting, Financial, HR and Health & Safety Data across Late Stage Drug Development and into Commercial Manufacturing. The purpose of Operations Quality Business Intelligence Team is to partner with Operations Quality Business Process Owners, Operations Quality Site Contacts and Analytics Functions across the AstraZeneca Operations Organization to improve data capture, management, reporting and analytics. The ambition of the Operations Quality Business Intelligence Team is to provide world-class Business Intelligence and Advanced Analytics delivery that accelerates improvements across our Pharmaceutical Quality System by enabling Strategic Decision Making. The evidence and insights generated y the Data Scientist will be used to inform product and quality system improvement strategies and initiatives, you will also contribute to functional, cross functional, enterprise-wide or external initiatives that shape AstraZeneca's Data & Analytics approaches. This will require a good understanding of the pharmaceutical and healthcare environments, as well as strong scientific and technical data science expertise. You will need strong strategic, collaboration and communication skills, as well as an entrepreneurial mindset, to transform the way we use data and analytics to develop and deliver medicines for our patients, and partner with cross-functional teams and external partners with considerable independence. Key Accountabilities IDENTIFY ADVANCED ANALYTICS NEEDS & RECOMMEND DATA SOLUTIONS: Ask the right scientific questions, understand the data requirements and make recommendations on fit-for-purpose data and analytics solutions. DEVELOP DATA STRATEGY & GAIN ACCESS TO DATA: Develop strategic plans to access internal cross functional data sources to support advanced analytics needs, and gain access to data through collaboration and data generation. DIVE INTO DATA: Develop a comprehensive and deep understanding of the data we work with and foster learning with colleagues using analytical tools and applications to broaden data accessibility and advance our proficiency/efficiency in understanding and using the data appropriately. BE AN EXPERT IN APPLYING METHODS: Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches. PRODUCE HIGH QUALITY ANALYSES: Apply rigor in design and analytical methods; plan for data processing; design a fit-for-purpose analysis plan, assess effective ways of presenting and delivering the results to maximize impact and interpretability; ensure compliance with applicable pharma industry regulations and standards. INTERPRET AND SHARE RESULTS: Communicate findings to internal stakeholders, and wider business communities COLLABORATE & SHAPE: Collaborate and contribute to functional, cross-functional, enterprise-wide or external data science communities, networks, collaboratives, initiatives or goals on knowledge-sharing, methodologies, innovations, technology, IT infrastructure, policy-shaping, processes, etc. to enable broader and more effective use of data and analytics to support business. Required Skills & Knowledge Msc, or PhD (desirable) degree in a quantitative discipline Fluency in statistical programming languages (R, Python, etc.) Experience implementing advanced Analytics approaches (machine learning, longitudinal data analysis, etc.) Experience with technologies required to undertake analyses on large data sources or with computationally intensive steps (SQL, parallelization, Hadoop, Spark, etc.) Experience producing interactive outputs (Shiny, etc.) Contributor to open source packages, libraries or functions Experience implementing reproducible Research practices like version control (e.g.,using Git) and literate programming Demonstrated track record of developing and execution of data science projects Demonstrated experience with managing project scope and driving delivery in an evolving environment requiring proactivity and effective problem-solving and prioritization when faced with challenges AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, gender or gender orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.

