What Jobs are available for Data in Bahrain?
Showing 2626 Data jobs in Bahrain
Data Science Intern
Posted 13 days ago
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Job Description
- Assisting in the collection, cleaning, and preprocessing of large datasets from various sources.
- Performing exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Supporting the development and implementation of machine learning models under the guidance of senior data scientists.
- Contributing to the visualization of data and findings using tools like Matplotlib, Seaborn, or Tableau.
- Helping to document methodologies, code, and results.
- Participating in team meetings and presenting findings or progress updates.
- Researching and learning new data science techniques and tools.
- Collaborating with other interns and team members on shared projects.
- Assisting in the testing and validation of data models and algorithms.
- Gaining exposure to cloud platforms and big data technologies.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Solid 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 libraries (e.g., Pandas, NumPy) and data visualization tools.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Enthusiasm for learning and a proactive attitude.
- Experience with SQL is a plus.
- Familiarity with version control systems like Git is beneficial.
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Data Science Apprentice
Posted 15 days ago
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Job Description
As a Data Science Apprentice, you will embark on a structured learning journey covering the core principles of data analysis, machine learning, statistical modeling, and data visualization. You will work alongside experienced data scientists, assisting them in collecting, cleaning, analyzing, and interpreting large datasets to derive actionable insights. This apprenticeship is ideal for individuals with a strong aptitude for numbers, problem-solving, and a passion for uncovering hidden patterns within data.
What You Will Learn and Do:
- Assist in data collection, cleaning, and preprocessing using various tools and techniques.
- Learn and apply statistical methods for data analysis and interpretation.
- Gain hands-on experience with machine learning algorithms and their implementation.
- Develop data visualization skills to communicate findings effectively.
- Support senior data scientists in developing predictive models and data-driven solutions.
- Participate in team meetings and contribute to project discussions.
- Understand and adhere to data privacy and security best practices.
- Develop proficiency in programming languages commonly used in data science, such as Python and R.
- Explore various data science tools and platforms.
- Receive mentorship and guidance from experienced data science professionals.
- A strong academic background, ideally with a degree or strong performance in a STEM field (e.g., Mathematics, Statistics, Computer Science, Engineering).
- A genuine passion for data and a keen analytical mindset.
- Excellent problem-solving skills and attention to detail.
- Basic understanding of programming concepts; experience with Python or R is a plus but not mandatory.
- Strong communication skills, both written and verbal.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Must be legally eligible to work in the designated region (or capable of working remotely from an approved location).
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Data Science Apprentice
Posted 18 days ago
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Job Description
As a Data Science Apprentice, you will assist in data collection, cleaning, and preprocessing from various sources. You will support the team in developing and testing data models, performing exploratory data analysis, and generating insights to inform business decisions. Learning to use data visualization tools to communicate findings effectively to both technical and non-technical audiences will be a key focus. You will also gain exposure to different programming languages and software used in data science, such as Python, R, SQL, and relevant libraries.
The ideal candidate should have a strong analytical mindset, a keen interest in data science, and a desire to learn. While prior experience is not essential, a foundational understanding of mathematics, statistics, or programming is beneficial. Excellent problem-solving skills, attention to detail, and strong communication abilities are required. This apprenticeship is an excellent pathway for individuals looking to start a career in data science and contribute to innovative projects within a supportive team. Join us at our location in Riffa, Southern, BH , and embark on an exciting journey into the world of data.
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Junior Analyst - Data Science
Posted 10 days ago
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Job Description
The ideal candidate possesses a strong foundation in statistical principles and data analysis techniques. Proficiency in programming languages such as Python or R is essential, along with experience using relevant libraries (e.g., Pandas, NumPy, Scikit-learn). Familiarity with SQL for database querying is also required. A Bachelor's degree in a quantitative field like Computer Science, Statistics, Mathematics, Economics, or a related discipline is mandatory. Excellent problem-solving skills, attention to detail, and a passion for uncovering insights from data are crucial. This role is based in **Riffa, Southern, BH** and requires a hybrid work arrangement, offering flexibility with a balance of in-office collaboration and remote work. Strong communication skills, both written and verbal, are necessary to effectively present findings to technical and non-technical audiences. You will have the opportunity to learn and grow within a supportive team, contributing to impactful business decisions.
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Graduate Analyst - Data Science
Posted 21 days ago
Job Viewed
Job Description
Responsibilities include:
- Assisting in the collection, cleaning, and pre-processing of large datasets from various sources.
- Performing exploratory data analysis to identify patterns, trends, and anomalies.
- Developing and implementing statistical models and machine learning algorithms under guidance.
- Creating data visualizations and dashboards to communicate findings effectively.
- Supporting senior data scientists in hypothesis testing and experimental design.
- Contributing to the development of data-driven solutions to business problems.
- Writing and maintaining code for data analysis and model implementation (e.g., Python, R).
- Collaborating with cross-functional teams to understand data needs and deliver insights.
- Documenting methodologies, processes, and findings clearly and concisely.
- Staying updated with the latest advancements in data science and machine learning.
- Participating in team meetings and contributing to discussions on analytical approaches.
- Assisting in the validation and testing of developed models.
We are looking for candidates with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field. Strong programming skills in Python or R, and familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) are essential. A solid understanding of statistical concepts and data modeling techniques is required. Excellent analytical, problem-solving, and critical thinking skills are paramount. Good communication and teamwork abilities are also necessary. Previous internship experience in data analysis or a related field is a plus. Eagerness to learn and a passion for uncovering insights from data are key attributes for this role. This is a fantastic platform to build a career in the exciting field of data science.
