14 Big Data jobs

We are working with a global technology company who specialise in solutions for the automotive sector. The culture of the company has that small company creativity and flexibility but with the reach and stability of a large organisation. They have exciting plans to grow and are now looking for an Elasticsearch Developer to join their talented team in Crawley, West Sussex. The main duties will be to turn the current products into a real time reporting platform that can hold the different datasets as well as producing innovative insights in public transport and create the platform to drive exciting visualisations. Must have Skills: Elastic stack (Creating indexes, nodes clusters and use of the API) Logstash and/or other pipeline integration tools XPack Linux Scripting GIT Desirable Skills: SQL Strong knowledge of Elasticstack 6 and Kibana features Web Development (e.g. Javascript, PHP) Business Intelligence Reporting and integration with Elastic The company offers a competitive salary, great benefits and the opportunity to work with a highly talented and motivated team. This is a great environment to excel and innovate. Apply now, send your CV to WilkinChan@SpectrumIT.co.uk or hit apply now. Spectrum IT Recruitment - Wilkin Chan. Find me on LinkedIN.

Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers: Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017. Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts. What you will be doing: Key responsibilities As a Senior Data Scientist Engineer, your role will encompass: Leading  and conducting ambitious projects in the transformation of clients through data Having a contributor role in raising the level of competencies of the data science team Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department You’ll also participate in international projects. Business travel is something you enjoy! Among your responsibilities as Senior Data Scientist Engineer, you will be responsible for: Leading data projects Managing the resources on your projects to ensure challenges and skills are well match Securing delivery on your projects Communicating the successes of your projects among the company Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring Being a great tech role model Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives Researching and developing new technical approaches to address problems efficiently Sharing best practices and contributing to Artefact’s institutional knowledge Embodying Artefact’s values and inspiring others to do the same Qualifications: Education & experience required A Master’s degree in machine learning, mathematics, computer science, or related fields 2+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus) Strong experience and knowledge of computer science, data processing, algorithms, and data architecture Experience leading  a technical project in a business context Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact What we are looking for A Doer:  You get things done and inspire your teams to do the same An Analyst: You LOVE data and think every company should take their decisions with facts A Pragmatist:  You have a hacker mindset and always find the quick wins A Mentor:  Your clients and teams naturally seek for advice An Adventurer:  You’re an entrepreneur constantly looking for problems to solve Why you should join us Artefact is the place to be:  Come and build the future of marketing Progress:  Every day offers new challenges and new opportunities to learn Culture: Join the best team you could ever imagine Entrepreneurship:  You will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry! Come join us!

What you will be doing: Key responsibilities As a Data Engineer, your role will encompass: Conducting ambitious projects in the transformation of clients through data Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department Among your responsibilities as a Data Engineer, you will be responsible for: Performing data projects Securing delivery on your projects Communicating the success of your projects among the company Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs Ensuring that your solutions are bringing values to the client problematic Being a good team player, knowing your role and responsibility in the global ambition Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring Being a great tech person Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives Researching and developing new technical approaches to address problems efficiently Sharing best practices and contributing to Artefact’s institutional knowledge Embodying Artefact’s values and inspiring others to do the same Experience working with Big Data technologies such as Hadoop, Spark, Kafka… Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment) Being able to adapt your solutions and approaches to technical environment (security, access, tools) Qualifications :Education and Experience Bachelor’s degree in computer science, computer engineering, or related fields 1+ years of hands-on experience developing and applying data-driven solutions Strong experience and knowledge of computer science, data processing and data architecture Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact Experience in designing Data Integration / ETL Experience with Python, Linux, SQL, Cloud infrastructure and Docker Experience with Spark, BigQuery/ Redshift, Devops and Javascript is a plus