Want to get your career off to a flying start? The sky’s the limit with TUI. We’re the world's number one tourism business, operating in around 180 destinations worldwide, which means limitless global opportunities for you and your future. As a graduate in our Analytics and Data Science teams, you’ll spend two invaluable years working right at the heart of our business – with real responsibilities, and the chance to work on real projects. You’ll gain a unique insight into our exciting and dynamic industry, with exposure to many other functional areas and senior colleagues, as well as the opportunity to enhance your professional skills through an extensive and tailored programme of learning and development. You’ll have lots of fun during your time with us, and we’ll ensure you get the support you need every step of the way. And, when you join our Analytics and Data Science Graduate Programme, you’ll be joining TUI as a permanent colleague – moving into a role with one of the teams you’ve worked with during the programme once you’ve finished your rotations. What you will be doing We see the application of analytical techniques and data-based decision-making as critical to TUI’s future success, and a key source of competitive advantage. This is an opportunity for you to join a graduate programme that’s focused on producing business leaders, and gives you the chance to make a valuable contribution to our Analytics and Data Science function. During the two-year programme, you’ll have the invaluable opportunity to rotate around three of our core Analytics and Data Science teams: Digital Analytics   – focusing on using web behavioural data to optimise the use of our web and mobile sites Commercial Analytics   – focusing on the area of yield management, using demand forecasts and profitability data to optimise price and capacity management Customer Analytics   – focusing on using our rich customer data to truly personalise the customer experience Spending time in each of these areas will give you unparalleled experience and insight into our diverse and exciting team and industry. You’ll get exposure to a wide range of business problems, data science capabilities, different technologies and different stakeholders, and you’ll do this through a mix of project work on key initiatives, as well as supporting the teams in using a range of leading systems to optimise the customer experience and profitability. Throughout the programme, you’ll be working to ensure TUI fully benefit from the world of “big data”, and continue to find innovative ways to make the right decision at the right time in order to both enhance the customer experience and maximise profitability. You’ll use a range of modelling and analytical techniques, supported by the appropriate software, to either answer key business questions or deliver decision-making applications which ensure that decisions are made on a consistent and scientific basis. You’ll work directly with stakeholders from across the business to ensure that your analysis really addresses the underlying problem and that the results are implemented and the impact tracked and measured. Below are some examples of recent questions or problems that have been tackled by our Analytics team: Application of segmentation techniques to identify which ancillaries customers are most likely to buy. How do we optimise the allocation of fresh food on our aircrafts? What is the impact of promotional discount codes on-line – are they worth it? How accurate are our demand forecasts? Has changing our web search functionality improved conversion? Through working on a variety of projects such as the above, you’ll have the chance to apply your problem-solving skills to challenging, real-life problems, gaining experience in managing and explaining complex analysis to a variety of stakeholders. While doing so, you’ll be learning from senior colleagues with experience in a wide range of industries, as well as learning about new technologies. What we are looking for You’ll have achieved or be on track for a 2.1 or above in a STEM-related degree, and have a minimum of a B for Mathematics at A Level. We're looking for agile-minded, innovative thinkers, who are keen to learn and take on new challenges. Those who have a flair for collaborating with others, a natural drive for results, and are able to think strategically about the business. Adaptable individuals with a talent for thinking analytically, and a focus on providing unrivalled service to our customers. You’ll also have a passion for analytics and data, as well an interest in the travel industry. Working within TUI group Be Yourself… Be Unique! TUI’s more than a brand, it’s who we are. Trusted – Unique – Inspiring. We’re the leading tourism business with diverse customers and over 67,000 employees. Together, we embrace different continents and cultures. We believe travel broadens the mind. Just like our customers, we’re on a journey, of development towards a more digital, connected and integrated future. But we haven’t arrived there yet. We believe that differences drive innovation and we’re encouraging an environment where diverse talent thrives. Inclusion is fundamental to everything that we achieve and it’s our unique colleagues that will shape the future of travel. The TUI Group includes our unique hotel portfolio, our cruise ships, our own aircraft, tour operators, travel agencies. TUI is the UK’s largest tour operator with key brands including TUI, First Choice, Marella Cruises and Crystal Ski Holidays. Our airline is the country's third-largest with 62 aircraft operating to over 88 destinations in 30 countries. We have a team of more than 10,000 employees serving over 5.5 million customers each year. Join us now and you can look forward to a competitive salary, pension scheme and further benefits such as generous holiday discounts, excellent rates with foreign exchange and discounts with retailers.

