56 Data Science jobs in Bahrain

Data Science Manager

Manama, Capital The Family Office Company BSC (c)

Posted 2 days ago

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Job Description

Overview

Data Science Manager & Head of Recommendations and Personalization to lead the development of intelligent, data-driven client experiences across our digital platforms. You will spearhead the design and implementation of machine learning models for personalized investment recommendations, content targeting, and client engagement optimization. This is a high-impact role for a strategic data leader who thrives in a fast-paced environment and has experience building and scaling personalization systems—ideally in fintech, digital wealth, or consumer platforms.

Responsibilities
  • Strategy & Leadership
    Define the personalization and recommendation strategy aligned with business goals and client experience vision.
  • Team leadership
    Lead, mentor, and grow a team of data scientists and machine learning engineers.
  • Cross-functional collaboration
    Collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.
  • Data Science & Modeling
    Design, build, and deploy ML/AI models for:
    • Personalized investment recommendations
    • Smart content curation
    • Behavioral and predictive analytics
    • Funnel optimization and conversion predictions
    Drive experimentation and continuous model performance improvement using A/B testing and data validation techniques.
  • Governance & Compliance
    Ensure model explainability, fairness, and compliance with relevant data privacy regulations.
Infrastructure & Data
  • Personalization Infrastructure
    Architect and oversee the personalization engine powering mobile, web, and CRM systems.
  • Real-time Processing
    Implement real-time data processing pipelines for adaptive personalization.
  • Data Quality
    Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.
Insights & Measurement
  • Client-Centric Data Insights
    Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.
  • Metrics & Dashboards
    Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.
Qualifications
  • Master’s or PhD in Data Science, Machine Learning, Computer Science, or related field.
  • 6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
  • Proven experience developing personalization and recommendation systems at scale.
  • Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience with data platforms such as Databricks, AWS/GCP/Azure, and real-time data systems (e.g., Kafka).
  • Background in fintech, wealth management, or e-commerce personalization is a strong plus
About The Family Office

The Family Office is an independent wealth management firm offering customized investment solutions in alternative asset classes, including private equity, private debt, and real estate. Serving high-net-worth individuals and families, we provide tailored strategies to address unique financial needs with a focus on transparency, diversification, and long-term value. With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations.

Job Details
  • Seniority level : Mid-Senior level
  • Employment type : Full-time
  • Job function : Engineering and Information Technology
  • Industry : Investment Management
  • Location : Manama, Capital Governorate, Bahrain
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Data Science Manager

Manama, Capital SWATX

Posted 10 days ago

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Job Description

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

  • Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
  • Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
  • Oversee the design and implementation of innovative data science projects that drive value for the organization
  • Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
  • Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
  • Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
  • Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
  • Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate

Requirements

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
  • Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
  • Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
  • Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
  • Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
  • Excellent project management skills and ability to prioritize tasks in a fast-paced environment
  • Strong analytical and problem-solving skills with attention to detail
  • Exceptional communication skills, both verbal and written, in English and Arabic
  • Proven capability to drive collaboration across teams and influence senior stakeholders

Preferable Certificates:

  • Certified Data Scientist (CDS)
  • Microsoft Certified: Azure Data Scientist Associate
  • Google Cloud Professional Data Engineer
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Data Science Intern

Southern, Southern BHD1000 month WhatJobs

Posted 1 day ago

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intern
Our client, a pioneering technology firm specializing in AI-driven solutions, is offering an exciting opportunity for a motivated Data Science Intern to join their innovative team. This is a fully remote, paid internship designed for ambitious individuals eager to gain hands-on experience in the field of data science. You will work alongside experienced data scientists on real-world projects, contributing to the development and deployment of advanced analytical models. This role provides an unparalleled chance to learn, grow, and make a meaningful contribution in a dynamic, fast-paced environment.

Responsibilities:
  • Assist in data collection, cleaning, and preprocessing from various sources.
  • Support the development and implementation of machine learning models and algorithms.
  • Conduct exploratory data analysis (EDA) to identify trends and patterns.
  • Visualize data and model results using relevant tools and libraries.
  • Collaborate with the data science team on ongoing projects and research initiatives.
  • Document code, methodologies, and findings thoroughly.
  • Learn and apply new data science techniques and technologies.
  • Participate in team meetings and contribute ideas for project improvements.
  • Assist in the evaluation and testing of data models.
  • Gain exposure to cloud computing platforms and big data technologies.
  • Present findings and insights to the team at the conclusion of the internship.

