128 Graduate Roles jobs in the United Kingdom

Are you a Performing Arts graduate looking to use your creativity, energy, and communication skills to inspire the next generation?
Tradewind Recruitment is currently seeking enthusiastic and motivated graduates to work as Teaching Assistants in a range of welcoming and inclusive primary schools across South Liverpool in a variety of Full Time roles.

This is an excellent opportunity to gain classroom experience, develop your skills, and make a real difference in children's education while considering a future career in teaching or education.

As a Teaching Assistant, you will:

• Support children across Key Stage 1 and Key Stage 2 in their learning.

• Provide 1:1 support and small group interventions for pupils with Special Educational Needs and Disabilities (SEND), including autism, ADHD, and social, emotional, and mental health needs.

• Use your creativity and performing arts background to engage pupils in lessons and activities.

• Help to manage classroom behaviour and encourage positive interactions.

• Work closely with teachers and the SENCO to deliver tailored support.

We're looking for graduates who are:

• Confident, outgoing, and creative - with the ability to engage and inspire young learners.

• Experienced in working with children (through schools, youth groups, drama workshops, or similar roles).

• Compassionate, patient, and able to adapt to meet the needs of SEND pupils.

• Passionate about education and making a positive impact on children's lives.

• Flexible, reliable, and willing to learn.

• Gain invaluable classroom experience in South Liverpool primary schools.

• Opportunities to develop your skills in SEND support.

• Ongoing training and development opportunities.

• Supportive consultants to help you every step of the way.

• Competitive pay rates.

If you're a Performing Arts graduate eager to bring your skills into education and support SEND children, we'd love to hear from you!

Call Tradewind on (phone number removed)
Email Oli at (url removed)
Or apply today!

• Proof of Right to Work in the UK

• Enhanced DBS on the Update Service (or willingness to apply)

• Overseas Police Clearance (if applicable)

• An up-to-date CV covering the last 10 years (minimum)

Are you a recent graduate seeking a career in Education?

Are you interested in supporting Primary or Secondrary school students on a long term basis?

Do you want to get relevant experience in order to apply for a PGCE or Schools Direct Course?

CER Education are recruiting for dedicated Learning Support Assistants on a temporary and long term basis within Liverpool schools due to expansion. Experience working with children is desirable but not essential.

The roles are to start As soon as possible and there will be a range of full time and part time positions available as well as some Adhoc roles.

Graduates with all degree backgrounds are welcome to apply.

The successful candidate will:
* Possess the ability to develop professional working relationships with pupils and staff
* Have a positive impact on learning and behaviour
* Implement effective classroom management in line with the school's behaviour management policy
* Offer support to staff and children

As part of the CER supply team in Liverpool you will benefit from :-

• Access to our free Train to be a Teaching Assistant course
• A dedicated experienced Consultant who will support you in finding the right roles, and listen to your needs
• Working for a reputable well established education agency in the heart of Liverpool city centre
• Plenty of variety and choice of work at every school level
• Competitive rates of pay, paid weekly via PAYE and a Guaranteed Pay Scheme
• Fully Compliant with AWR to make sure you receive the correct pay and working conditions
• Excellent opportunities for CPD including interactive workshops and webinars and SEND support
• Generous Recommend a Friend Referral Scheme - 250 for referring another teacher to CER Education!

All candidates are required to hold an up to date Enhanced DBS Disclosure check, or be in a position to apply for one.

If this role is of interest to you, and you would like to speak to one of our team, please apply today and we will be in touch.

• 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.

• 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.

• 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.

• Assist in collecting, cleaning, and transforming large datasets.
• Support the development and implementation of machine learning models.
• Perform data analysis and interpret results to derive actionable insights.
• Contribute to the creation of data visualizations and reports.
• Collaborate with senior data scientists on research and development projects.
• Help in validating model performance and identifying areas for improvement.
• Communicate findings and insights to team members and stakeholders.
• Participate in coding reviews and contribute to best practices.
• Learn and apply new data science techniques and tools.

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Strong understanding of statistical concepts and machine learning algorithms.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, Scikit-learn, TensorFlow).
• Familiarity with SQL and database querying.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills.
• Ability to work independently and collaboratively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.

• Assist in the collection, cleaning, and preparation of data from various sources.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Support the creation of reports, dashboards, and visualizations.
• Help to troubleshoot data issues and ensure data integrity.
• Assist in the development and maintenance of databases.
• Conduct ad-hoc data analysis to support business requests.
• Learn and apply statistical analysis techniques.
• Collaborate with senior analysts and other team members.
• Contribute to data-driven projects and initiatives.
• Maintain accurate documentation of data processes and findings.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Data Science).
• Strong analytical and problem-solving abilities.
• Proficiency in Microsoft Excel.
• Familiarity with SQL for database querying is a plus.
• Basic understanding of programming languages like Python or R is advantageous.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Eagerness to learn and a proactive attitude.
• Ability to work effectively in a team.

• 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 to visualize key performance indicators (KPIs) and present findings to stakeholders.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Contribute to the development and implementation of data quality checks and validation processes.
• Learn and apply advanced analytical techniques under the guidance of senior analysts.
• Participate in team meetings, knowledge-sharing sessions, and project discussions.

• Recent graduate (within the last 2 years) with a degree in a quantitative field such as Mathematics, Statistics, Computer Science, Economics, or a related discipline.
• Strong analytical and problem-solving skills with a keen eye for detail.
• Familiarity with at least one programming language (Python or R) is highly desirable.
• Basic understanding of database concepts and SQL.
• Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.
• Proactive and eager to learn attitude, with a passion for data and technology.
• Ability to work independently and collaboratively in a remote team environment.

• Assist senior data scientists in collecting, cleaning, and pre-processing large datasets from various sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Develop and implement statistical models and machine learning algorithms under guidance.
• Contribute to the development of predictive models and analytical solutions.
• Create compelling data visualizations and reports to communicate findings to technical and non-technical audiences.
• Collaborate with cross-functional teams to understand business problems and translate them into data-driven questions.
• Participate in code reviews and contribute to the improvement of data science methodologies and tools.
• Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
• Document methodologies, findings, and processes clearly and comprehensively.
• Engage in continuous learning and skill development through training sessions and self-study.
• Support the deployment and monitoring of data science models in production environments.

• A recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Physics, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and machine learning techniques.
• Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
• Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
• Knowledge of SQL for database querying.
• Excellent analytical and problem-solving skills with meticulous attention to detail.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively in a remote team environment.
• A proactive attitude and eagerness to learn and take on new challenges.
• Previous internship or project experience in data analysis or a related field is advantageous but not mandatory.

• Assist in data collection, cleaning, and preprocessing from various sources.
• Perform basic statistical analysis to identify trends and patterns.
• Support the creation of data visualisations and reports using tools like Tableau or Power BI.
• Learn and apply SQL for data querying and manipulation.
• Collaborate with senior team members on data-related projects.
• Help document data sources, methodologies, and findings.
• Participate in training sessions and continuously develop analytical skills.
• Contribute to ad-hoc data analysis requests from different departments.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering).
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel; experience with Python or R is a plus.
• Familiarity with database concepts and SQL is desirable.
• Excellent communication and interpersonal skills.
• Eagerness to learn and adapt in a remote environment.
• A strong work ethic and attention to detail.