QinetiQ is a leading science and engineering company operating primarily in the defence, security and critical infrastructure markets. We offer our customers world-class expertise through our services and innovative technology-based products. Our people proactively understand our customers’ current and future needs and create and enable solutions at greater pace to meet current, adjacent and emergent threats. Why don’t you join some of the world’s finest scientific and technical minds and help us make tomorrow work today? Job description/Person specification Location:   Malvern Employment Type:   Full Time – Permanent Salary:   £26,500 per annum + Bonus Schemes + Benefits Start Date:   September 2020 Profile In the Analysis, Modelling & Simulation discipline we are looking for graduates become part of a team of Data Scientists and Data Engineers who use techniques from Statistics, Computer Science and Engineering, and work closely with Human Sciences specialists, to derive meaningful information from complex data. You will develop the skills needed to contribute to the delivery of a wide range of programmes, primarily for military or government customers. Duties & Responsibilities You’ll be contributing to some of most challenging information technology programmes in the UK and could be responsible for: Applying leading-edge data analytic techniques; Big Data, Machine Learning, Natural Language Processing, Computer Vision and Tracking; to answer complex problems; Designing new tools and software components/services to perform extraction, cleansing, association, modelling, inference and visualisation of both structured and unstructured data; Adapting and applying knowledge to difficult problems in unfamiliar domains. Joining QinetiQ you will: Be part of a two year graduate programme allowing you to develop your technical expertise whilst getting the opportunity to experience a wider range of experience as well; Get access to training to develop your technical and leadership skills; Get the opportunity to support community projects, for example acting as a STEM ambassador to local schools. Entry Requirements To apply for the role you MUST meet the following criteria; Have attained, or are about to attain a minimum of a 2:1 Bachelor’s degree in a science, technology, engineering or mathematics (STEM) subject; Be willing to learn, and have demonstrated an aptitude for learning at pace; Have a good team-working ethic and have the ability to generate clear and well-structured input to reports and customer presentations; Have an interest in information technology and data engineering, including areas such as: Machine Learning Natural Language Processing Computer Vision Tracking Preferably have some experience of scripting and programming (e.g. Python, Java, Matlab, SQL, C++, Javascript); Hold full British Citizenship; Willing to undergo government vetting to achieve DV. Please be aware that this role is subject to both security & export control restrictions. These restrictions mean that you must hold full British citizenship and obtain the right to stay and work within the UK. Holding dual nationality may restrict the roles that you can perform within QinetiQ. QinetiQ Benefits As well as the opportunity to work in a company at the forefront of the technology sector you will also receive: Flexible Employee Benefits Annual Salary Review Recognition Scheme, volunteering - helping charities & local communities Up to 50% discount on meals across a wide range of restaurants Up to 15% off high street stores and 40% off cinema tickets Buy and sell annual leave, flexible working, social events, employee assistance 24/7 Gym and sports facilities on larger sites 25 days standard annual leave + bank holidays Cycle to work scheme Much more!

Are you passionate about groundbreaking technology and helping your customers and peers succeed? Are you naturally curious and passionate about evangelizing the power of big data and data analytics for organizations of all sizes across different verticals? Would you like the opportunity to work at a fast-growing company that is changing the way that information is used to support business decisions? If you answered yes to these questions then we have a home for you at Splunk. Splunk is seeking a highly motivated, inherently curious, results oriented individual to join our dynamic pre-sales team. You will partner closely with Splunk’s direct Sales Team on all aspects of opportunity development and technical selling across Splunk’s entire product and solution portfolio within the region. You will be the primary technical advisor for your customers, and their technical advocate within Splunk. Responsibilities Work within all levels of the SE org and external teams to help scope and define requirements for new or existing metrics/dashboards Support global sales engineering team with questions about SE analytics and implement fixes. Implement optimizations to UX and performance of Sales Engineering global analytics platform. Develop and Maintain new and existing tools that support global sales engineering operations Demonstrate ability to quickly learn new products, solutions, markets, and technologies Strong ability to collaborate across different parts of the business including Sales, Professional