371 Recent Graduate jobs in Bahrain

• Oversee the end-to-end graduate recruitment process, including sourcing, screening, interviewing, and selection.
• Develop and execute a comprehensive onboarding program for new graduate hires.
• Coordinate and manage all aspects of the graduate development curriculum, including training sessions, workshops, and mentorship programs.
• Serve as the primary point of contact for graduate participants, addressing inquiries and providing support.
• Organize and facilitate virtual networking events, career development sessions, and social activities for graduates.
• Track participant progress, performance, and feedback, providing regular updates to stakeholders.
• Collaborate with internal departments (HR, L&D, business units) to align program objectives with organizational needs.
• Manage program budgets, ensuring efficient allocation of resources.
• Maintain accurate records and generate reports on program metrics, successes, and areas for improvement.
• Continuously evaluate and enhance program content and delivery methods to optimize graduate experience and outcomes.
• Stay abreast of emerging trends in graduate talent management and remote employee engagement.

• Bachelor's degree in Human Resources, Business Administration, Education, Psychology, or a related field.
• Proven experience in program coordination, recruitment, or HR, preferably within a graduate or early talent program.
• Exceptional organizational and project management skills with the ability to manage multiple priorities simultaneously.
• Strong understanding of recruitment best practices and talent development principles.
• Excellent virtual communication, interpersonal, and presentation skills.
• Proficiency in HRIS, applicant tracking systems (ATS), and virtual collaboration tools (e.g., Zoom, Teams, Slack).
• Ability to work independently and proactively in a remote environment.
• High level of discretion and confidentiality.
• Experience in designing and delivering virtual training or onboarding programs is a significant plus.

• Participate in a structured onboarding and training program focused on core consulting skills and industry knowledge.
• Work on diverse client projects, contributing to analysis, research, and strategy development.
• Develop expertise in data analysis, market research, financial modeling, and presentation creation.
• Collaborate with senior consultants and client teams to deliver valuable insights and solutions.
• Assist in the preparation of reports, presentations, and other project deliverables.
• Gain exposure to various industries and business challenges.
• Develop strong communication, teamwork, and client-facing skills.
• Learn to manage time effectively and prioritize tasks in a fast-paced project environment.
• Engage with a global, remote-first team, utilizing advanced collaboration tools.
• Receive ongoing mentorship and professional development support.
• Contribute to internal firm initiatives and knowledge sharing.

• Recent graduate with a Bachelor's or Master's degree in Business, Economics, Finance, Engineering, or a related analytical field.
• Strong academic record with excellent grades.
• Demonstrated analytical and quantitative skills, with a keen eye for detail.
• Excellent problem-solving abilities and critical thinking capabilities.
• Strong written and verbal communication skills.
• Ability to work independently, demonstrate initiative, and manage multiple tasks effectively in a remote setting.
• Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).
• Eagerness to learn, adapt, and contribute to a team environment.
• Proactive and results-oriented mindset.
• Passion for consulting and delivering high-quality work.

Be a part of our graduate training program aimed at providing university graduates with the necessary skills to start their communications career.

You will be assisting the team with the development of PR and social media plans, supporting on researching and identifying industry trends, monitoring the media, competitive landscape and creative ideas, developing presentations and reports, among other content requirements. You will also assist the team with on-the-ground support during events and activations.

Candidates Should Have:

1. A basic understanding of different PR tactics, techniques, and tools
2. Excellent verbal and written communications, and research skills
3. The attitude and willingness to learn, improve and grow
4. Excellent knowledge of MS Office
5. Bilingual
6. Recent university graduate

Reporting Line: Communications Manager

• Assist senior analysts in collecting, cleaning, and organizing data from various sources.
• Perform exploratory data analysis to identify patterns, trends, and anomalies.
• Support the creation of reports and dashboards to visualize data insights.
• Contribute to data validation and quality assurance processes.
• Learn and apply statistical methods to analyze data.
• Help in the preparation of presentations summarizing findings and recommendations.
• Collaborate with team members to understand data requirements and project objectives.
• Maintain documentation of data sources, methodologies, and findings.
• Participate in team meetings and contribute to discussions.
• Develop foundational skills in data querying and manipulation using tools like SQL.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel or Google Sheets.
• Basic understanding of statistical concepts.
• Familiarity with data visualization principles is a plus.
• Eagerness to learn new tools and techniques, such as SQL, Python, or R.
• Excellent attention to detail and organizational skills.
• Good written and verbal communication abilities.
• Ability to work independently and as part of a remote team.
• Enthusiasm for a career in data analysis.

