6,519 Clinical Researcher jobs in the United Kingdom

Study Coordinator - Toxicology

Harrogate, Yorkshire and the Humber Labcorp

Posted 20 days ago

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**Do you have fantastic organisational skills and want to work in the pharmaceutical industry supporting a growing Toxicology team?**
**Are you looking for a role with career progression opportunities?**
**Do you want to be a part of the world's leading drug development company?**
At our site in **Harrogate, North Yorkshire,** we are looking to recruit a **Study Coordinator** to join the team.
Labcorp is a global, world-leading Life Sciences Contract Research Organization that provides dedicated and fully comprehensive laboratory testing and drug development services to the pharmaceutical, crop protection and chemical industries. We strive to make a difference to people's everyday lives by bringing essential medicines to the market.
The Study Coordinator is responsible for coordinating the activities of routine and non-routine toxicology studies, in compliance with the appropriate company standards, Home Office requirements and regulatory guidelines, in a timely, efficient manner.
This role is an office-based, on-site position however offers the possibility for flexible working after training.
**The Study Coordinator:**
+ Is familiar with standard operating procedures, capabilities, and regulatory guidelines. Serves as a team resource for questions related to these topics.
+ Provides leadership to study teams and successfully manages difficult projects
+ May lead client or internal discussions, with input from Study Director, related to study design changes and study issues
+ Serves as a contact, along with the Study Director, in communication and interactions with other departments and clients, with assistance as applicable
+ Drafts protocols and amendments for Study Director Review and approval
+ Ensures all client comments on protocols and amendments are addressed in a timely manner
+ Addresses and reviews quality assurance audits relating to protocols and amendments and reports (as applicable), with oversight. Follows up with appropriate personnel to ensure all necessary document/data clarifications are completed in the specified timelines
+ Identifies opportunities for process improvements and assists in their resolution. May participate in other process improvement teams
+ Manages increasingly complex projects and study designs while taking on an increased workload
+ Provides input and assist with implantation of new technology and system changes/upgrades/enhancements
**We can offer you:**
+ Exposure to a variety of studies and the opportunity to interact with all departments involved in pre-clinical toxicology studies from client managers to reporting teams. This enables opportunities to develop knowledge, progress within the team and potentially to wider roles in Safety Assessment in the future
+ Competitive salaries and a comprehensive benefits package including health cover and contributory pension
+ Unrivalled opportunities to develop a successful career in the scientific industry
+ Unsurpassed career development opportunities where you can learn as you develop in a supported team environment
+ A culture of CARE with access to well-being programs and various employee resource groups
+ Flexible working
**Education / Qualifications:**
+ BSc, preferably Life Science degree. Experience may be substituted for education
**Skills / Experience:**
+ Significant demonstrable experience in Toxicology/Study Coordination or a client facing position, preferably within a CRO
+ Ability to demonstrate excellent communication and time management skills
+ Excellent attention to detail and consistent accuracy whilst managing multiple changing priorities
+ Knowledge of GLPs, regulatory agency guidelines and Home Office requirements
Study Coordinators in toxicology are exposed to many different types of study and have the opportunity interact with all departments involved in pre-clinical toxicology studies in Harrogate from client managers to reporting teams. This enables opportunities to develop knowledge, progress within the team and potentially to wider roles in Safety Assessment in the future. If this sounds like the role for you, then apply today!
**Labcorp is proud to be an Equal Opportunity Employer:**
Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.
**We encourage all to apply**
If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site ( or contact us at Labcorp Accessibility. ( ) For more information about how we collect and store your personal data, please see our Privacy Statement ( .
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Technical Trainer (Data Analysis)

SLS Recruitment Specialising in Further Education

Posted today

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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.

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Senior Geologist - Data Analysis

OX1 1AA Oxford, South East £50000 Annually WhatJobs

Posted 12 days ago

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full-time
Our client, a leading firm in the mining sector, is looking for a Senior Geologist specializing in data analysis to join their innovative team. This role will be based in **Oxford, Oxfordshire, UK**, with a hybrid work arrangement offering a balance between in-office collaboration and remote flexibility. You will be instrumental in collecting, interpreting, and modelling geological data from exploration sites, helping to identify potential mineral resources and optimize extraction strategies. Your expertise will be critical in utilizing advanced software and techniques to analyze large datasets, including geophysical surveys, core samples, and geochemical analyses.