This AdTech company, in the media arena, can proudly claim to work some of the biggest and most loved brands in the UK and is looking to better utilise its data assets for commercial gain. They have direct access to a broad portfolio of datasets and a culture of fast-paced technology delivery thus are seeking a Data Engineer to help them build and operate large-scale data pipelines that are capable of withstanding their growth ambitions.  Role & Responsibilities  You’ll be working within the Data Team, who currently provide data and analytics to many teams across the organisation.  Assist the team to expand their Big Data analytics and streaming capabilities.  Manage increased throughput and complexity.  Help set the direction for how data pipelines are built and deployed in general.  communicate with a range of technical and non-technical stakeholders around the business  Keen to try new technologies and concepts  Experience & Skills Required  Demonstrable experience as a data or software engineer in a highly scalable environment such as messaging or streaming highly desirable.  Have experience in designing, building and launching highly available, distributed systems of data extraction, transformation and loading of datasets  Confidently monitor data reliability and infrastructure performance  Undertake agile methodologies and continuous delivery alongside large-scale streaming data (Kafka, Kinesis, etc.)  Proficiency of the following advantageous:-   Cloud services (ideally AWS)  Programming languages (Python, etc.)  Big Data systems (Spark, Hadoop, Pig, etc.)  SQL databases (Relational, Snowflake, etc.)  Structured or custom ETL management (Airflow, Luigi, etc.)  If you fit the above job description, please contact Teresa Cheeseman or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.  Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

At AstraZeneca when we see an opportunity for change we seize it and make it happen, because an opportunity no matter how small can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognising their potential. The vision of AstraZeneca Oncology is to redefine cancer, redefine our solutions to cancer, and restore patients' lives.  The   Oncology Bioinformatics   group work within cross-disciplinary drug project teams throughout the discovery and translational pipeline, specializing in NGS and multi-omic data analysis to drive new target discovery, pre-clinical and clinical research.  Excitingly the group is continuing to expand to harness diverse data science within our research, spanning probabilistic and   mathematical   modelling techniques,   machine learning , artificial intelligence (AI), knowledge graphs.  We have a fantastic opportunity for a talented and motivated individual to join the team and apply their mathematical skills to drive innovation in our portfolio, working alongside resident domain expertise and the burgeoning data science   community   across AZ. Main duties and responsibilities: Collaborate with drug project bioscience and translational scientists to understand their scientific and technical challenges and identify where data science can best impact. Collaborate with IT and quantitative science teams to devise innovative data science solutions. Draw actionable insight by developing and implementing ML/AI and mathematical techniques to big data spanning clinical genomics, pre-clinical assays, and published knowledge. Build models predicting new drug targets, biomarkers, and drug combination mechanisms. Publish and engage the AZ and external data science communities. Proactively engage in knowledge and code sharing and peer support. Implement and train our bench community in FAIR data practices to augment AI. Your skills and qualifications will ideally include: Strong quantitative background with a PhD or equivalent (e.g. Master’s degree plus 2 years’ experience) in mathematics, computational statistics, physics, data science, engineering, or similar. Strong applied background in one or more of Linear Algebra, Probability Theory (Bayesian, Gaussian logic etc.), and Optimization techniques. Broad experience in supervised and unsupervised machine learning methods such as random forests, SVMs, penalized regression, KNN, clustering, dimensionality reduction, ensemble methods, Bayesian methods (probabilistic programming, Gaussian processes). Experience in at least one of the following areas of advanced AI: deep learning, reinforcement learning, natural language processing. Programming proficiency and experience with relevant software tools such as R, Python or MATLAB), version control (Git/Bitbucket), and databases (SQL as well as NoSQL). Working in a Linux environment, with experience of cluster or cloud computing (e.g. AWS or Azure). Excellent communication and presentation skills. 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.

AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of most serious diseases. Our growth platforms are doing deeply well, and the impact of our older products decline is starting to reduce. And, with the potential of our pipeline and new medicines, we can be confident in our ability to sustain growth for years to come and make an even bigger difference to patients around the world. At AstraZeneca, we're proud to have a workplace culture that encourages innovation and teamwork. Our vision of a phenomenal place to work is one in which all our employees are engaged and driven by a clear shared purpose and a compelling strategy; where they are encouraged to perform and develop to their full potential; and where they are supported by the right organisation design, culture, technology and processes. As a Data & Analytics engineer you will support solution development, provide technical leadership, and take responsibility for delivery. You are a data professional with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will work almost exclusively with AWS services. You will join a team that has delivered cloud solutions, such as the development of auto-scaling data integration and analytic platform. Similarly, we have built an automated cloud ETL test harness which integrates with our evolving CI/CD processes. We have an exciting pipeline of work, so you might be developing a data hub processing terabytes of clinical trial data, the world’s largest genomics platform, a federated reporting capability, a new tax analytics platform, or improvements to any of our existing analytics solutions. You'll be part of a team of engineers who work closely with IT colleagues in UK, US, Sweden, India and Mexico. We have business partners and team members spread globally, so you would need a collaborative delivery approach to be successful. We prefer to use Agile, but choose the appropriate approach for the project. You will provide technical leadership throughout our software development lifecycle, from the initial development of a technical design based on agreed architecture, right through to service. Do you have a real passion for delivering well engineered data and analytics solutions? Because this will make you stand out from other specialists. If you would like to discuss flexible working or part-time working, we would be happy to hear from you. Key responsibilities Define effective ways of end-to-end deliver of our data and analytics platform, drive visualisation strategy to enable specific insights for better business decisions. Direct a team of data and reporting engineers focused on developing groundbreaking visualisation and computational capabilities for our big data platform. Be hands on within the scrum team on a day-to-day basis, continually inspecting and crafting the backlog in response to the changing business requirements or technical discoveries/POCs. Challenge the norm, and push the team to forget the easy route and go after the impossible. Lead technology processes from concept development to completion of project work you're doing. Desirable technical skills & experience Experience of cloud techniques and tools (we currently use AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark), Experience of ETL techniques and tools (we currently use Talend for ETL), Experience of visualisation technologies (we are focused on OBIEE, MicroStrategy, Spotfire, Qlik, Power BI), Experience of building scalable high availability analytics solutions, Experience in one or multiple programming languages (we currently use Python, Java, R, JavaScript and SQL), Experience of building unit tests, integration tests, system tests and acceptance tests, Experience in DevOps, using continuous integration and continuous development (we use Jenkins, Nexus, Git), Experience of data analysis – profiling, investigating, interpreting and documenting data structures, Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema), Agile practices, especially being a SCRUM Master, AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual 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.

G-Research is a leading quantitative research and technology company. By using the latest scientific techniques, we produce world-beating predictive research and build advanced technology to analyse the world’s data. We use the latest scientific techniques and advanced data analysis methods to discover the undiscovered. Our researchers are free to explore ideas, finding patterns in large, noisy and real-world data sets to predict the movements in global financial markets. The Role We are working on the fringes of the possible, trying to beat the efficient market hypothesis with the full “big data” tool set. We also build on the latest academic research into optimisation methods to find innovative solutions to the complexities that Markowitz ignored. This is a pure research role where you will have the freedom to develop and test your ideas with real-world data in an environment that resembles academia: you are only limited by your imagination! Who are we looking for? The ideal candidate will at minimum have experience in the following areas: You will have an interest in applying mathematical concepts to real world financial problems An interest in implementing theoretical insights as working code You will have, or be working towards gaining, a Masters or PhD degree in a highly quantitative subject (mathematics, statistics, computer science, physics or engineering) Previous financial experience is not required, although interest in finance and the motivation to rapidly learn more is a prerequisite for working here   Why should you apply? Highly competitive compensation plus annual discretionary bonus Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance 25 days holiday Contributory pension scheme Central London office close to 5 stations and 6 tube lines