Qualifications:
  • Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Strong foundation in statistics, mathematics, and machine learning concepts.
  • Familiarity with programming languages such as Python or R.
  • Experience with data manipulation libraries (e.g., Pandas, NumPy).
  • Basic understanding of machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
  • Excellent analytical and problem-solving skills.
  • Ability to work independently and as part of a remote team.
  • Strong written and verbal communication skills.
  • Eagerness to learn and adapt to new technologies.
  • Access to a reliable computer and high-speed internet connection.
  • Prior personal projects or academic work in data science is a plus.

This internship is an ideal stepping stone for aspiring data scientists seeking practical experience and mentorship within a forward-thinking company. Embrace this chance to shape your career.
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Senior Data Science Manager

Manama, Capital SWATX

Posted 10 days ago

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Job Description

SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities:

  • Develop and implement the overall data science vision, strategy, and framework to align with organizational goals
  • Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning
  • Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights
  • Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency
  • Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges
  • Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies
  • Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth
  • Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies

Requirements

  • Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field
  • A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams
  • Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark)
  • Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies
  • Proven track record of successfully leading and delivering large-scale data science projects that drive business value
  • Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses
  • Strong project management skills and ability to lead teams in a fast-paced environment
  • Excellent analytical and strategic thinking skills, with a focus on results
  • Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic

Preferable Certificates:

  • Certified Data Scientist (CDS)
  • Microsoft Certified: Azure Data Scientist Associate
  • Google Cloud Professional Data Engineer
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Graduate Data Science Analyst

666 Southern, Southern BHD25000 Annually WhatJobs

Posted 1 day ago

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intern
Our client is looking for ambitious and talented Graduate Data Science Analysts to kick-start their careers in Nuwaidrat, Southern, BH . This is an exceptional opportunity for recent graduates to gain hands-on experience in data analysis, machine learning, and data visualization within a supportive and innovative environment. You will work alongside experienced data scientists and analysts, contributing to impactful projects that drive business decisions. The program is designed to provide comprehensive training and mentorship, enabling you to develop a strong foundation in data science principles and practices.

Responsibilities will include collecting, cleaning, and pre-processing large datasets from various sources. You will perform exploratory data analysis to identify trends, patterns, and insights, and assist in the development and implementation of statistical models and machine learning algorithms. You will also be involved in creating clear and compelling data visualizations and reports to communicate findings to both technical and non-technical stakeholders. As a Graduate Data Science Analyst, you will contribute to A/B testing, predictive modeling, and other data-driven initiatives. You will also participate in team meetings, research sessions, and training workshops, continuously expanding your knowledge and skillset. The role requires a keen eye for detail, a logical and analytical mindset, and a strong passion for data.

The ideal candidate will possess a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a closely related quantitative field, obtained within the last two years. Proficiency in programming languages such as Python or R is essential, along with a solid understanding of SQL for database querying. Familiarity with data visualization tools (e.g., Tableau, Power BI) and machine learning libraries (e.g., Scikit-learn, TensorFlow) is a plus. Strong problem-solving skills, excellent communication abilities, and a proactive attitude towards learning are crucial. You should be eager to work collaboratively in a team environment and possess a genuine enthusiasm for extracting meaningful insights from data. This internship offers a unique pathway to a rewarding career in data science, providing invaluable experience and exposure to cutting-edge technologies. Join our client and begin your journey towards becoming a data science expert.
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Graduate Trainee - Data Science

