478 Hadoop jobs in the United Kingdom

About Us:

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Company Highlights:

• Quantiphi, a Services & AI Platforms company, has seen 2.5x growth YoY since its inception in 2013
• Headquartered in Boston, with 3300+ data science professionals across 11 global offices
• Winner of 3X NVIDIA AI Partner of the year award
• Winner of the 17X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner
• Winner of 3X AWS AI/ML Partner of the Year award
• Preferred and Premier Partner of AWS, Google, NVIDIA, Snowflake, MS Azure
• Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and other leading analyst firms
• Recognized as an AIFinTech100 Company, 2022 by InsurTech
• Winner of Best in Business Award in Established Business category by INC., 2022
• Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Healthcare by Frost & Sullivan, 2022
• Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms.
• Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category
• Winner of 2021 AWS Canada Rising Star of the Year

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

Roles and Responsibilities:

• Design and develop complete end-to-end enterprise-wide big data solutions
• Create integration and application technical design documentation
• Conduct peer-reviews of functional and technical design documentation
• Develop, configure, and execute test cases along with unit testing
• Perform code reviews and ensure coding standards are applied across solution components
• Resolve complex defects during testing phases and identify root causes
• Support and execute performance testing activities
• Provide production support by troubleshooting issues and tuning environments
• Follow and enforce technical best practices throughout all project phases

Required Skills:

• Strong Application development experience in Scala/Python
• Strong Database SQL experience, preferably Redshift
• Experience in Snowflake is an added advantage
• Experience with ETL/ELT process and frameworks is a must

What is in it for you:

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world
• Be a leader of an energetic team of highly dynamic and talented individuals
• Exposure to working with fortune 500 companies and innovative market disruptors
• Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

Spotlight Sports Group is a global media and technology company specialising in content and data within sports betting, horse racing and fantasy sports. With over 400 employees, the group operates multiple award-winning brands, including Racing Post, the world’s largest horse racing affiliate, Pickswise, myracing and Free Super Tips. We partner with leading operators across the betting industry to produce and build multilingual, best-in-class digital products and content to engage and educate customers. ICS-digital, an international marketing agency including ICS-translate, also operates under the group.

This role will be working from our London office 3 days a week and 2 days working from home.

Job Purpose:

To provide a professional service inputting into and maintaining the horse racing database ensuring a high degree of accuracy. The data held in the database is used to provide content to Racing Post’s publications, the website and is also syndicated to other publishers and betting operators.

Key Accountabilities/Responsibilities:

• Collates and inputs horse racing data into the Company databases (Sybase and/or GRP) to a high degree of accuracy.
• Processes horse racing data and maintains the database to the standards required.
• Manages and creates Silks images for international horse racing. 
• Ensure all B2B products are released to clients in a timely fashion. Where issues occur, lead the resolution process and keep the B2B clients informed. 
• Train new or inexperienced staff.
• Writing for various Racing Post papers/publications as and when required.
• Proof read work produced, ensuring the delivery to error-free pages (web and print). 
• Occasionally, take on other production and writing duties as required. 
• Quality assurance.

Key Relationships:

• Content, including other Data Operations teams

• B2B

• External clients. 

Skills and Attributes:

Essential

• Good knowledge of horse racing, greyhounds and sport.
• Ability to produce work to the highest standard.
• Outstanding attention to detail.
• Excellent team working skills.
• Excellent organisation skills with the ability to understand schedules and meet deadlines.
• Ability to work efficiently under pressure.
• Good communication skills.
• IT literate, including good operational knowledge of Microsoft or Google packages.

Desirable

• Previous experience of working in a publishing environment.
• Previous experience with InDesign, Adobe Photoshop, Google Drive

Benefits

We offer a range of well-being initiatives, including private medical insurance, excellent parental leave, a working globally policy, mental health support, assistance programs, and social gatherings. We also provide a pension scheme and various other benefit schemes. Plus, we all get our birthdays off work and enjoy 25 days of holiday per year, as well as the opportunity to buy 5 additional days per year and you can be flexible about when you use your public holidays.