Vertex Solutions are currently working with one of London's most innovative technology companies who are in full hiring mode. They are looking for an outstanding Senior / Lead Data Scientist to join the team and be a part of their exciting journey.  This opportunity is for one of London's most attractive data-driven businesses right now with a fantastic proprietary concept the firm are looking to execute. You will play an instrumental part in delivering the data science function of the business, working closely with a world class team and owning data through the full project lifecycle.  How you'll be innovating! You'll work on bespoke projects, challenging and improving the way things in the Data world are currently done! You'll have a huge amount of data at your fingertips and will utilise this to build industry leading models and applications. Delivering a project from Research to Deployment, you'll have the chance to identify, construct, validate, and actually see your models go into production.  Ideal requirements for the opportunity Proven experience of productionising Data Models  Strong Python Programming skills and libraries such as (Pandas, NumPy, Scikit-Learn, Matplotlib)  Experienced with SQL (plus Scala or any other language experience a bonus) Cloud exposure preferably with AWS (GCP, Azure also works) Big Data and Visualisation knowledge - (Spark, Kafka, PySpark etc)  Hands-on with the ability to drive a (currently small) team Machine Learning / NLP experience (various techniques from hypothesis to deployment) We are looking for candidates who have built, tested and deployed models within a production environment and able to write efficient code.  The business genuinely attracts and retains staff of the highest calibre by driving continuous growth and incentivising. They're based in a vibrant part of London, with a great mixture of individuals to collaborate with both internally and with external social events.  Strong salary and fantastic package on offer.  Lead Data Scientist | Python | Scikit-Learn | Pandas | NumPy | NLP | SQL | AWS | Machine Learning | AI | Programming | Big Data | Analytics  For further information and immediate consideration for interview, please don't hesitate to contact Lewis Forsyth on l.forsyth @ vertex-solutions.com.

Join us on our exciting journey! IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward. The Company IQVIA - the Human Data Science Company - is grounded in three interconnected forces: human data, human science and data science. IQVIA contributes to the advancement of human health globally through timely research, insightful analysis and scientific expertise applied to granular non-identified patient-level data. Fulfilling an essential need within healthcare, IQVIA delivers objective, relevant insights and research that accelerate understanding and innovation critical to sound decision making and improved human outcomes. With access to institutional knowledge, advanced analytics, technology and unparalleled data, IQVIA works in tandem with a broad set of healthcare stakeholders to drive a research agenda focused on Human Data Science, including government agencies, academic institutions, the life sciences industry and payers. IQVIA has approximately 55,000 employees in more than 100 countries, all committed to making the potential of human data science a reality. The Team IQVIA Real-World & Analytics Solution (RWAS) teams work with clients worldwide to help them use complex, clinically rich, patient-level healthcare datasets to answer their specific research questions, make more informed decisions, and deliver results. We are collaborative, intellectually curious, entrepreneurial, and constantly looking for opportunities to harness the value of Real-World Evidence (RWE) in a constantly evolving industry. Specifically, you will be working in the RWAS Enriched Studies Development Team. The RWAS Enriched Studies Development Team is responsible for advancing the IQVIA capabilities to deliver Enriched Studies through targeted internal investment activities, client business development and oversight for study delivery. Enriched Studies integrate two methods of data collection (primary and secondary) to build a comprehensive patient record and increase both the availability and depth of researchable data. Enriched Studies are innovative in their use of secondary data (e.g. electronic medical records, health claims) and provide a number of benefits to our clients.  Enriched Studies are typically deployed as a method for delivering observational studies, although are also being explored for delivering clinical trials as well.  The content area of the team encompasses a broad range of activities related to Enriched Studies: Geographic data source and technical assessments to support capability expansion. Enhancing data management and analysis capabilities of both primary collected information and existing databases. Proactive business development, including development of proposals. Supporting multi-country study delivery. Development of standard processes. Technical enablement of our study delivery Role We are looking for a Business Analyst who will support the Enriched Studies investment and technical initiatives focusing on business requirements documentation, test plan documentation and execution, and general analytical support. As a Business Analyst you will join a high profile, talented and fast paced team supporting the technical enablement of the delivery of Enriched Studies. You must thrive in a collaborative environment where you can liaise with business functions, Enriched and technical teams in developing business process flows and translate into technical requirements.  Assignments will range in complexity and may require working across business units. The successful candidate will be able to achieve professional development and learning, which includes skills specific training courses as well as on-the-job training.   Our ideal candidate is someone who has demonstrated success in a business analyst role producing effective detailed requirements documentation, traceable test plans.  We have a strong entrepreneurial culture, and seek an individual who can excel in a growth-oriented, global business. The role is a global role but based out of the UK office.  Principal Accountabilities Elicit, analyze, validate, specify, and verify business requirements for initiatives involving healthcare data and technology Create Business Requirements Documents (BRDs) and traceable test plans Collaborate with supervisor, subject matter experts, product owners to find the best approaches to address requirements Define and document business processes Conduct and/or synthesize market research Track issues and resolution Liaise with the Technical teams and business stakeholders in translating business requirements into technical requirements following the Agile Scrum methodology Support testing as a proxy for business and analytical customers when needed. Work independently and collaboratively as required Support business case development Provide project management office support to the Project Management Office Lead in the design and execution of the Enriched Studies investment strategy as directed, e.g. tracking resource assignments, reviewing project documentation, tracking project progress and completing project reports. Desired Skills and Experience Demonstrated success in preparing business requirements documentation for healthcare related projects Mastery of MS Office tools  Understanding of Software Development Lifecycles (SDLC) Experience working closely with project managers Exposure to healthcare data (i.e. claims, EMR, longitudinal prescriptions) desired Sound analytic, problem solving, and quantitative skills Strong desire to learn Effective oral, written and communication skills Good organizational skills and the ability to handle multiple activities with changing priorities simultaneously Knowledge of the healthcare industry landscape, including bio-pharma Proven team player; strong relationship building skills with internal and external stakeholders. Experience in global roles; understand cultural sensitivities and time zones preferred Experience in Agile Scrum methodology an advantage, but not mandatory Qualifications  Bachelor’s degree Minimum of 5 years’ experience working in an analyst role in healthcare, healthcare technology, or big data sector Some project management experience or training is desired, but not essential We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. Whatever your career goals, we are here to ensure you get there! We invite you to join IQVIA™

