387 Graduate Schemes jobs in the United Kingdom
Data Scientist Graduate Program
Posted 1 day ago
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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 10 days ago
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Job Description
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 Analyst - Graduate Program
Posted today
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Job Description
Responsibilities:
- Assist in the collection, cleaning, and preparation of data from various sources.
- Perform data quality checks and ensure data accuracy and integrity.
- Support senior analysts in conducting data analysis and identifying trends.
- Generate reports and dashboards to communicate findings to stakeholders.
- Create data visualizations to effectively present complex information.
- Assist in the development and maintenance of databases and data systems.
- Collaborate with team members on data-driven projects and initiatives.
- Learn and apply various data analysis tools and techniques (e.g., SQL, Excel).
- Contribute to the improvement of data management processes.
- Participate actively in training sessions and program activities.
- 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 skills.
- Proficiency in Microsoft Excel is essential.
- Basic understanding of database concepts and SQL is desirable.
- Interest in learning data analysis tools and techniques.
- Excellent attention to detail and accuracy.
- Good communication and interpersonal skills.
- Ability to work effectively in a team environment.
- Enthusiasm for data and its potential to drive business insights.
Junior Data Analyst - Graduate Program
Posted 1 day ago
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Job Description
As a Junior Data Analyst, you will work alongside experienced professionals, gaining hands-on experience in collecting, cleaning, analyzing, and interpreting complex datasets. Your insights will support business decision-making, identify trends, and help optimize various operational processes. You will be instrumental in transforming raw data into actionable business intelligence.
Key Responsibilities:
- Assist in the collection and extraction of data from various sources.
- Cleanse, transform, and validate data to ensure accuracy and integrity.
- Perform exploratory data analysis to identify patterns, trends, and anomalies.
- Develop reports and visualizations to communicate findings to stakeholders.
- Support senior analysts in developing predictive models and statistical analyses.
- Contribute to the maintenance and improvement of data quality standards.
- Learn and apply various data analysis techniques and tools.
- Collaborate with different departments to understand their data needs and provide analytical support.
- Assist in the documentation of data processes and methodologies.
- Participate actively in training sessions and team meetings.
Qualifications and Experience:
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel is essential.
- Familiarity with database concepts and SQL is a significant advantage.
- Exposure to programming languages like Python or R for data analysis is desirable.
- Excellent attention to detail and commitment to data accuracy.
- Good communication and interpersonal skills, with the ability to explain technical concepts clearly.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work both independently and as part of a team in a hybrid work environment.
This graduate position is based in our **Coventry** office, requiring a hybrid presence to facilitate mentorship and team integration. It's an ideal stepping stone for individuals passionate about data and eager to grow their skills within a supportive and professional setting.
Senior Data Analyst Graduate Program
Posted 1 day ago
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Job Description
Program Highlights:
- Intensive training in data manipulation, statistical analysis, and data visualization techniques.
- Exposure to diverse business functions, including marketing, finance, operations, and product development.
- Mentorship from industry-leading data professionals.
- Opportunities to contribute to real-world projects and present findings to senior management.
- Development of advanced skills in SQL, Python/R, and BI tools (e.g., Tableau, Power BI).
- Focus on understanding business requirements and translating them into analytical frameworks.
- Training on data governance, ethics, and best practices.
- Potential for a permanent role upon successful completion of the program.
- Recent graduate (within the last 2 years) with a Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Demonstrated strong analytical and quantitative skills, with a keen eye for detail.
- Familiarity with programming languages commonly used in data analysis (e.g., Python, R) and database querying (SQL).
- Excellent communication and presentation skills, with the ability to explain complex data insights to non-technical audiences.
- Proactive, curious, and eager to learn new technologies and approaches.
- Ability to work collaboratively in a team-oriented environment.
- Strong problem-solving abilities and a results-driven approach.
- Must be eligible to work in the UK.
Junior Data Scientist - Graduate Program
Posted 1 day ago
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Job Description
Responsibilities:
- Assist senior data scientists in collecting, cleaning, and preprocessing large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Develop and implement statistical models and machine learning algorithms under guidance.
- Contribute to the development of predictive models and data-driven solutions.
- Visualize data and model results using various tools and techniques.
