2 692 Data Team jobs in Bahrain

Job Description
VAM Systems
is currently looking for
Finance Data Engineering Analyst
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)

• 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.

• 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).

• Design and architect end-to-end AI/ML solutions.
• Define AI strategies and roadmaps aligned with business objectives.
• Develop data pipelines for AI/ML model training and deployment.
• Select and configure appropriate AI/ML tools, frameworks, and platforms.
• Guide data engineers and ML engineers in solution development.
• Ensure scalability, performance, and security of AI solutions.
• Collaborate with stakeholders to gather requirements and define use cases.
• Oversee the deployment, monitoring, and maintenance of AI models.
• Evaluate and integrate emerging AI technologies.
• Provide technical leadership and mentorship to AI teams.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 7+ years of experience in AI/ML development and data science.
• Proven experience in architecting and deploying complex AI/ML solutions.
• Expertise in machine learning algorithms, deep learning frameworks, and statistical modeling.
• Strong knowledge of big data technologies and cloud AI platforms (AWS, Azure, GCP).
• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Excellent communication, presentation, and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Experience with MLOps and productionizing AI models.

• Data wrangling, cleaning, and preprocessing using Python/R.
• Exploratory Data Analysis (EDA) and statistical analysis.
• Building and evaluating machine learning models (regression, classification, clustering).
• Data visualization to communicate insights effectively.
• Understanding and applying A/B testing principles.
• Collaborating with senior data scientists on project tasks.
• Learning cloud platforms and big data technologies.

• Recent graduate with a Bachelor's or Master's degree in a quantitative discipline.
• Foundational knowledge of statistics and programming (Python or R).
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication skills.
• Enthusiasm for data science and continuous learning.
• Ability to work independently and manage time effectively in a remote environment.