143 Fellowship Program jobs in the United Kingdom
Personal Trainer/Fitness Coach - Unlimited Professional Development Opportunities (Hiring Immedia...
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Remote Graduate Program Coordinator
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Data Scientist Graduate Program
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Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets.
- Develop and implement statistical models and machine learning algorithms.
- Perform data analysis and create insightful visualizations.
- Collaborate with senior data scientists on research and development projects.
- Contribute to the interpretation of results and the communication of findings.
- Support the deployment and monitoring of data models.
- Engage in continuous learning and stay updated with industry trends.
- Participate in team meetings and contribute to project discussions.
- Assist in generating reports and presentations for stakeholders.
- Support data-driven decision-making across various business units.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R.
- Familiarity with data manipulation and visualization libraries (e.g., Pandas, Matplotlib, Seaborn).
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal abilities for remote collaboration.
- Eagerness to learn and adapt to new technologies and methodologies.
- Demonstrated interest in data science through academic projects, internships, or personal projects.
Data Science Graduate Program
Posted 2 days ago
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Responsibilities:
- Collaborate with data scientists and engineers to clean and prepare datasets for analysis.
- Develop and implement statistical models and machine learning algorithms.
- Perform exploratory data analysis to identify trends and patterns.
- Create data visualizations to communicate findings effectively.
- Assist in the design and execution of A/B tests and other experiments.
- Document methodologies, findings, and code.
- Stay updated with the latest advancements in data science and analytics.
- Recent graduate with a degree in a quantitative field.
- Strong understanding of statistical concepts and machine learning techniques.
- Proficiency in Python or R.
- Experience with SQL and database management.
- Excellent analytical and problem-solving abilities.
- Strong communication and collaboration skills.
- Ability to work independently and manage time effectively in a remote setting.
Junior Data Scientist - Graduate Program
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Responsibilities:
- Assist in data collection, cleaning, and preprocessing activities.
- Support the development and implementation of machine learning models.
- Perform exploratory data analysis to identify trends and patterns.
- Generate reports and visualizations to communicate data insights.
- Collaborate with senior data scientists on various projects.
- Learn and apply statistical techniques for data analysis.
- Assist in the evaluation and validation of model performance.
- Contribute to data documentation and knowledge sharing.
- Gain exposure to different data science tools and platforms.
- Participate in training sessions and professional development activities.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field.
- Strong academic record with excellent grades.
- Proficiency in Python or R programming languages.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Basic understanding of machine learning concepts and algorithms.
- Experience with SQL for database querying is a plus.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication abilities.
- Eagerness to learn and adapt in a dynamic environment.
- Ability to work effectively both independently and as part of a team.
Junior Data Analyst - Graduate Program
Posted 1 day ago
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What You Will Do:
- Assist senior analysts in collecting, cleaning, and organizing large datasets from various sources.
- Perform data analysis using statistical methods and tools to identify trends, patterns, and anomalies.
- Create clear and compelling data visualizations and reports to communicate findings to stakeholders.
- Support the development and maintenance of dashboards and reporting tools.
- Collaborate with different departments to understand their data needs and provide analytical support.
- Learn and apply data modeling techniques and database management principles.
- Participate in team meetings, brainstorming sessions, and training workshops.
- Develop proficiency in SQL, Python, R, and data visualization tools like Tableau or Power BI.
- Contribute to data quality initiatives and ensure data accuracy.
- Gain exposure to a wide range of analytical projects across different business functions.
- A recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, 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 techniques.
- Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
- Enthusiasm to learn new technologies and methodologies in the data analytics space.
- Excellent communication skills, both written and verbal, with the ability to explain technical concepts to non-technical audiences.
- Ability to work effectively both independently and as part of a team.
- Proactive attitude and eagerness to take on new challenges.
- Prior internship or project experience in data analysis is beneficial but not mandatory.
Junior Data Analyst - Graduate Program
Posted 1 day ago
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Program Highlights:
- Structured onboarding and intensive training in data analysis tools and methodologies.
- Exposure to diverse datasets and analytical challenges across various business functions.
- Mentorship from experienced data professionals within the company.