We’ve also got you covered with life assurance and exclusive perks like the Star card and our Step Further Awards (our employee recognition program) to recognise your dedication. For those working via the hybrid model (in the office and at home) we’ve made commuting easier with our Season Ticket Loan and Cycle to Work Scheme.

You can also take advantage of complimentary access to our Racing Post Members Club, complete with an Ultimate Membership. We believe in making a positive impact beyond the workplace, and you'll have the chance to volunteer two days per year with our charity partner, Autism in Racing .

DATA ANALYST TRAINER - (BOOTCAMPS&APPRENTICESHIPS) - £45,000 - FULLY REMOTE (MUST BE UK BASED)

SLS Recruitment are working with a leading IT & Digital Training provider and they have a new opportunity for a Data Analyst Trainer to work across their skills bootcamp and apprenticeship provision. This is a fully remote role and will offer a salary of up to £45,000. This opportunity would suit someone who has experience of delivering training in the technology below.

To be considered for this opportunity you will have the following:

• MUST HAVE DELIVERED TRAINING PREVIOUSLY
• MUST HAVE A TEACHING OR ASSESSING QUALIFICATION
• Knowledge of Excel, Access, R, SQL, Power BI and Azure fundamentals.
• Experience of delivering training in Data Analysis a minimum of 1 year.
• A relevant qualification in Data Analysis, ideally at degree level.

As a Data Analyst Trainer you will work with Curriculum, IQA and Service Delivery Teams. You will adapt different ways of working and be able to establish individual learning needs and introduce new ways of working.

For further information on this opportunity to work with a provider who continues to grow, please apply now.

• Analyze and interpret geological and geophysical data.
• Develop and refine 3D geological models.
• Conduct resource estimation and geological risk assessments.
• Prepare comprehensive technical reports and presentations.
• Collaborate with exploration and mining engineering teams.
• Utilize advanced geological software for data processing and visualization.
• Advise on exploration strategies and target definition.
• Ensure data quality and integrity throughout projects.
• Stay updated on the latest geological techniques and technologies.
• Contribute to the company's overall resource management strategy.

• MSc or PhD in Geology, Geophysics, or a related field.
• Significant experience in geological data analysis and modelling.
• Proficiency in geological software packages (e.g., Leapfrog, ArcGIS, Vulcan).
• Strong statistical analysis and quantitative skills.
• Experience in mineral resource estimation.
• Excellent written and verbal communication skills.
• Ability to work effectively in a hybrid environment.
• Strong problem-solving and critical thinking abilities.
• Familiarity with exploration and mining processes.

• Assist in collecting, cleaning, and organising large datasets from various sources.
• Perform preliminary data analysis using statistical methods and software tools.
• Support senior analysts in generating reports, dashboards, and visualisations to communicate findings.
• Learn and apply data mining techniques to identify trends, patterns, and insights.
• Contribute to the development of data models and analytical frameworks.
• Collaborate with team members on projects, participating in brainstorming sessions and problem-solving activities.
• Assist in documenting data sources, methodologies, and analytical processes.
• Gain exposure to various data analysis tools and technologies (e.g., SQL, Python, R, Tableau).
• Participate in training sessions and workshops to enhance technical and analytical skills.
• Provide support for ad-hoc data requests and analysis as needed.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, or a related discipline.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with or willingness to learn data manipulation and analysis tools (e.g., Excel, SQL).
• Excellent communication and interpersonal skills.
• Ability to work both independently and as part of a team.
• Proactive attitude and eagerness to learn and develop new skills.
• Eligibility to work in the UK.
• Comfortable working in a hybrid work environment.