Springer Nature is one of the world’s leading global research, educational and professional publishers. It is home to an array of respected and trusted brands and imprints, with more than 170 years of combined history behind them, providing quality content through a range of innovative products and services. Every day, around the globe, our imprints, books, journals and resources reach millions of people, helping researchers and scientists to discover, students to learn and professionals to achieve their goals and ambitions. The company has almost 13,000 staff in over 50 countries. Springer Nature is seeking a highly motivated Data Scientist for the Content Acquisition technology domain serving the Digital division that supports Nature, Springer, BioMedCentral and Scientific American. As a Data Scientist, you’ll be analysing big data from very highly trafficked websites and content workflows. You will provide actionable analysis and insight into the behaviour of researchers in both their roles as authors, editors and reviewers and as users of scientific information as well as general trends in the world of research. You will be driving change that improves the researcher’s experience with SpringerNature and supports our purpose to advance discovery.    Role responsibilities will include: Gathering, analysing and blending data to produce business and customer insights, and give recommendations on how to further improve Springer Nature’s products, services and platforms Build strong and proactive relationships with relevant business stakeholders and senior management, providing insights and analytics to support in achieving the strategic goals of the business Increase the adoption of data science, standardise analytics tools across the organization, improve data management and reporting, and make data led insight accessible to the business Being an advocate for a data-driven culture, share thought leadership on tools and best practices, Introducing compelling data visualizations and interactive dashboards that allow right decision-making in a timely manner Leading the journey towards more advanced and predictive analytics using statistical modelling, machine learning and AI Role requirements: University degree with a strong analytical/quantitative background or equivalent experience (e.g. Data Science, Statistics, Mathematics, Econometrics, Physics, Computer Science etc.) Ability to extract, cleanse and combine data and make sense of it using software and tools like SQL, Big Query, Python/R, Tableau Strong statistical and machine learning skills with some experience in NLP and the desire to learn more. Excellent communication skills with the ability to tell compelling stories from the data Strong ability to influence, with highly effective negotiation and presentation skills Experience in identifying patterns and connecting different pieces of information to deliver unobvious insights drawing information from diverse and varied sources. Demonstrable experience of using data insights and analytics to add tangible value in achieving the wider goals and strategy of the business Excellent analytical problem solving capabilities coupled with business acumen Well organized and accurate with good time management Good networker, able to build up effective relations with internal business partners To apply please upload a copy of your CV and covering letter, stating your salary expectations. At Springer Nature we value and celebrate the diversity of our people. We recognise the many benefits of a diverse workforce and strive for an inclusive workplace that empowers all our colleagues to thrive. Our search for the best talent fully encompasses and embraces these values and principles. Visit the Springer Nature Editorial and Publishing website at  www.springernature.com/editorial-and-publishing-jobs  for more information about our Research E&P career opportunities.

