104 Data Scientist jobs in the United Arab Emirates

В формирующееся направления Data Science ищем опытного Data Scientist , который сможет эффективно взаимодействовать с другими командами, генерировать и проверять гипотезы, а успешные решения внедрять в продукт.

По мере роста команды и появления интересов в конкретных направлениях, будет возможность стать тимлидом.

У компании разные бизнес-направления (склады с логистикой, маркетплейсы), поэтому могут быть разнообразные задачи : от оптимизации процессов на складах до рекомендаций при поиске товаров и разработки чат-ботов.

EMEX — международный холдинг, который включает торговый, информационный, и фулфилмент бизнесы: EMEX.DWC в ОАЭ, фулфилмент оператор HWC и EMEX.ru.

EMEX — стабильный бизнес: на протяжении 20+ лет мы прибыльны каждый квартал . Сейчас у бизнеса есть задача — быть эффективным , а для этого нужно достичь промежуточных целей по измеримости и управляемости. Для этого мы перепроектируем структуру всех компаний и значительно усиливаем все наши направления.

• Разработка новых решений (ML-модели, оптимизационные модели и т.д.)
• Взаимодействие с другими командами (презентация результатов, выявление потребностей, валидация гипотез).

• У тебя большой опыт работы в Data Science и ты знаком со всем основным теоретическим (мат.статистика, методологии тестирования, ml-модели, теория оптимизации) и технологическим стеком (Python: pandas, scikit-learn, sciPy, etc.). Ты работаешь в сфере DS более 3 лет и у тебя техническое образование;
• Ты готов работать руками и не боишься сырых данных. Отлично знаешь SQL, возможно даже имеешь опыт работы в BI-системах;
• Ты проактивен и не боишься экспериментировать. Для тебя естественны желания протестировать новый алгоритм на основе прочитанной статьи, найти неэффективность в процессе и смоделировать альтернативный процесс, покопаться в данных и затем сформулировать новые гипотезы;
• Ты ориентирован на бизнес-результат и не стремишься все решать только с помощью ml-модели. У тебя прокачено критическое мышление и problem solving, ты можешь оценить свое решение с точки зрения бизнеса;
• Ты четко доносишь свои мысли и можешь доступно презентовать результаты. Для тебя не проблема объяснить смысл ROC-AUC коллеге, визуализировать результат с помощью понятного графика или презентовать новую статью.

• Ты работал в фулфилменте (хранение, сортировка, логистика) или в маркетплейсах и классифайдах;
• Ты занимался задачами комбинаторной оптимизации или задачами рекомендаций и поиска;
• У тебя за спиной несколько ML-проектов полного цикла.

Удаленный формат работы из любой страны мира. С нами можно работать по ТК РФ (оплата в рублях) или через контракт через Дубай (оплата в USD);

Возможность быстро расти . Сейчас есть много вакуума ответственности, который можно занимать;

Международный продукт , улучшающий потребительский опыт предпринимателей в разных странах, с большими амбициями и ресурсами для дальнейшего глобального развития;

Работу с высоким уровнем свободы , возможность принимать решения и выбирать пути решения задач самостоятельно;

Отсутствие бюрократии.

5 to 10+ years of experience working with advanced analytical and statistical and programming skills in languages such as R, Python, or Java

We are looking for a Data Scientists with 5 to 10+ years of experience are responsible for analyzing and interpreting complex data sets to identify trends, patterns, and relationships. They use their findings to develop predictive models and algorithms to help organizations make better decisions and improve operations. Data Scientists work with a variety of data, including structured data from databases and unstructured data from social media, sensors, and weblogs. They must be able to effectively communicate their findings to non-technical audiences

5 to 10+ years of experience working with dataAdvanced analytical and statistical skillsStrong programming skills in languages such as R, Python, or JavaExcellent communication and presentation skillsAbility to effectively work in a team environmentModerate to Expert Experience in data mining. Knowledge of SQL, Mongo DBFamiliarity with Scala, Java or C++ is an assetDevelop predictive models and algorithms to help organizations make better decisions and improve operationsWork with a variety of data, including structured data from databases and unstructured data from social media, sensors, and web logsEffectively communicate findings to non-technical audiences

Send your CV to with the subject line: Application for Data Scientist Position

COMPANY DESCRIPTION

We are the world’s largest performance marketing network, with over 3,000 experts in 68 offices in 48 markets. We offer a complete suite of crafts designed to deliver customer-centric performance marketing solutions. Armed with intelligent insights and an audience first approach our team of expert consultants deliver integrated media, data and technology solutions that help brands better connect with consumers at every stage of their digital marketing transformation.

