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Known for Accuracy.

Trusted for Reliability.

Respected for Quality.

Cedar Rose is a diverse team of individuals from a multitude of backgrounds. Together we love striving for excellence, winning awards, sharing ideas and keeping at the forefront of our industry by embracing the latest technology. If the bar is high, we set it higher by employing the best of the best, setting standards, investing in our people and growing them to succeed with us.


Available Positions

Location: Cyprus

Do you love data, love challenges and want to work for a young, dynamic company in Cyprus where you will get the chance to develop your skills and work with cutting edge technology? Are you a student in your final year and looking for a placement with an award-winning organisation?

At Cedar Rose we invest in people because we know that it is people that create success every day, through excellence.


  • Analytical and critical thinking.
  • High level of ethics, confidentiality and integrity.
  • Ability to prioritise activities and show initiative.
  • Skills and familiarity with SQL.
  • Data-based decision-maker.
  • Good proficiency in English. (Also knowing Arabic would be a plus).
  • Basic computing skills (mainly excel).
  • Ability to work under pressure.
QUALIFICATIONS - Bachelors Degree or equivalent in one of the following:

  • Mathematics
  • Data Science
  • Statistics
  • 2 years of relevant experience in Data Science
  • Currently studying in the following fields:
    - Mathematics
    - Data Science
    - Statistics

If the above sounds like you, then we would love to hear from you! Please send your CV with a cover letter explaining why you believe you are the best candidate for this role to hr@cedar-rose.com

CONTACT US - Junior Data Scientist

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Available Positions

Location: Remote

Position: Business Risk Intelligence Analyst 

Position Overview 

This full-time position of Business Risk Intelligence Analyst requires an individual capable of directly supporting the production of client deliverables within the company’s Business Risk Investigations, Research and Analysis unit. The successful applicant is required to comprehend complex regional and global issues in various industries promptly and effectively, all while conducting detailed investigative research and analysis—via a range of open-source and proprietary sources—to identify and understand compliance, regulatory, and reputational risks. Candidates will be requested to complete an analytical test to assess these capabilities.

Business Intelligence Analyst requirements:


Good teamwork skills

Communication skills and networking ability


Good organisation and planning skills

Creativity and writing skills

Commercial awareness

Analytical skills and report writing

Strong attention to detail and ability to notice discrepancies in data

An understanding of trends and an ability to respond to customers’ wishes

Creativity and an ability to produce innovative and original ideas

Excellent written and verbal communication skills especially in English and Arabic.

Excellent research and investigation skills

Ability to effectively manage competing deadlines for projects in a high-pressure work environment, with varying degrees of supervision

Time and project management skills, including the ability to work on multiple projects at the same time

An ability to think strategically and come up with innovative business intelligence and investigative products.

Good understanding of financial statements, ratios, and concepts


Experience interacting with peers and financial crimes risk professionals

Experience with open-source research methods

Experience in dealing with clients and third-party providers regarding business intelligence and investigative products

Experience in forming and leading multilingual and multicultural teams

Experience in producing business and investigative reports with in-depth financial and business intelligence researching

Experience with, and an understanding of, business intelligence and investigative products and reports processing

Two to five years of strong quantitative experience

Strong proficiency in MS Office and general computer use


Support the organisation’s Values and Mission

Attention to detail

Ability to understand opposing points of view on highly complex issues

Competent to deliver comprehensive views on investigative and intelligence matters and represent reasoning of case disposition

Analytical and Critical thinking

High level of ethics, confidentiality, and integrity

Goal oriented

Able to work unsupervised and operate with a degree of autonomy

Able to understand the legal ramifications of corporate non-compliance

Strong work ethic

Ability to communicate ideas easily

CONTACT US - Business Risk Intelligence Analyst

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Location: Remote

Reports To

Head of Data Strategy


Job Overview

The Data Scientist will support the Company’s products, sales, data and marketing teams with insights and automation using the Company’s data by using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. The position is responsible for the use of data mining/data analysis, building and implementing models, using/creating algorithms and creating/running simulations and machine learning algorithms. They will also temporarily assume the responsibilities of either the Data Quality Controller or Data Scientist when requested by the Head of Data Strategy.