Our client is one of the largest growing tech companies, who boast nearly 26,000 staff globally. Due to continued expansion and client wins, they are looking to onboard Big Data specialists, who can help deliver client projects and solve software solutions. As this is working for a consultancy, you should expect a majority of your time to be spent in London and when required other projects throughout the UK.  As the Big Data Consultant you will have experience with: Designing data analytics using the Big Data / BI Tech stack Big Data Architecture with a solid design/development background in any of Java, Scala, or Python Creating/organizing delivery process, even from scratch Delivering data analytics projects and architecture guidelines Big data solutions on premises and on the cloud (Amazon Web Services, Microsoft Azure, Google Cloud) Good knowledge of batch processing based on MapReduce and the tools Hadoop / Spark / Hive NoSQL databases: any of Cassandra / HBase / Accamulo / Kudu If you are a Big Data Developer/Architect who is open to travel and is open to working for a consultancy, please apply today to find out more.  Big Data Solution Architect £90,000 to £110,000 per annum, plus bonus and benefits London based, with travel within the UK required Contact:  Mickey Fowler

Vertex Solutions are currently working with one of London's most innovative technology companies who are in full hiring mode. They are looking for an outstanding Senior / Lead Data Scientist to join the team and be a part of their exciting journey.  This opportunity is for one of London's most attractive data-driven businesses right now with a fantastic proprietary concept the firm are looking to execute. You will play an instrumental part in delivering the data science function of the business, working closely with a world class team and owning data through the full project lifecycle.  How you'll be innovating! You'll work on bespoke projects, challenging and improving the way things in the Data world are currently done! You'll have a huge amount of data at your fingertips and will utilise this to build industry leading models and applications. Delivering a project from Research to Deployment, you'll have the chance to identify, construct, validate, and actually see your models go into production.  Ideal requirements for the opportunity Proven experience of productionising Data Models  Strong Python Programming skills and libraries such as (Pandas, NumPy, Scikit-Learn, Matplotlib)  Experienced with SQL (plus Scala or any other language experience a bonus) Cloud exposure preferably with AWS (GCP, Azure also works) Big Data and Visualisation knowledge - (Spark, Kafka, PySpark etc)  Hands-on with the ability to drive a (currently small) team Machine Learning / NLP experience (various techniques from hypothesis to deployment) We are looking for candidates who have built, tested and deployed models within a production environment and able to write efficient code. The business genuinely attracts and retains staff of the highest calibre by driving continuous growth and incentivising. They're based in a vibrant part of London, with a great mixture of individuals to collaborate with both internally and with external social events.  Strong salary and fantastic package on offer.  Lead Data Scientist | Python | Scikit-Learn | Pandas | NumPy | NLP | SQL | AWS | Machine Learning | AI | Programming | Big Data | Analytics  For further information and immediate consideration for interview, please don't hesitate to contact Lewis Forsyth on l.forsyth @ vertex-solutions.com.