In MENA, Kinesso are the Digital Marketing Transformation experts and provide services focused on delivering marketing efficiencies and return of investment for brands across the MENA region.

ROLE OVERVIEW

At Kinesso, we rely on powerfully insightful data to help brands better connect with their consumers at every stage of their marketing transformation.

Our data science team has mathematical and statistical expertise, natural curiosity, and a creative mind that’s not so easy to find. As a data scientist you mine, interpret, and clean data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. And will “slice and dice” data using your own methods, creating new visions for the future.

OBJECTIVES

• Collaborate with advertiser’s brand team and media agencies to develop an understanding of needs.
• Research and devise innovative statistical models for data analysis.
• Communicate findings and insights effectively to both technical and non-technical stakeholders through reports, presentations, and visualizations.
• Enable smarter business processes—and implement analytics for meaningful insights.
• Become a thought leader on the value of data by finding new features or products by unlocking the value of data.
• Develop and implement machine learning models and algorithms to solve complex business problems.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies .
• Work with product and engineering teams to integrate data science solutions into production systems
• Collaborate with data engineers to design and optimize data pipelines and architectures.

• Keep current with technology and industry developments.

RESPONSIBILITIES

• Analyse data for trends and patterns using machine learning algorithms and Interpret data with a clear objective in mind.
• Identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the team to strategize and execute the development of data products.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities for improvement.
• Identify relevant data sources and sets to mine for client business needs and collect large structured and unstructured datasets and variables.
• Working on the Media Mix Models , Full Funnel Model, Multitouch Attribution etc. to optimize the media
• Devise and utilize algorithms and models to mine data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy.
• Conduct causality experiments by applying A/B experiments to identify the root issues of an observed result.
• Communicate analytic al solutions to stakeholders and implement improvements as needed.

SKILLS & QUALIFICATIONS

• Bachelor’s degree in statistics, applied mathematics, or related discipline.
• Minimum of 4-6 years in a similar role.
• Proficiency with data mining, mathematics, and statistical analysis
• Advanced pattern recognition and predictive modelling experience
• E xperience of Media Mix Models, Multitouch Attribution on the working knowledge
• Media understanding is preferrable
• Additional skills of Gen AI, NLP, NLU are optional/ added advantage
• Experience with Excel, Tableau /Looker Studio , SQL, and languages: Python, R
• Storytelling and Data Visualization
• Media understanding is preferrable
• Additional skills of Gen AI, NLP, NLU are optional/ added advantage
• Working knowledge of supervised and unsupervised machine learning techniques such as regression, clustering, classification, decision tree learning, and artificial neural networks
• Comfort working in a dynamic, data- oriented team with several ongoing concurrent projects.
• Professional certifications in data science

PREFERRED QUALIFICATIONS

• Master’s degree in stats, applied math, or related discipline.
• Experience with No SQL, Pig, Hive, and PySpark , Big Query.

• Define and execute a holistic data science strategy aligned with B2C growth goals.
• Drive experimentation and insight generation to optimize key levers: user engagement, subscription renewals, merchant redemptions, and DR visibility.
• Influence key decisions across marketing campaigns, product features and merchant onboarding through predictive insights.
• Serve as a data evangelist, promoting cross-functional alignment and a strong data-first mindset.
• Stay ahead of AI/ML advancements and implement cutting-edge techniques to solve business challenges.

• Build churn prediction models, lifetime value (LTV) scoring, and behavioral segmentation to enhance subscription lifecycle management.
• Analyze in-app behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.
• Collaborate with Product teams to implement A/B testing frameworks and data-backed roadmap prioritization.
• Build customer segmentation models to personalize offers, improve targeting, and enhance loyalty program effectiveness.
• Work with Marketing to optimize customer acquisition costs (CAC), churn prediction, and retention strategies.
• Support Sales & Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.
• Implement real-time analytics dashboards to track KPIs (active users, redemptions, DR revenue) and provide actionable insights.

• Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.
• Lead development of dashboards and self-serve analytics tools for key stakeholders.

