19 Graduate Trainees jobs in the United Kingdom
Data Science Graduate Program Analyst
Posted today
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Program Overview:
- Duration: 12 months, with potential for full-time employment upon successful completion.
- Rotation through key business units, including Analytics, Risk Management, and Marketing.
- Exposure to cutting-edge data science tools and technologies.
- Mentorship from experienced data scientists and industry professionals.
- Development of core competencies in statistical analysis, machine learning, data mining, and programming.
- Project-based learning, applying theoretical knowledge to practical business problems.
- Opportunities to present findings and recommendations to senior leadership.
- Assist in collecting, cleaning, and transforming large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Develop and implement statistical models and machine learning algorithms to address specific business needs.
- Contribute to the development of predictive models for forecasting and risk assessment.
- Create clear and effective data visualizations to communicate findings.
- Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
- Participate in code reviews and contribute to the development of robust data science solutions.
- Document methodologies, code, and results thoroughly.
- Stay updated on the latest advancements in data science and artificial intelligence.
- Recent graduate (within the last two years) with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong academic record with excellent grades.
- Solid understanding of statistical concepts and machine learning principles.
- Proficiency in programming languages such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a team.
- Eagerness to learn and adapt in a fast-paced environment.
- Must be eligible to work in the UK.
Junior Data Scientist Graduate Program
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Program Highlights:
- Structured learning modules covering Python/R, SQL, statistical analysis, machine learning algorithms, and data visualization tools.
- Assignment to challenging data-driven projects across various business units.
- Mentorship from senior data scientists and industry experts.
- Exposure to real-time data pipelines and cloud computing environments.
- Development of a capstone project to showcase learned skills.
- Opportunities to present findings and insights to key stakeholders.
- Continuous feedback and performance evaluation to foster growth.
- Networking opportunities with professionals within the organization.
Ideal Candidate Profile:
- Recent graduate (within the last 2 years) with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.
- Strong foundational knowledge of statistical concepts and machine learning principles.
- Proficiency in at least one programming language such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with SQL for data extraction and manipulation.
- Excellent analytical and problem-solving abilities.
- Strong written and verbal communication skills.
- Ability to work independently and proactively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- A passion for data and uncovering insights.
Junior Data Scientist Graduate Program
Posted 1 day ago
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- Assisting in the collection, processing, and cleaning of large datasets.
- Performing exploratory data analysis to identify patterns and trends.
- Developing and implementing statistical models and machine learning algorithms.
- Visualizing data to communicate findings effectively to technical and non-technical audiences.
- Collaborating with senior data scientists on project design and execution.
- Contributing to the development of data-driven solutions and insights.
- Learning and applying new data science techniques and tools.
- Participating in code reviews and contributing to the team's knowledge base.
- Documenting methodologies, findings, and project progress.
- Presenting results and insights to stakeholders.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning principles.
- Proficiency in programming languages such as Python or R.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Eagerness to learn and adapt to new technologies.
- Ability to work effectively both independently and as part of a team.
- Candidates must have the right to work in the UK.
This program provides comprehensive training, a competitive stipend, and the potential for future full-time employment. It's an ideal launchpad for a successful career in the dynamic field of data science.
Junior Data Analyst - Graduate Program
Posted 1 day ago
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- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform data analysis using statistical techniques to identify trends, patterns, and insights.
- Develop reports, dashboards, and visualizations to communicate findings effectively to stakeholders.
- Support senior analysts in developing data models and predictive analytics.
- Collaborate with cross-functional teams to understand data needs and provide analytical support.
- Ensure data accuracy and integrity throughout the analysis process.
- Learn and apply various data analysis tools and software.
- Participate in team meetings and contribute to project discussions.
- Assist in documenting data processes and methodologies.
- 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 with a keen eye for detail.
- Proficiency in using spreadsheet software (e.g., Microsoft Excel) and basic understanding of databases.
- Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
- Basic knowledge of data visualization tools (e.g., Tableau, Power BI) is desirable.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a team in a remote setting.
- Eagerness to learn and develop new skills in data analysis and interpretation.