• Assist in the collection, cleaning, and preprocessing of diverse datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop reports and dashboards using data visualization tools to present findings clearly and concisely.
• Support the team in designing and implementing data quality checks and validation processes.
• Gain exposure to statistical modeling and predictive analytics concepts.
• Learn to use programming languages such as Python or R for data manipulation and analysis.
• Understand database concepts and SQL for data extraction.
• Collaborate with different departments to understand their data needs and provide analytical support.
• Contribute to the continuous improvement of data processes and methodologies.
• Undertake a structured learning program leading to a recognised qualification in Data Analysis.

• A strong interest in data, analytics, and technology.
• A minimum of 5 GCSEs at Grade C/4 or above, including Maths and English, or equivalent.
• Excellent problem-solving abilities and a keen eye for detail.
• Good communication and teamwork skills.
• A proactive attitude and a willingness to learn.
• Basic understanding of Excel or similar spreadsheet software is advantageous.

• Analyze vast datasets from various sources, including soil sensors, weather stations, satellite imagery, and farm management software.
• Develop predictive models for crop growth, disease outbreaks, and pest infestations.
• Provide data-driven recommendations to farmers and agricultural businesses on planting schedules, fertilization, irrigation, and pest/disease management strategies.
• Interpret complex agricultural data and translate it into clear, concise, and actionable reports and presentations for diverse audiences.
• Collaborate with the R&D team to improve data collection methodologies and analytical tools.
• Stay current with advancements in agricultural science, data analytics, and precision farming technologies.
• Contribute to the development of best practices for sustainable agriculture through data analysis.
• Assist in the design and execution of field trials to validate analytical models and recommendations.
• Troubleshoot data quality issues and implement data cleansing procedures.
• Communicate effectively with clients and internal teams through virtual channels.

• A Master's degree or Ph.D. in Agronomy, Crop Science, Agricultural Science, or a closely related field.
• A strong background in data analysis, statistical modelling, and the use of agricultural data platforms/software.
• Proficiency in data analysis tools such as R, Python, or similar programming languages.
• Experience with GIS software and remote sensing data interpretation.
• Knowledge of various crop types and agricultural systems.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to convey technical information effectively.
• Proven ability to work independently, manage projects, and deliver results in a remote setting.
• Experience in a client-facing role or providing advisory services is a plus.
• A passion for sustainable agriculture and technological innovation.

• Develop and implement precision agriculture strategies tailored to specific farm operations.
• Collect and analyze data from various sources, including soil sensors, weather stations, drones, satellite imagery, and farm machinery.
• Utilize GIS and data visualization tools to map field variability and identify areas requiring specific treatment.
• Provide expert recommendations on crop nutrition, pest and disease management, irrigation, and soil health based on data analysis.
• Monitor crop growth and performance, identifying potential issues and recommending timely interventions.
• Evaluate the effectiveness of different agricultural inputs and practices.
• Stay current with the latest advancements in agricultural technology, data science, and agronomic research.
• Collaborate with farm managers, agronomists, and technical staff to implement recommendations and ensure successful outcomes.
• Maintain detailed records of field trials, experiments, and operational data.
• Contribute to the development of sustainable and environmentally sound farming practices.
• Train farm personnel on the use of precision agriculture technologies and data interpretation tools.
• Prepare reports and presentations on findings, recommendations, and program performance.

• Bachelor's or Master's degree in Agronomy, Agricultural Science, Soil Science, Data Science, or a related field.
• Proven experience (3+ years) as an Agronomist or in a related agricultural role with a strong focus on data analysis.
• Demonstrable expertise in precision agriculture techniques and technologies (e.g., GPS guidance, variable rate application, remote sensing).
• Proficiency in using GIS software (e.g., ArcGIS, QGIS) and data analysis tools (e.g., R, Python, Excel with advanced functions).
• Strong understanding of soil science, crop physiology, plant pathology, and entomology.
• Experience with agricultural data management platforms and software.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to explain complex data to diverse audiences.
• Ability to work independently and as part of a team in a field-based environment.
• A valid driver's license and willingness to travel to various farm locations within the region.
• Knowledge of sustainable agriculture practices is a plus.