Services, Education, Support, Marketing, Global Field Enablement, and more. Highly organized and analytical and will be able to eliminate sales obstacles using creative and adaptive approaches. Comfortable working for a dynamic technical organization with a fast-growing customer base. IMPORTANT :   We can teach you the technology, coach you on soft skills and educate you on processes. You should have a strong sense of self-motivation, an insatiable curiosity about what “is possible” with technology, the desire to work with an awesome team and a positive, fun-loving attitude. Requirements: Strong interpersonal skills, both written and oral, and an ability to communicate complex ideas to all levels of the business. Strong technical fundamentals (examples include networking, systems administration, development, application management, operations, etc.) Familiarity with SQL, Web design (CSS, HTML & JavaScript), RegEX Should be available to travel to visit prospects and customers in the region Desire to learn, grow and be a part of our expanding and dynamic Team Education : Bachelor’s Degree or equivalent years of similar experience; BA/BS in Computer Science, Statistics, Mathematics, or Information Systems is preferred

Data Delivery Professional UK Our purpose is to use the power of communications to make a better world. For each other, for our customers, for society and our communities. We need you to help us do this. Why this role matters The Data Production Professional will be part of a technical team responsible for the creation, development, maintenance and running of our Fibre Network & Delivery (FND) Business Unit data sets. This role is available in multiple UK locations although our preference is a London or Leicester base. This role is important as data is the lifeblood of any business. Without accurate data FND would not be able to generate the analytics and insight needed to operate effectively. The role holder will have an expert understanding of data, and in particular our data, data sources, and systems. You will work on projects across a number of products and programmes where you will be responsible for data building and maintenance activities across all of our products. You will untangle the complex data which currently exists, and turn this into structured data which will be used by various teams across BI and wider FND to drive operational insight. As a data expert in FND you may coach other less experienced members of the team, or provide technical support to analysts in operational teams. What you'll be doing Responsibility for the creation, management, and development of the data sets on our Oracle warehouse that are used to make decisions and influence our 10,000 desk and filed staff, 7000 contractors and key stakeholders across Openreach. An expert on supplying data to, and collecting data from, stores such as systems and databases. Build and maintain data in line with FND’s data strategy. Working with key stakeholders to understand the tools and data available, tying data back to operational decision making and context as required. To work with other technical experts in Technology and CTIO to address and solve FND’s data problems. We'll also need to see these on your CV A highly capable developer of Oracle SQL that links datasets together to answer core questions and allows people to extract the new datasets. An ability to explain technical aspects clearly and concisely. Automation skills so that data builds flow regularly and reliably. Ability to deal with ambiguity / unknowns and still make progress on multiple projects at once. Ability to self-teach new skills and a hunger to improve. Desirable Big Data & Haas Why choose us? Business Intelligence is responsible for the data, analytics, visualisation, complex statistical modelling and insight which enables FND to make the most insightful decisions to operate effectively. We’re split into a Data Engineering team, an Analytics team, a Statistical Modelling (Data Science) team, and a specialist Regulatory Analytics team. We’re a team of around 40 people, spread around the country (so we’re used to virtual working), and we have a remit to grow the team to 55+ people because of the value we’re seen to bring. We’re at the centre of some hugely exciting change in FND. We’ve just reinvested in a new Enterprise visualisation tool to be rolled out across our team; we’ve just upgraded our infrastructure to ensure to improve the speed and stability of our systems; and we’ve invested in new external training and development opportunities for our people. And most excitingly, we’re working on a cultural change piece – trying to find out how analytics can change the way we work across the organisation. If you feel that your skillset matched the above, we are keen to hear from you! We value different perspectives, skills and experiences. Diversity makes sense for us, our customers and our ambitions. We’re creating an inclusive working culture where people from all backgrounds can succeed. That’s why we welcome applications from all parts of the community. #LI-OR