13456 Jaww, Southern BHD40000 Annually WhatJobs

Posted 1 day ago

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intern
Embark on your career journey with our prestigious Graduate Trainee program, focusing on Data Science, based in A'ali, Northern, BH . This intensive program is designed for ambitious recent graduates eager to develop their skills in data analysis, machine learning, and predictive modeling. As a Graduate Trainee, you will work alongside experienced data scientists, contributing to real-world projects and gaining invaluable practical experience. Your responsibilities will include data collection, cleaning, and preprocessing; performing exploratory data analysis; assisting in the development and implementation of machine learning models; and contributing to data visualization and reporting. You will have the opportunity to learn and apply various data science tools and techniques, such as Python, R, SQL, and machine learning libraries. This program emphasizes continuous learning and professional development, offering mentorship and exposure to cutting-edge technologies. The ideal candidate will possess a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline, with a strong academic record. Demonstrated passion for data science, analytical thinking, and problem-solving abilities are essential. Familiarity with programming languages and statistical concepts is a plus. Excellent communication skills and a proactive attitude towards learning are key. This is an exceptional entry-level opportunity to gain hands-on experience and build a successful career in Data Science within a supportive and innovative environment in A'ali, Northern, BH .
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Remote Graduate Trainee - Data Science

780 Bilad Al Qadeem, Capital BHD30000 Annually WhatJobs

Posted today

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intern
Our client is excited to offer a unique opportunity for motivated Graduate Trainees to join their Data Science team. This is a fully remote, immersive program designed to provide recent graduates with hands-on experience in the field of data analysis and machine learning. You will work alongside experienced data scientists on real-world projects, gaining practical skills in data collection, cleaning, analysis, visualization, and model development. The ideal candidate will have a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline, with a demonstrated interest in data science. While prior professional experience is not required, a solid understanding of programming languages like Python or R, and familiarity with data manipulation libraries, is essential. Responsibilities will include assisting with data extraction, performing exploratory data analysis, contributing to the development and testing of predictive models, and preparing reports on findings. You will also participate in team meetings, learn about industry best practices, and develop your problem-solving and critical thinking abilities. This program offers a fantastic launchpad for a career in data science, providing valuable mentorship and exposure to cutting-edge technologies. You will be part of a supportive and collaborative remote environment, learning and growing your capabilities with a leading organization. This role is perfect for enthusiastic individuals eager to apply their academic knowledge in a practical, impactful setting.
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Junior Data Scientist - Predictive Analytics

101 Bilad Al Qadeem, Capital BHD30000 annum (stip WhatJobs

Posted today

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Job Description

intern
Our client is actively seeking an enthusiastic and analytically-minded Junior Data Scientist to join our innovative, fully remote team. This internship program is designed to provide aspiring data professionals with hands-on experience in a challenging and rewarding environment. You will work under the guidance of senior data scientists, contributing to projects focused on predictive modeling, machine learning, and data analysis to drive business insights and strategic decision-making. Your responsibilities will include data cleaning, preprocessing, feature engineering, and assisting in the development and validation of machine learning models.

The ideal candidate will possess a strong academic background in a quantitative field such as computer science, statistics, mathematics, or a related discipline. You should have a foundational understanding of statistical modeling, machine learning algorithms, and programming languages commonly used in data science, such as Python or R. Excellent problem-solving skills, a keen eye for detail, and a passion for uncovering patterns in data are essential. You will gain exposure to various data visualization techniques and tools to communicate findings effectively. This internship offers a unique opportunity to develop your skills in a collaborative, remote-first setting, working on real-world data challenges. We are looking for individuals who are eager to learn, contribute, and grow within the field of data science. You will be instrumental in exploring datasets and generating hypotheses.

Key Responsibilities:
  • Assist in collecting, cleaning, and preprocessing large datasets.
  • Perform exploratory data analysis to identify trends and insights.
  • Support the development and implementation of machine learning models.
  • Assist in feature engineering and model evaluation.
  • Develop data visualizations to communicate findings.
  • Collaborate with senior data scientists on ongoing projects.
  • Participate in team meetings and present initial findings.
  • Research and apply new data science techniques.
  • Contribute to documentation of data pipelines and models.
  • Learn and utilize various data science tools and platforms.
Qualifications:
  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • Foundational knowledge of statistical concepts and machine learning algorithms.
  • Proficiency in at least one programming language such as Python or R.
  • Familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn).
  • Understanding of data visualization tools and techniques.
  • Strong analytical and problem-solving abilities.
  • Excellent communication skills, both written and verbal.
  • Ability to work independently and as part of a remote team.
  • A keen interest in data science and predictive analytics.
This internship is entirely remote, providing a flexible work arrangement for motivated students and recent graduates.
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AI & Machine Learning Engineer, Predictive Analytics