Junior Data Analyst Graduate Program
Posted 1 day ago
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Junior Software Developer - Graduate Program
Posted 1 day ago
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As a Junior Software Developer, you will:
- Contribute to the design, development, testing, and deployment of high-quality software applications.
- Work closely with senior developers and mentors to learn best practices in coding, software architecture, and agile methodologies.
- Participate in code reviews and contribute to technical discussions.
- Assist in debugging and resolving software defects.
- Develop and maintain technical documentation.
- Gain exposure to a variety of programming languages and technologies, including Java, Python, C#, and JavaScript.
- Collaborate with product managers and designers to understand user needs and translate them into technical solutions.
- Participate in team meetings, sprint planning, and retrospectives.
- Continuously learn and adapt to new technologies and industry trends.
- Help build a culture of innovation and technical excellence within the development team.
We are looking for candidates who possess a strong academic background in Computer Science, Software Engineering, or a related field, or equivalent practical experience. Familiarity with version control systems like Git is a plus. A strong aptitude for problem-solving, logical thinking, and a keen eye for detail are essential. You should have excellent communication skills and a collaborative spirit, eager to learn and contribute within a team setting. While prior professional experience is not required, personal projects or contributions to open-source software are highly regarded. This program is designed to provide comprehensive training and development, setting you on a path to a successful career in software engineering. Join us and help shape the future of technology!
Junior Data Analyst - Graduate Program
Posted 1 day ago
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Program Overview:
- Comprehensive 12-month rotational program exposing you to different facets of data analytics within the firm.
- Hands-on experience in data collection, cleaning, processing, and interpretation.
- Opportunity to work on real-world projects, contributing to strategic business initiatives.
- Extensive training in data analysis tools and techniques, including SQL, Python, R, and data visualization software.
- Mentorship from experienced data professionals and career development support.
- Development of essential soft skills, including communication, problem-solving, and teamwork in a virtual setting.
- Exposure to various business units, such as marketing, operations, risk management, and finance.
- Participation in group projects and presentations to senior leadership.
- Ongoing learning and development opportunities to stay at the forefront of data analytics.
- A chance to build a strong foundation for a successful career in the financial industry.
- Recent graduate 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.
- Strong analytical and problem-solving skills with a passion for data.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with SQL for database querying.
- Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work independently, manage time effectively, and collaborate in a remote team environment.
- A proactive attitude, eagerness to learn, and a strong work ethic.
- Understanding of statistical concepts and data visualization techniques is a plus.
- Must be eligible to work in the UK.
- Must have a suitable remote working environment with reliable internet access.
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Junior Data Analyst - Graduate Program
Posted 2 days ago
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As a Junior Data Analyst, your responsibilities will include data extraction, cleaning, and manipulation using SQL and Python. You will assist in developing reports and dashboards using visualization tools such as Tableau or Power BI to present findings clearly and concisely. Participating in data modeling efforts, statistical analysis, and contributing to the interpretation of results will be key aspects of your role. You'll also support the team in identifying trends, anomalies, and opportunities within large datasets. Continuous learning and development are strongly encouraged, with ample opportunities to expand your skill set and explore different facets of data analytics.
We are seeking highly motivated individuals with a strong analytical mindset and a passion for data. A Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline is required. While prior work experience is not essential, demonstrable projects or coursework involving data analysis are highly valued. Proficiency in SQL and familiarity with at least one programming language (preferably Python or R) is a plus. Excellent problem-solving skills, attention to detail, and strong communication abilities are essential. This is a hybrid role, requiring a blend of remote work and in-office collaboration at our London, England, UK office. Join us to build a successful career in data analytics.
Junior Data Analyst - Graduate Program
Posted 2 days ago
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Your responsibilities will include collecting and cleaning data from various sources, performing statistical analysis, and creating insightful visualizations to communicate findings. You will assist in developing dashboards and reports that support data-driven decision-making across different departments. This role requires a keen eye for detail, a passion for uncovering patterns in data, and a strong desire to learn and develop new skills. The program emphasizes hands-on learning, problem-solving, and the application of analytical techniques.