The responsibilities include developing geological models, assessing resource potential, and preparing detailed technical reports for internal stakeholders and regulatory bodies. You will collaborate closely with exploration teams, mining engineers, and data scientists to ensure geological insights are integrated into all stages of the mining lifecycle. A strong understanding of geological principles, statistical analysis, and geological software (e.g., Leapfrog, ArcGIS, Vulcan) is essential. The ideal candidate will have excellent problem-solving skills, a meticulous approach to data handling, and the ability to communicate complex geological information clearly and concisely. This is a fantastic opportunity for a seasoned geologist to contribute to significant projects and advance their career within a respected organization.

Key Responsibilities:
  • 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.
Qualifications:
  • 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.
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Graduate Trainee - Data Analysis

OX1 1AA Oxford, South East £25000 Annually WhatJobs

Posted 12 days ago

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intern
Our client is seeking bright and ambitious Graduate Trainees to join their Data Analysis team. This is an excellent opportunity for recent graduates to launch their careers in a dynamic and data-driven environment located in Oxford, Oxfordshire, UK . The program offers comprehensive training, mentorship, and hands-on experience in various aspects of data analysis, interpretation, and visualisation. This hybrid role will involve a mix of in-office learning and collaborative activities, along with remote work, allowing for flexibility and exposure to modern work practices.

Key Responsibilities:
  • 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.
Qualifications:
  • 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.
This is an ideal entry-level position for individuals passionate about data and eager to develop a career in analytics. Join a supportive and innovative team and gain invaluable experience.
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Advanced Apprentice - Data Analysis

OX1 1BB Oxford, South East £22000 Annually WhatJobs

Posted 19 days ago

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intern
Are you passionate about uncovering insights from data and eager to kickstart your career in a fast-paced, innovative environment? Our client, a forward-thinking organisation, is offering a unique Advanced Apprenticeship opportunity in Data Analysis, based in the historic city of Oxford, Oxfordshire, UK . This programme is meticulously designed for ambitious individuals who are looking to gain hands-on experience and formal qualifications while contributing to meaningful projects.

This apprenticeship will provide comprehensive training in data manipulation, analysis, visualization, and reporting. You will work alongside experienced data professionals, learning industry-standard tools and techniques. Your contributions will directly support business intelligence efforts, helping to shape strategic decisions through data-driven recommendations.

What you will learn and do:
  • 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.
Requirements:
  • 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.
This is a fantastic chance to build a solid foundation in a high-demand field. The role is based in our Oxford office, offering a supportive learning environment and a clear pathway for career progression within the company. Embrace this opportunity to grow with us.
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Agronomist - Remote Data Analysis

BT1 1AA Belfast, Northern Ireland £45000 Annually WhatJobs

Posted 20 days ago

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full-time
Our client, a leader in sustainable agricultural technology, is actively seeking a highly skilled and innovative Agronomist to join their fully remote team. This unique role focuses on the analysis of large-scale agricultural data to provide actionable insights and recommendations for optimizing crop yields, improving soil health, and enhancing farming practices. You will leverage cutting-edge data analytics tools and collaborate virtually with a global network of researchers, farmers, and agricultural specialists. This is an exceptional opportunity for an experienced agronomist with a passion for data-driven agriculture and a proven ability to excel in a remote work environment. The successful candidate will contribute to shaping the future of farming.