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Data Engineer
Posted today
Job Viewed
Job Description
Experience Required:
Experience in the following tools (3+ years)
- SAS Management Console
- SAS DI, SAS Enterprise Guide
- Base SAS
- SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio, - SAS Information Maps, SAS BI
- SAS Stored Process, SAS Datasets & Library
- Experience to configure/install applications in the servers(windows/Linux/Unix) and
basic knowledge of DNS, Ports, and Firewalls (3+ years)
- Experience managing and further developing distributed systems and
clusters for both batch as well as streaming data (Hadoop/Spark and/or Kafka/Flink)
- Experience in handling semi-structured data sets(eg. JSON,XML) (3+ years)
- Experience in C# or Java (3+ years)
- Banking and Finance, Financial accounting and Reporting Environment
- Expertise in writing advanced SQL Query, Stored Procedures and functions
- ETL Tools SAS platform Tools like SAS DI / SAS Enterprise Guide andMicrosoft SQL Server.
- Sound understanding of Financial Reporting(Balance Sheet/Profit and Loss) and Risk Reporting.
- Developing within database and specifically Microsoft SQL Server and/or Oracle (minimum of 3+ years required).
Responsibility
- Consolidate and analyze financial data (budgets, income statement forecasts ,Balance Sheet, Profit and Loss) taking into account company s goals and financial standing
- Build Stored procedure and ETL Jobs to Reconcile transactions by comparing and correcting data
- Contribute to data warehouse design and components, relational database management systems, and database design solutions
- Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements
- Build SAS EG,SAS DI jobs
- Research and resolve discrepancies in financial data ,Manage the month-end close process.
Skills
- Solving Complex Problems
- Testing and Troubleshooting
- Regulatory Compliance
- Financial Reporting
- ETL/ETT/ETM Tools and Process
- Risk Management
- Data Warehouses
- Data Marts
- Balance Sheet,Profit & Loss,Market Risk
- Data Modeling
- SAS, SAS BI, MS SQL Server, T-SQL in data warehousing/batch
Qualification
- BE Computer Science and Engineering
Professional Training
- SQL Development, SAS EG, SAS DI, Object-orientated Programming (e.g. C#, Java)
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Data Engineer
Posted today
Job Viewed
Job Description
Job Description
VAM Systems
is currently looking for
Data Engineer
for our
Bahrain
operations with the following skillsets & terms and conditions:
Qualifications :
- Bachelor's Degree
- Engineer (B.E.)/ MCA
- Certification in SQL/SAS
Experience : 5-8 years
Key Objectives
- Support the finance team on data and analytics activities and Dataware House (DWH) based on a profound knowledge of banking, financial reporting, and data engineering.
Analytical/Technical Skills
:
- Understanding finance and risk reporting systems/workflow with previous experience participating in system implementation is desirable.
- Hands-on experience on MS Excel
- Prior project management/stakeholder management is desired
Responsibilities
- Coordinate and Interact with the finance business partner to support daily finance data analysis, hierarchical mappings, and understanding (root cause analysis) of identified data issues.
- Exceptional comprehension of finance, risk, and data warehousing to guarantee accurate and reconciled reporting (e.g., balance-sheet exposure, profit and loss).
- Mastering the Intersection of Finance, Data Analysis and Data Engineering.
- Conduct review of data quality and reconciliations for finance reports and maintenance of reporting logic/programs.
- Support the finance team in ad-hoc requests and organizing data for financial/regulatory reports, data mapping and performing UAT.
- Ensuring the consistency of bank's data architecture, data flows, and business logic in accordance with Data Management guidelines, development standards, and data architecture by working closely with Finance and data Engineering teams to identify issues and develop sustainable data-driven solutions.
- Expertise in writing and documenting complex SQL Query, Procedures, and functions creating algorithms that automate important financial interactions and data controls.
- Experience in handling SAS ETL jobs, data transformation, validation, analysis and performance tuning.
- SAS skillset, with Strong Experience in SAS Management Console, SAS DI, SAS Enterprise Guide, Base SAS, SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio, SAS Information Maps, SAS BI, SAS Stored Process, SAS Datasets & Library
Terms and conditions
Joining time frame: days)
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Data Engineer
Posted today
Job Viewed
Job Description
We are pleased to announce an opening for a
Data Engineer
with strong expertise in the
banking domain
. This role requires a professional who can effectively manage financial data, contribute to data warehouse initiatives, and ensure accuracy in reporting and reconciliation processes.
Requirements and responsibilities:
- Recent banking domain experience
- Consolidate and analyze financial data (budgets, income statement forecasts ,Balance Sheet, Profit and Loss) taking into account company's goals and financial standing
- Build Stored procedure and ETL Jobs to Reconcile transactions by comparing and correcting data
- Contribute to data warehouse design and components, relational database management systems, and database design solutions
- Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements.
- Build SAS EG,SAS DI jobs
- Research and resolve discrepancies in financial data ,Manage the month-end close process.
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Graduate Trainee - Data Science
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Assist senior data scientists in data collection, cleaning, and pre-processing tasks.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Develop data visualizations to communicate findings effectively.
- Support the development and implementation of machine learning models under guidance.
- Write and optimize SQL queries for data extraction and manipulation.
- Contribute to the documentation of data science processes and findings.
- Participate in team meetings and present project updates.
- Learn and apply various data science methodologies and tools.
- Assist in A/B testing and experiment design.
- Adhere to data privacy and security protocols.
- Recent Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong foundational knowledge of statistics, probability, and linear algebra.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with SQL and database concepts.
- Basic understanding of machine learning concepts and algorithms.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Enthusiasm for the field of data science and its applications.
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Data Science Graduate Trainee
Posted 2 days ago
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Job Description
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