- Opportunities to contribute to data-driven decision-making processes.
- Development of skills in data cleaning, manipulation, visualization, and interpretation.
- Exposure to statistical modeling and machine learning concepts.
- Collaboration with remote teams on challenging analytical projects.
- A pathway to potential full-time roles upon successful completion of the program.
Ideal Candidate Profile:
- Recent graduate with a degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving abilities.
- Familiarity with data analysis concepts and tools (e.g., Excel, SQL). Experience with Python or R is a plus.
- Excellent attention to detail and accuracy.
- Effective communication skills, both written and verbal, with the ability to explain complex findings clearly.
- Self-motivated and able to work independently in a remote setting.
- A passion for data and a desire to learn and grow in the field of data analytics.
- Ability to manage time effectively and meet deadlines.
- Proactive and eager to take on new challenges.
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Junior Data Analyst Graduate Program
Posted 2 days ago
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Throughout this program, you will learn to collect, clean, and interpret complex datasets using various analytical tools and techniques. Your responsibilities will include assisting in the development of reports and dashboards, identifying trends and patterns within data, and communicating findings to stakeholders through clear and concise presentations. You will be exposed to different areas of data analysis, including statistical modeling, data visualization, and predictive analytics. The program emphasizes collaboration, encouraging you to work effectively with remote teams across different departments. You will participate in virtual workshops, training sessions, and project meetings, developing your professional network and enhancing your understanding of data-driven decision-making.
We are looking for highly motivated, analytical individuals with a recent degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. Strong problem-solving skills, a keen eye for detail, and a logical mindset are essential. While no prior professional experience is required, a demonstrable interest in data analysis through academic projects, personal coursework, or internships is highly desirable. Proficiency in at least one programming language (e.g., Python, R) and familiarity with database concepts (SQL) are a plus. Excellent communication skills and the ability to work independently and as part of a remote team are crucial. This fully remote opportunity is perfect for ambitious graduates eager to learn and grow within a leading organization, all while being part of the intellectual hub of **Oxford, Oxfordshire, UK**.
Junior Data Analyst - Graduate Program
Posted 2 days ago
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As a Junior Data Analyst, you will assist senior analysts in collecting, cleaning, and interpreting large datasets. You will learn to identify trends, create reports, and help deliver actionable insights that drive business decisions. This internship is an excellent stepping stone for individuals looking to launch a career in data science and analytics. The ideal candidate will have a strong quantitative aptitude, a keen eye for detail, and a proactive approach to learning.
Key Responsibilities:
- Assist in the collection, cleaning, and organisation of data from various sources.
- Support the team in analysing datasets to identify trends, patterns, and anomalies.
- Help to create reports, dashboards, and visualisations to present data findings.
- Learn and apply various data analysis techniques and tools.
- Collaborate with team members on data-related projects.
- Contribute to data quality checks and validation processes.
- Assist in documenting data sources, methodologies, and findings.
- Learn to interpret data in the context of business objectives.
- Participate in team meetings and training sessions.
- Provide general support to the data analytics department as needed.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Familiarity with data analysis concepts.
- Excellent attention to detail.
- Good written and verbal communication skills.
- Ability to work both independently and as part of a team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Basic understanding of SQL or Python for data analysis is a plus.
- Previous internship experience in a related field is advantageous but not required.
Junior Data Analyst - Graduate Program
Posted 2 days ago
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Job Description
Responsibilities:
- Assist in the collection, cleaning, and organisation of data from various sources.
- Perform exploratory data analysis to identify trends and patterns.
- Support the creation of reports, dashboards, and visualisations.
- Conduct basic statistical analysis and interpret findings.
- Collaborate with senior analysts on data-related projects.
- Learn and apply data analysis tools and techniques.
- Document data processes and methodologies.
- Contribute to data quality assurance efforts.
- Assist in the preparation of presentations based on data insights.
- Participate in team meetings and contribute to discussions.
- Recent Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Data Science).
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Familiarity with programming languages such as Python or R is a plus.
- Basic understanding of statistical concepts and data analysis techniques.
- Excellent attention to detail and accuracy.
- Strong written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and develop skills in data analytics.