- Collaborate with cross-functional teams to understand business requirements and translate them into data science problems.
- Document methodologies, code, and findings clearly and concisely.
- Participate in regular team meetings, training sessions, and knowledge-sharing initiatives.
- Assist in the evaluation and validation of model performance.
- Learn and apply new data science techniques and technologies.
- Support the continuous improvement of data infrastructure and analytical processes.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and teamwork abilities, essential for remote collaboration.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently and manage time effectively in a remote environment.
- Must have a reliable internet connection and a dedicated workspace.
Junior Data Analyst - Graduate Program
Posted 2 days ago
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Job Description
Program Highlights:
- Work on real-world data projects, contributing to key business initiatives.
- Develop proficiency in data analysis tools and software such as SQL, Python/R, and Tableau/Power BI.
- Learn to clean, transform, and analyze large datasets to identify trends, patterns, and insights.
- Create compelling data visualizations and reports to communicate findings to stakeholders.
- Receive comprehensive training and mentorship from senior data analysts and managers.
- Gain exposure to various business functions and understand how data drives decision-making across the organization.
- Participate in workshops, networking events, and professional development sessions.
- Collaborate with team members in a hybrid setting, balancing remote work with essential in-office collaboration.
- Opportunity to explore different areas of data analytics, including business intelligence, predictive modeling, and data governance.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Data Science, 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 principles.
- Familiarity with at least one programming language (e.g., Python, R) or database querying language (e.g., SQL) is a plus.
- Excellent communication and interpersonal skills, with the ability to work effectively in a team.
- Eagerness to learn and a passion for data.
- Ability to adapt to a hybrid work model, demonstrating self-discipline and effective time management.
- Enthusiasm for a career in data analytics within the financial services sector.
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Junior Data Analyst - Graduate Program
Posted 2 days ago
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Junior Data Scientist (Graduate Program)
Posted 3 days ago
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Job Description
As a Junior Data Scientist, your responsibilities will include:
- Assisting senior data scientists in collecting, cleaning, and preprocessing large datasets from various sources.
- Performing exploratory data analysis to identify trends, patterns, and insights.
- Developing and implementing statistical models and machine learning algorithms under supervision.
- Visualizing data and communicating findings through reports and presentations.
- Collaborating with research teams to understand their data needs and provide analytical support.
- Learning and applying advanced data science techniques and tools.
- Contributing to the documentation of data analysis processes and methodologies.
- Participating in team meetings and contributing to project discussions.
- Troubleshooting data-related issues and ensuring data integrity.
- Gaining exposure to various programming languages and software used in data science, such as Python, R, and SQL.
To be considered for this program, you must have recently completed or be on track to complete a Bachelor's or Master's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Physics, or a related discipline. Strong analytical and problem-solving skills are essential, along with a solid understanding of statistical concepts. Familiarity with programming languages like Python or R is highly desirable. Excellent communication and teamwork abilities are crucial for success in this collaborative research environment located in Cambridge, Cambridgeshire, UK . This is an unparalleled chance for ambitious graduates to launch their careers in data science within a supportive and intellectually stimulating setting.
Junior Data Analyst - Graduate Program
Posted 3 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in the collection, cleaning, and processing of large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Support the creation of reports, dashboards, and visualizations to communicate findings effectively.
- Collaborate with senior analysts and business stakeholders to understand data requirements.
- Help in testing and validating data models and analytical outputs.
- Learn and apply statistical methods and data mining techniques.
- Contribute to the documentation of data processes and analytical methodologies.
- Participate in team meetings, training sessions, and project discussions.
- Ensure data accuracy and integrity throughout all analytical processes.
- Develop a foundational understanding of business operations and how data drives strategic decisions.
- Assist in ad-hoc data analysis requests from different departments.
- Gain proficiency in data analysis tools and software.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel, including advanced formulas and pivot tables.
- Basic understanding of database concepts and SQL is a plus.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is advantageous.
- Excellent written and verbal communication skills.
- A keen eye for detail and a commitment to accuracy.
- Ability to work effectively both independently and as part of a team.
- Eagerness to learn and adapt to new technologies and analytical techniques.
- Demonstrated interest in data analysis and business intelligence.
- Strong organizational and time management skills.