We are looking for enthusiastic and highly motivated graduates with a recent degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. No prior professional experience is required, but a solid understanding of statistical concepts and familiarity with data analysis tools (e.g., Excel, basic SQL, Python/R basics) would be advantageous. Excellent analytical and problem-solving skills, along with strong communication and interpersonal abilities, are essential. You should be a team player with a proactive attitude and a commitment to continuous learning.
This is a fantastic pathway into a data-centric career, providing exposure to diverse business challenges and the opportunity to grow within a supportive environment. The program offers structured training, mentorship, and clear career progression opportunities. This hybrid role allows for a mix of remote work and on-site collaboration at our offices in Sunderland, Tyne and Wear, UK .
Tech Accelerate Graduate Program - Software Engineer
Posted 9 days ago
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Are you a new or upcoming graduate seeking an entry-level opportunity in the realm of Software Engineering?
Look no further than the prestigious Risk Solutions Tech Accelerate Graduate Program.
About the Business
LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry-specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier, and processes more efficient. You can learn more about LexisNexis Risk at the link below, our Team
LexisNexis Risk Solutions is a trusted data analytics provider, empowering organizations to manage risks, discover opportunities, and drive improved results. Our commitment to excellence and security enables well-informed decisions. Our commitment to excellence is unwavering as we deliver targeted solutions that empower well-informed decisions while upholding the highest standards of security and privacy. If you're eager to join a dynamic and innovative software development team, with a strong technology infrastructure, and contribute to products that truly make a difference, we invite you to apply for our 2026 Technology Graduate Program - Entry Level Software Engineer role.
About the Role
The Risk Solutions Technology Graduate Program is a 12-month experience with two six-month rotations. Participants gain hands-on experience in big data, AI, SRE, DevOps, and security engineering. They also get exposure to leading cloud platforms like AWS and Azure. The program focuses on technical and personal development, offering mentorship, performance feedback, and extensive training. Emphasis is placed on utilizing data for good, supporting key markets in insurance, healthcare, and government, and contributing to innovative product development.
Responsibilities
+ Writing and reviewing portions of detailed specifications for developing system components of simple complexity.
+ Implementing successful development processes, coding best practices, and code reviews under senior-level engineers' guidance.
+ Operating in various development environments and collaborating with key stakeholders.
+ Completing simple bug fixes and applying knowledge of test-driven development.
+ Collaborating with stakeholders to gather and analyze requirements for software development projects.
+ Resolving basic technical issues and staying updated on new technology developments.
+ Demonstrating basic knowledge of software development methodologies and data manipulation languages.
+ Understanding data modeling principles and applicable development languages.
Requirements
+ Have completed or will complete a bachelor's in Computer Science or a related field of study. Applicants must have a graduation date between December 2025 and May 2026 to be considered.
+ Possess excellent communication skills, both written and verbal, to effectively collaborate with team members.
+ Be proficient in development languages such as Java/J2EE, Python, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, Linux, and .Net.
+ Be familiar with software development methodologies (e.g., Agile, Waterfall).
+ Be knowledgeable about data manipulation languages and data modeling principles.
+ Have the ability and desire to learn new processes and technologies.
+ Be knowledgeable about test-driven development.
Working for you
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
+ Generous holiday allowance with the option to buy additional days
+ Health screening, eye care vouchers and private medical benefits
+ Wellbeing programs
+ Life assurance
+ Access to a competitive contributory pension scheme
+ Save As You Earn share option scheme
+ Travel Season ticket loan
+ Electric Vehicle Scheme
+ Optional Dental Insurance
+ Maternity, paternity and shared parental leave
+ Employee Assistance ProgrammeAccess to emergency care for both the elderly and children
+ RECARES days, giving you time to support the charities and causes that matter to you
+ Access to employee resource groups with dedicated time to volunteer
+ Access to extensive learning and development resources
+ Access to employee discounts scheme via Perks at Work
Learn more about the LexisNexis Risk team and how we work here
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RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.