Responsibilities and Duties

  • Work with Head of Data Strategy Department and other stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets using Supervised Deep Learning and other Machine Learning techniques.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Increase the volume, quality and diversification of company proprietorial data
  • Render more comprehensive and accurate the company’s proprietorial data.
  • Database Cleaning and Mapping
  • Liaise with Software department and Head of Data Strategy Department in order to facilitate the Data Import process.
  • Assist the Head of Data Strategy Department in automating processes by XML mapping and creating rules and algorithms.
  • Assist the Head of Data Strategy Department in Data sourcing, scoring and warehousing.
  • Manage priorities of assigned tasks to ensure deadlines are respected and met.
  • Suggest and make recommendations to streamline, improve and speed up processes.
  • Report to the Head of Data Strategy Department any issues encountered that can help make the process more efficient or enhance the integrity of the new datasets, or make the addition of information to the company database more efficient.
  • Ensure that all documentation is kept confidential and secure.
  • Attend training and meetings as required.
  • Safeguard the intellectual rights and property of the company.
  • Assist the Head of Data Strategy Department in research and development by identifying, proposing and undertaking new projects studies (new ideas, market study, cost and revenue estimation, etc.)
  • Show initiative in identifying new product lines and product enhancement.
  • Assume temporarily the responsibilities and duties of the Data Quality Controller and the Data Quality Researcher as and when required by the Head of Data Strategy Department.
  • Assist in training and onboarding new members of the Data Strategy Department.
  • Assist in creating training modules and in conducting training of the Data Strategy Department.


Data Scientist requirements:


  • Good proficiency in the English language.
  • Good proficiency in Arabic language.
  • Excellent written and verbal communication skills for coordinating across teams.
  • High computing skills
  • Able to prioritize activities and show initiative.
  • Teambuilding and management
  • Coaching and supervision
  • Training
  • Strong problem-solving skills with an emphasis on product development.



  • Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • A minimum of 2-5 years of experience manipulating data sets and building statistical models, has a degree in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
    • Coding knowledge and experience with several languages
    • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
    • Experience querying databases and using statistical computer languages: Python, SQL, etc.
    • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
    • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
    • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Spark, MySQL, etc.
    • Experience visualizing/presenting data for stakeholders using: Python, Power BI, Tableau, etc.
  • Preferably have been a graduate in an analytics related field.
  • Experience with Microsoft suite.
  • Experience with Internet research methods and tools.
  • Experience managing and working with remote teams
  • Experience with multilingual and Multicultural teams
  • Preferably have experience at management level.



  • Support the organisation’s Values and Mission
  • Attention to detail
  • Analytical and Critical thinking
  • High level of ethics, confidentiality and integrity
  • Goal oriented.
  • Able to work with minimal supervision
  • Strong work ethic.
  • Performance management
  • Team building
  • Coaching
  • Leadership
  • Proactive approach

A drive to learn and master new technologies and techniques.

CONTACT US - Data Scientist

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+357 25346630

Location: Remote

Position responsible for the Intern Programe

Head of Data Strategy Department



Aims of Internship

The Internship is designed to give hands on experience to individuals in a work environment. It is designed to assist the individuals progress through an immersion experience that will help put theoretical aspects of  academic study in perspective through live workplace interaction.


Specific learning points for the Intern:   Data Analyst


  • Learn analysis and processing of a wide range of data. This will be achieved primarily through involvement and exposure to analysis of new/existing data sets, the development of processes to improve and build new data products, data mapping, testing and dealing with data queries.
  • Learn how to assess and improve practices and processes through exposure to different Data environments.
  • Understand about analysis of existing data and newly sourced data and learn how to identify the best ways that it can be processed and utilized commercially.
  • Gain experience in Data testing including comparing content and completeness between databases.
  • Gain experience in mapping data from various sources into database tables and structures
  • Learn how to identify, analyse, and interpret trends or patterns in complex data sets.
  • Learn how to monitor the receipt and loading of data files.
  • Learn how to investigate and resolve data queries from internal or external sources
  • Learn how to prepare reports based on analysis and experience presenting them internally to senior stakeholders.
  • Learn how to conduct Market Research and Studies


Data Analyst Intern Minimum requirements:


  • Current in last year or recent graduate of a Bachelor’s degree in Mathematics, Actuarial Science, Data management / Analytics, Economics, Business).
  • Ideally experience with data analysis, and statistics is a plus
  • Excellent written, verbal communication and interpersonal skills
  • Excellent attention to detail
  • Excellent organizational, follow-up and time management skills
  • Excellent problem solving and decision-making skills, with the ability to follow through independently and multi-task.
  • Critical thinking and synthesis skills
  • A positive attitude and a willingness to learn
  • Experience working with databases and data analytics is a plus
  • Strong computer skills are critical to this role. This includes but is not limited to:
  • PowerPoint™, Excel™ and /or similar data analytics systems;
  • Office365™ suite of applications.
  • PowerBI™ is a plus

CONTACT US - Intern Data Analyst

Thank You

Your application has been succesfully submitted.

Please see the emails for a confirmation

If you did not receive an email confirmation please check your junk/spam folder or call us directly at

+357 25346630