Data And Analytics Professional Location: Bristol Our purpose is to use the power of communications to make a better world. For each other, for our customers, for society and our communities. We need you to help us do this. Why this role matters Openreach Limited is Britain’s digital network business and now a legally separate, wholly-owned subsidiary within BT Group. We work on behalf of more than 600 communications providers like SKY, TalkTalk, Vodafone, and BT, and our fibre broadband network is the biggest in the UK, passing around 30 million premises. Fibre & Network Delivery (FND) is the team that build network right across the UK – under roads in busy city streets, across running waters in Welsh valleys and over mountains in the Scottish highlands – we’re everywhere. We build and maintain network for everyone: families, schools, villages, towns, hospitals, cities, stadiums, communications providers, small businesses, big businesses, bigger businesses. We connect people – whoever they are and wherever they are. We have around 10,500 people, fuelled by almost 250,000 years’ experience in delivering for customers. They’re here to build a large-scale Fibre to the Premises (FTTP) network for the UK, creating a legacy that sets our country’s digital economy up for years to come – and truly driving Britain’s digital revolution. FND is going through a data literacy transformation, where we’re looking to ensure that data is at the centre of all our decision making. To help support this, we’re growing and developing our analytical teams, and we’re looking for technically skilled people who are intellectually curious, passionate about making a difference, and a great communicator – able to explain difficult technical concepts to operational users. What you'll be doing Your responsibilities will vary depending on the type of project that you are working on, that keeps things interesting, you will be required to: To independently take responsibility for the creation, development, and use of key analytics, dashboards, or reports. Use your technical skills to obtain data from structured Oracle datasets, and use your visualisation experience to develop appropriate analytics Use your business knowledge and expertise to generate business-relevant, actionable insights to be presented to FND managers. To support on MIS production as required: drive insight stories; support on data analysis designs; support on specific data creation and data manipulation (including writing useful documentation that encourages exploitation by others). To role model evidence-based decision-making and knowledge sharing (helping others in data, analytics and insight creation and coaching), applying and complying with existing FND best practice data and analytics guidelines and governance. To constructively challenge and create recommendations, based on solid analysis, that allows FND to make informed decisions on the order and priority of improvements. To communicate in an inspiring, compelling and interesting way using real case study examples and/or benchmark information. We'll also need to see these skills on your CV To be a highly capable user of Oracle SQL who can link datasets together to answer core questions and allows people to extract the new datasets. Able to turn complex quantitative insight into high level management information for the use of senior management, extracting the key signals and translating it into actionable intelligence. Ability to deal with ambiguity / unknowns and still make progress on multiple projects at once. Ability to self-teach new skills and a hunger to improve. An ability to coach people, acting as a resource for colleagues with less experience. Why choose us? We’re on a mission to build the best network and make sure everyone can connect to it. We’re here to drive a digital revolution that will keep the UK as one of the most advanced digital nations in the world. We’re 30,400 engineers who live where we work and our fleet of 23,000 vans visit 25,000 customers every single day. We’re building a digital future for communities we’re proud to be part of. At Openreach diversity makes sense for us, our customers and our ambitions. We’re creating an inclusive working culture where people from all backgrounds can succeed, that’s why we welcome applications from all parts of the community. Your benefits package could include: Automatic enrolment into our pension plan Ongoing careers training and development Access to a range of products and services with great discounts including free broadband. #LI-OR #LI-TB1

About AkzoNobel AkzoNobel has a passion for paint. We’re experts in the proud craft of making paints and coatings, setting the standard in color and protection since 1792. Our world class portfolio of brands – including Dulux, International, Sikkens and Interpon – is trusted by customers around the globe. Headquartered in the Netherlands, we operate in over 80 countries and employ around 35,000 talented people who are passionate about delivering the high performance products and services our customers expect. For more information please visit www.akzonobel.com Responsibility 12 month Data science and Information Systems Industrial Placement - High Throughput Experimentation and Data Analysis in R&D To start July 2020 £15,840 per annum + £900 Relocation Fee*** + Benefits + 25days Holiday + Bank Holidays Slough, Berkshire Where better to put your learning into practice and gain valuable experience than as part of the team at