Key Responsibilities:
  • 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.
Qualifications and Experience:
  • 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.
This role is based remotely, offering flexibility and the chance to make a substantial impact on the agricultural sector from anywhere. If you are a forward-thinking Agronomist with strong analytical skills and a desire to drive innovation in farming, based in or able to work effectively from Belfast, Northern Ireland, UK , we encourage you to apply.
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Principal Research Scientist - Genomics & Data Analysis

CV1 1JQ Coventry, West Midlands £85000 Annually WhatJobs

Posted 20 days ago

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full-time
Our client is a world-leading R&D organisation seeking a highly accomplished Principal Research Scientist specializing in Genomics and Data Analysis to join their innovative, fully remote team. This senior role is pivotal in driving cutting-edge research initiatives, leveraging advanced genomic technologies and sophisticated computational approaches to uncover novel biological insights. The ideal candidate will possess a Ph.D. in Genomics, Bioinformatics, Molecular Biology, or a related field, with a substantial track record of leading complex research projects and publishing in high-impact journals. You will be responsible for designing and executing large-scale genomic studies (e.g., WGS, WES, RNA-Seq), developing and applying advanced analytical pipelines, and interpreting complex datasets to inform strategic research directions. This is a fully remote position, demanding exceptional autonomy, rigorous scientific methodology, and advanced communication skills to collaborate effectively with diverse, international teams. Responsibilities include managing genomic data generation, ensuring data quality, performing sophisticated statistical analysis and machine learning, and contributing to the development of new diagnostic or therapeutic targets. You will mentor junior scientists, contribute to grant writing, and stay at the forefront of advancements in genomics, bioinformatics, and computational biology. Experience with high-performance computing environments, cloud platforms (AWS, GCP, Azure), and a deep understanding of various sequencing technologies are essential. We are looking for a visionary scientist who can translate complex data into actionable biological understanding and drive innovation in a fully remote setting. A strong publication record and a history of successful research collaborations are critical.

Qualifications:
  • Ph.D. in Genomics, Bioinformatics, Molecular Biology, or a related quantitative field.
  • 10+ years of extensive research experience in genomics and computational biology.
  • Proven expertise in designing and analyzing large-scale genomic datasets (WGS, WES, RNA-Seq, ChIP-Seq).
  • Proficiency in programming languages (Python, R) and bioinformatics tools/pipelines.
  • Experience with statistical modeling, machine learning, and data visualization.
  • Strong understanding of molecular biology and genetics.
  • Experience with cloud computing platforms and HPC environments.
  • Excellent leadership, mentoring, and collaboration skills.
  • Ability to work independently and effectively in a fully remote R&D setting.
  • Exceptional scientific communication (written and oral) and problem-solving abilities.
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Agronomist (Precision Agriculture & Data Analysis)

LE1 1AA Leicester, East Midlands £40000 Annually WhatJobs

Posted 15 days ago

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full-time
Our client, a forward-thinking agricultural enterprise in Leicester, Leicestershire, UK , is seeking a highly skilled Agronomist with expertise in precision agriculture and data analysis. This role is crucial for optimizing crop yields, improving resource management, and promoting sustainable farming practices through the innovative use of technology. You will be responsible for collecting, analyzing, and interpreting vast amounts of agricultural data, providing actionable insights and recommendations to farm management. This position requires a blend of agricultural science knowledge and advanced data analytics capabilities.

Responsibilities:
  • 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.

Qualifications:
  • 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.
This role is based in Leicester, Leicestershire, UK and requires on-site presence for field work and collaboration. We offer a competitive salary, benefits, and the chance to contribute to the advancement of modern agriculture.
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Remote Exploration Geologist - Data Analysis

MK9 2FB Milton Keynes, South East £55000 Annually WhatJobs

Posted 20 days ago

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full-time
Our client is a leading player in the global mining sector and is actively seeking a highly skilled and experienced Remote Exploration Geologist with a strong focus on data analysis. This is a fully remote position, offering the flexibility to work from anywhere within the UK. The successful candidate will be instrumental in identifying and evaluating potential mineral resource projects through the comprehensive analysis of geological data. Your responsibilities will include interpreting and modelling geological, geochemical, and geophysical datasets, assessing resource potential, and contributing to the strategic direction of exploration programs. You will leverage advanced geological software and data analysis techniques to generate insights and recommendations. Collaboration with in-house geologists, geophysicists, and external consultants will be a key aspect of this role, requiring excellent communication and teamwork skills despite the remote nature of the work. The ideal candidate will possess a deep understanding of mineral deposit formation, geological mapping, and resource estimation principles. A proven track record of successful exploration projects, supported by strong analytical and problem-solving capabilities, is essential. You will be responsible for the quality and integrity of geological data and models, ensuring they meet industry standards. This role demands a proactive approach, the ability to work autonomously, and a passion for uncovering new mineral resources. Experience with scripting languages for data manipulation and visualization (e.g., Python, R) would be a significant advantage. You will contribute to high-level decision-making regarding exploration strategy and investment.