• Assist in data collection, cleaning, and pre-processing from various sources.
• Perform exploratory data analysis to identify trends and patterns.
• Contribute to the development and implementation of machine learning models.
• Collaborate with senior data scientists on data-driven projects.
• Develop data visualizations to communicate insights effectively.
• Learn and apply statistical techniques and algorithms.
• Assist in the evaluation and validation of model performance.
• Document methodologies and findings for project continuity.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics).
• Strong understanding of statistical concepts and principles.
• Proficiency in at least one programming language such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
• Basic knowledge of machine learning algorithms and concepts.
• Eagerness to learn and adapt to new technologies and methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

• Assisting senior data scientists in data cleaning, preprocessing, and feature engineering.
• Developing and implementing statistical models and machine learning algorithms.
• Performing exploratory data analysis to identify trends and patterns.
• Visualizing data and communicating findings to technical and non-technical audiences.
• Contributing to the development and deployment of data-driven solutions.
• Participating in code reviews and documentation of data science projects.
• Learning and applying new data science techniques and tools.
• Collaborating effectively with cross-functional teams in a virtual setting.
• Troubleshooting and debugging data-related issues.
• Staying updated with the latest advancements in data science and artificial intelligence.

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related quantitative field.
• Strong foundational knowledge 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).
• Basic understanding of database querying languages (e.g., SQL).
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to work effectively in a remote team.
• A keen interest in learning and developing expertise in data science.
• Previous internship or project experience in data analysis or a related field is a plus.
• Ability to work independently and manage time effectively in a remote setup.

• Assist senior data analysts in collecting, cleaning, and organizing data from various sources.
• Perform basic data analysis and identify initial trends or patterns under supervision.
• Develop data visualizations and charts to communicate findings effectively.
• Contribute to the creation of reports and dashboards.
• Learn and apply statistical methods and analytical techniques.
• Participate in team meetings and contribute to project discussions.
• Support the maintenance and documentation of data sets and analytical processes.
• Gain exposure to data warehousing concepts and database querying (SQL).
• Collaborate with cross-functional teams to understand data requirements.
• Undertake assigned training modules and educational resources to enhance analytical skills.
• Identify opportunities for process improvements within data handling and analysis.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel is required.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with programming languages like Python or R is a plus.
• Knowledge of SQL is an advantage.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Eagerness to learn and a strong desire to build a career in data analytics.
• Ability to work effectively as part of a team and follow instructions.
• A proactive and motivated attitude towards learning and contributing.

• Assist in the collection, cleaning, and pre-processing of large datasets from various sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Support senior data scientists in building and validating statistical models and machine learning algorithms.
• Develop data visualizations to effectively communicate insights and findings.
• Write and optimize code in Python or R for data analysis and modeling tasks.
• Participate in team meetings, brainstorming sessions, and project reviews.
• Contribute to the documentation of data pipelines, methodologies, and results.
• Learn and apply new data science techniques and tools.
• Assist in the preparation of reports and presentations for stakeholders.
• Collaborate with cross-functional teams to understand data requirements and project objectives.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Physics, Economics, or a related quantitative field.
• Strong foundation in statistical concepts and methods.
• 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, dplyr).
• Basic understanding of machine learning concepts and algorithms.
• Excellent analytical and problem-solving skills.
• Strong desire to learn and develop expertise in data science.
• Good communication and teamwork abilities.
• Eagerness to work in a hybrid environment, balancing remote and in-office responsibilities.
• Previous internship or project experience in data analysis is a plus.

• Assist in collecting and cleaning large datasets from various sources.
• Perform data analysis to identify trends, patterns, and insights.
• Develop and maintain reports and dashboards to communicate findings.
• Collaborate with senior analysts and cross-functional teams to understand data needs.
• Support the development of data models and analytical solutions.
• Ensure data accuracy and integrity throughout the analysis process.
• Participate in training sessions and professional development activities.
• Contribute to team meetings and brainstorming sessions.
• Adhere to data privacy and security policies.
• Learn and apply statistical techniques and data mining methods.

• Bachelor'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.
• Basic understanding of databases and SQL is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• A proactive attitude and a strong desire to learn.
• Prior internship or project experience in data analysis is beneficial but not required.
• Must be eligible to work in Bahrain.