AkzoNobel. We are more than just the largest global paints and coatings company. We are a business recognised the world over for being first with ideas, driving innovation, and delivering continuous improvement for customers. At AkzoNobel, we believe we can only grow our business as fast as we grow our people. That’s why we’re committed to developing people. The internship opportunities within our business are geared towards providing you with a challenging experience. Working as part of a successful team on ‘real life’ projects you’ll be mentored by experienced professionals. With their support see how academic theory is applied in a corporate environment, practice your analytical and team working skills and make a real contribution to the success of the business. Day-to-day you will be a part of our Design and Knowledge Management Team. Involved from day one, you’ll work closely with a range of internal business departments and use a variety of techniques to support R&D projects across our Decorative Paints functions, while gaining a greater understanding of the practical uses of programming and data science within an industrial environment, and how these can be used in conjunction with tools such as design of experiment, high throughput systems, and data visualization to provide solutions and value to our customers. AkzoNobel creates everyday essentials to make people's lives more liveable and inspiring. As a leading global paints and coatings company we supply essential colour, essential protection and essential ingredients to industries and consumers worldwide. Backed by a pioneering heritage, our innovative products and sustainable technologies are designed to meet the growing demands of our fast-changing planet, while making life easier. Headquartered in Amsterdam, the Netherlands, we have approximately 35,000 people in around 80 countries. Our portfolio includes well-known brands such as Dulux, Sikkens, International, Interpon and Cuprinol and we are consistently ranked as a leader in sustainability; we are dedicated to energizing cities and communities while creating a protected, colourful world where life is improved by what we do. To be considered you must have achieved a minimum of 300 UCAS points (or equivalent) and be a high achiever and expecting a minimum 2:1 degree or equivalent* on a course that offers you the option of taking a Year in Industry. Your degree subject area should be relevant such as   Data Science, and/or Computer Science, or similar . A good understanding of basic chemistry, physics, and statistics is also preferred. It goes without saying that you’ll be a highly motivated undergraduate who is keen to contribute to the progress of engaging projects within our operation. You could also have some previous experience of practical work with the ability to work accurately, tidily, methodically and safely adhering to safe laboratory working practices, policies and procedures at all times. What makes you different is you are the sort of undergraduate who not only has ideas but also has the energy and determination to make them happen; an undergraduate who wants to work in an international environment and find solutions to the big challenges facing the world. So if you think you’ve got what it takes and want to develop your talents, we can’t wait to see you here at AkzoNobel – and help you take your ideas to the world. To apply please complete our online application form at www.akzonobel.com/graduates As part of the application process you will need to be available for a telephone interview and to attend an Assessment Centre on either 19th or 20th December. Please visit the FAQ section of our website www.akzonobel.com/graduates for equivalencies in your country. ** UCAS Points are a measurement of ‘A ‘Level performance, points gained at AS level qualifications should not be included. 300 points are equivalent to 3B’s at ‘A ‘Level not including general studies. *** Terms applyCompetenciesAccepting DirectionAccepting ResponsibilityAcquiring Information Vacancy data Organisation Job characteristics Closing date October 25, 2019 Vacancy number A0000526 Continent Europe Country United Kingdom State/Region/Province Site Slough Business unit Paints and Coatings Job family Research Hierarchy level Entry Level Full time/part time Fulltime Contract type Permanent Job requirements/Candidate profile See text above

Big Data Architect – Consultancy Background, Data Science, Data Analytics, Business Intelligence, Data Warehousing (DW) Our client is looking for a highly experience Lead Big Data Architect specialist who has a broad Data Management Consultancy background and strong advisory experience in addition to technical Big Data Architecture experience. Must experience of working to exec level and have strong experience in evaluating Big Data technologies, tools to define Big Data Strategy and Reference architecture for Enterprise Data Lake. You’ll ideally have solid experience of designing enterprise scale data solutions, complex real-time solutions and have experience of building teams. Suited candidates are likely to be passionate about technology, delivering business value and competitive advantage through Data. Big Data certification is desirable. Technologies Hadoop YARN Hive HBase NoSQL Spark Cloud TOGAF