Responsibilities:
  • Analyze geological, geochemical, and geophysical data to identify exploration targets.
  • Develop and interpret 3D geological models and resource estimates.
  • Assess the viability and potential of mineral resource projects.
  • Utilize advanced geological software for data analysis and visualization.
  • Collaborate remotely with cross-functional exploration teams.
  • Contribute to the development of exploration strategies and budgets.
  • Ensure the quality and accuracy of geological datasets and reports.
  • Prepare technical reports and presentations for management.
  • Stay abreast of new technologies and methodologies in mineral exploration.
  • Maintain knowledge of global mining trends and commodity markets.
Qualifications:
  • MSc or PhD in Geology, Economic Geology, or a related field.
  • Minimum of 7 years of experience in mineral exploration, with a focus on data analysis.
  • Proficiency in geological modeling and resource estimation software (e.g., Leapfrog, Surpac).
  • Strong understanding of mineral deposit types and exploration techniques.
  • Excellent analytical, critical thinking, and problem-solving skills.
  • Experience with geological data management systems.
  • Ability to work independently and manage projects effectively in a remote setting.
  • Strong written and verbal communication skills.
  • Familiarity with scripting languages (Python, R) is a plus.
This role is based in the vicinity of Milton Keynes, Buckinghamshire, UK , but operated remotely.
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Advanced Apprenticeship in Data Analysis

BD1 1AA Bradford, Yorkshire and the Humber WhatJobs

Posted 20 days ago

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apprenticeship
Embark on an exciting career journey with our Advanced Apprenticeship in Data Analysis program, offered in partnership with leading companies, providing a blend of remote learning and on-site practical experience in **Bradford, West Yorkshire, UK**. This is an exceptional opportunity for motivated individuals looking to gain valuable skills and qualifications in the in-demand field of data analysis. As an apprentice, you will receive comprehensive training, mentorship, and hands-on experience, working alongside experienced data professionals. You will learn to collect, clean, interpret, and visualize complex datasets to help businesses make informed decisions. Key responsibilities will include assisting with data extraction and manipulation, supporting the creation of reports and dashboards, and contributing to data quality checks. You will develop proficiency in essential tools and techniques, such as SQL, Excel, and data visualization software. This apprenticeship is designed to provide a structured pathway to a successful career in data. We are seeking enthusiastic, eager-to-learn individuals with a keen eye for detail and a strong aptitude for problem-solving. A genuine interest in data and technology is essential, along with good communication skills and the ability to work both independently and as part of a team. This hybrid program balances flexible remote study with practical application in a professional setting, ensuring a well-rounded learning experience. Upon successful completion, you will gain a recognized qualification and be well-positioned for further career advancement in data analytics.

Program Details:
  • Comprehensive training in data collection, cleaning, and preparation techniques.
  • Learning to use industry-standard tools such as SQL, Python/R, and data visualization software (e.g., Tableau, Power BI).
  • Developing skills in data interpretation, statistical analysis, and report generation.
  • Gaining practical experience through real-world projects and tasks.
  • Mentorship from experienced data analysts and professionals.
  • Hybrid learning model: structured remote study combined with on-site work experience.
  • Opportunity to earn a recognized qualification upon completion.
  • Pathway to potential full-time employment with partner companies.
Requirements:
  • Minimum of 5 GCSEs at grades 9-4 (A*-C) including Maths and English, or equivalent qualifications.
  • A genuine interest in data analysis and technology.
  • Strong numerical and analytical abilities.
  • Good problem-solving skills and attention to detail.
  • Effective communication and interpersonal skills.
  • Ability to work collaboratively in a team and independently.
  • Commitment to completing the full apprenticeship program.
  • Must be eligible to work in the UK and not currently in full-time education.
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