2010 Jbeil BHD85000 Annually WhatJobs

Posted 1 day ago

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full-time
Our client is seeking a brilliant and innovative AI & Machine Learning Engineer specializing in predictive analytics to drive forward their data science initiatives. This role is at the forefront of leveraging artificial intelligence to extract actionable insights and build sophisticated predictive models that will shape business strategy. You will be responsible for the entire lifecycle of machine learning projects, from data exploration and feature engineering to model development, evaluation, and deployment. This includes designing and implementing advanced algorithms, experimenting with different modeling techniques, and ensuring the scalability and performance of AI solutions. The ideal candidate will possess a strong academic background in computer science, statistics, or a related quantitative field, coupled with hands-on experience in building and deploying machine learning models in a production environment. Expertise in programming languages such as Python or R, along with familiarity with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and big data technologies (e.g., Spark, Hadoop), is essential. This challenging and rewarding position offers the opportunity to work with cutting-edge AI technologies at our **Salmabad, Northern, BH** facility. Responsibilities include:
  • Developing and implementing advanced machine learning models for predictive analytics.
  • Conducting data mining, feature engineering, and exploratory data analysis.
  • Evaluating and optimizing model performance using rigorous statistical methods.
  • Deploying ML models into production environments and monitoring their effectiveness.
  • Collaborating with data engineers and software developers to integrate AI solutions.
  • Staying abreast of the latest advancements in AI, machine learning, and data science.
  • Communicating complex findings and recommendations to both technical and non-technical stakeholders.
Qualifications:
  • Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related quantitative field.
  • 3+ years of hands-on experience in machine learning and predictive modeling.
  • Proficiency in Python or R, and relevant ML libraries (TensorFlow, PyTorch, scikit-learn).
  • Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
  • Strong understanding of statistical modeling, algorithms, and data structures.
  • Excellent analytical, problem-solving, and communication skills.
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Graduate Trainee - Data Analysis

BH3 Ghuraifa, Capital BHD30000 Annually WhatJobs

Posted today

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intern
Our client is offering an exciting opportunity for a motivated Graduate Trainee to join their Data Analysis team in Budaiya, Northern, BH . This program is designed for recent graduates eager to launch their careers in data science and analytics. Under the guidance of experienced professionals, you will gain hands-on experience in collecting, cleaning, analyzing, and interpreting complex datasets to extract valuable insights. You will assist in developing reports, dashboards, and visualizations that communicate findings effectively to stakeholders. The ideal candidate will possess a strong analytical mindset, a keen interest in data, and proficiency in basic statistical concepts. Familiarity with data analysis tools and programming languages such as Excel, SQL, Python, or R is advantageous. You will learn to identify trends, patterns, and correlations within data, contributing to data-driven decision-making across the organization. This internship provides a comprehensive introduction to the field of data analysis, covering data manipulation, statistical modeling, and presentation techniques. You will work on real-world projects, contributing to meaningful business outcomes. We are seeking enthusiastic individuals with a passion for learning and a desire to develop their skills in a supportive and challenging environment. This is an exceptional pathway to building a successful career in data analytics.

Key Responsibilities:
  • Assist in collecting and organizing data from various sources.
  • Perform data cleaning and preprocessing tasks.
  • Conduct exploratory data analysis to identify trends and patterns.
  • Support the creation of reports, dashboards, and data visualizations.
  • Help in interpreting data and generating insights for business stakeholders.
  • Learn and apply various data analysis techniques and tools.
  • Contribute to data quality assurance efforts.
  • Participate in team meetings and present findings.
  • Collaborate with senior analysts on ongoing projects.
  • Develop foundational skills in statistical analysis and data modeling.
Qualifications:
  • Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
  • Strong analytical and quantitative skills.
  • Proficiency in Microsoft Excel; knowledge of SQL is a plus.
  • Familiarity with programming languages like Python or R is advantageous.
  • Excellent problem-solving abilities and attention to detail.
  • Good communication and interpersonal skills.
  • Eagerness to learn and develop new skills in data analysis.
  • Ability to work effectively in a team.
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