• 3-5 years of experience in Data Science, Machine Learning or Advanced Analytics, ideally in a B2C e-commerce, subscription or digital commerce environment.
• Bachelor's or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Proficiency in Python, R, SQL, and Big Data platforms such as BigQuery, MLFlow, Databricks, GCP, or AWS.
• Deep understanding of machine learning (e.g., XGBoost, LightGBM, Scikit-learn) and predictive modeling techniques.
• Proficiency in designing experiments (A/B testing) and statistical inference techniques.

• Experience working on mobile app analytics, offer redemption behavior, or consumer loyalty ecosystems.
• Exposure to advertising analytics and performance optimization for in-app marketing/ads (like DR).
• Familiarity with modern data visualization tools like Tableau, Power BI.

• Strategic thinker with strong business acumen and the ability to translate data into commercial impact.
• Excellent communication and storytelling skills to influence executive stakeholders.
• Track record of delivering high-impact insights and building analytics capabilities from scratch.
• Strong mentoring, coaching, and cross-functional collaboration abilities.

• Competitive salary and benefits package.
• Opportunity to work with an energetic and innovative company.
• A chance to contribute to the success of a well-known UAE brand.

The ENTERTAINER is a leading digital company dedicated to adding value for consumers by bringing them the best incentive offers globally. We are a 100% digital, data-driven tech company providing first-rate offers across renowned dining, leisure, entertainment, and hotel brands worldwide. The ENTERTAINER has grown with the aim of creating unbeatable value and loyalty everywhere we operate. We believe that experience is everything, and that's why we are passionate about creating unforgettable experiences for our customers, partners, and employees.

We are looking for a strategic and hands-on Data Scientist to lead data innovation and decision science within our B2C business. This role will collaborate closely with Product, Technology, Marketing, and Sales teams to develop predictive models, personalization strategies, and business insights that accelerate user acquisition, improve customer retention, and boost merchant engagement, including voucher redemptions and Digital Reach monetization.

• Define and execute a holistic data science strategy aligned with B2C growth goals.
• Drive experimentation and insight generation to optimize key levers: user engagement, subscription renewals, merchant redemptions, and Digital Reach visibility.
• Influence key decisions across marketing campaigns, product features, and merchant onboarding through predictive insights.
• Serve as a data evangelist promoting cross-functional alignment and a strong data-first mindset.
• Stay ahead of AI/ML advancements and implement cutting-edge techniques to solve business challenges.

• Build churn prediction models, lifetime value (LTV) scoring, and behavioral segmentation to enhance subscription lifecycle management.
• Analyze in-app behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.
• Collaborate with Product teams to implement A/B testing frameworks and data-backed roadmap prioritization.
• Build customer segmentation models to personalize offers, improve targeting, and enhance loyalty program effectiveness.
• Work with Marketing to optimize customer acquisition costs (CAC), churn prediction, and retention strategies.
• Support Sales & Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.
• Implement real-time analytics dashboards to track KPIs (active users, redemptions, Digital Reach revenue) and provide actionable insights.

• Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.
• Lead development of dashboards and self-serve analytics tools for key stakeholders.

• At least 3-5 years of experience in Data Science, Machine Learning, or Advanced Analytics, ideally in a B2C e-commerce, subscription, or digital commerce environment.
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Proficiency in Python, R, SQL, and Big Data platforms such as BigQuery, MLFlow, Databricks, GCP, or AWS.
• Deep understanding of machine learning (e.g., XGBoost, LightGBM, scikit-learn) and predictive modeling techniques.
• Experience designing experiments (A/B testing) and applying statistical inference techniques.

• Experience with mobile app analytics, offer redemption behavior, or consumer loyalty ecosystems.
• Exposure to advertising analytics and performance optimization for in-app marketing/ads (like Digital Reach).
• Familiarity with modern data visualization tools such as Tableau or Power BI.

• Strategic thinker with strong business acumen and the ability to translate data into commercial impact.
• Excellent communication and storytelling skills to influence executive stakeholders.
• Track record of delivering high-impact insights and building analytics capabilities from scratch.
• Strong mentoring, coaching, and cross-functional collaboration abilities.

• Competitive salary and benefits package.
• Opportunity to work with an energetic and innovative company.
• A chance to contribute to the success of a well-known UAE brand.

Senior IC

GROUP FUNCTION AND ROLE PURPOSE
Data Scientist role is responsible for modelling complex Institutional problems discovering business insights and identifying opportunities through the use of statistical algorithmic mining and visualization techniques. In addition to advanced analytic skills, this Job holder is also proficient at integrating and preparing large varied datasets, architecting specialized database and computing environments, and communicating results. Lead data scientists work closely with Business leaders, Business champions, data stewards, project/program managers, and IT teams to turn data into critical information and knowledge that can be used to make sound organizational decisions for First Abu Dhabi Bank.
The role requires the job holder to be a creative thinker and able to propose innovative ways to look at business problems by using data mining (the process of discovering new patterns from large datasets) approaches on the set of Information available. They will need to validate their findings using an experimental and iterative approach. Also, Data Scientist will need to be able to present back their findings to the business by exposing their assumptions and validation work in a way that can be easily understood by their business counterparts.
Data Scientist will need a combination of business focus, strong analytical and problem-solving skills, and statistical programming knowledge to be able to quickly cycle hypothesis through the discovery phase of the data science projects. Excellent written and communications skills to report back the findings in a clear structured manner are required.
Finally, the data scientist will be the primary owner for the implementation of the approved corporate Analytics strategy with an aim to develop actionable insights that continuously optimize business decisions.

• Strategic responsibilities
  Develop & conceptualize sophisticated & innovative analytical solutions that integrate diverse information assets available at First Abu Dhabi Bank to achieve incremental revenue or reduction in costs or mitigating financial risks.
• Lead the discovery process for the analytics opportunities with the institutional stakeholders to identify the business requirements and the expected outcome.
• Make strategic recommendations on data collection, integration, and retention requirements incorporating business requirements and knowledge of best practices.
• Define standard metrics and KPIs for measuring the success of all analytics engagements undertaken and establish processes to measure them.
• Educate the organizational colleagues from both IT and the business perspectives on new approaches such as testing hypotheses and statistical validation of analytical results. Helps the organization understand the principles and the math behind these statistical processes to drive the organizational adoption.

• Core responsibilities
  Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems. Design experiments and test business hypotheses.
• Identify what data is available and relevant in the bank for analytics opportunities including internal and external data sources leveraging new data collection processes such as geolocation data, unstructured data sources such as emails, log files, social media, etc.
• Develop innovative and effective approaches to solve business problems using Analytics and communicate results and methodologies.
• Utilize patterns and variations in the volume, speed, and other characteristics of data supporting the initiative, the type of data (e.g. Images, text, clickstream or metering data) in predictive analysis.
• Provide ongoing tracking and monitoring of performance of decision systems and statistical models built by the data science unit.
• Recommend & implement ongoing improvements to methods and algorithms that lead to findings including new information & patterns in the data.
• Establish conducive ecosystem for analytics using tools, processes, vendors, etc. within the bank that will enable adoption of analytics across the organization.
• Play the role of bank wide machine learning and Artificial Intelligence expert to use these techniques to solve the real business problems.

• People Management responsibilities
  Coach & groom the data scientists in the team on gaining knowledge & skills on the principles of analytics techniques, problem solving, project management, client relationship management & team work skills. Conduct regular reviews with team members.
• Responsible to hire, train, motivate, and continuously develop skillsets of the data scientists in the team.
• Define goals and key performance indicators for each member of data science team and coordinate the performance management review process for the team.

TECHNICAL SKILLS: MINIMUM 4 YRS OF WORKING EXPERIENCE MANDATORY
SAS (Base, SASEMiner, EG), Python, Statistical modelling, Machine Learning and AI (Pattern recognition, Natural language processing, computer vision), Data Visualization (Power BI), Unstructured data (SAS text analyzer), Data modelling: json, xml, Deep learning technologies (Neural networks, LSTM, GAN, RNN, etc.), Deep learning frameworks (Tensorflow/PyTorch/Maxnet), Cloud deployment: Microsoft Azure / AWS, Exposure to distributed computing environments / big data platforms (Cloudera, Hadoop, Apache Spark, Elastic search, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)

• Business benefits realized through advanced analytics; depending on initiatives undertaken benefits may include:
• Increase in effectiveness in customer engagement (increased sales, reduced churn)
• Decrease in customer acquisition costs
• Decrease in sales costs
• Increase in marketing effectiveness
• Number of identified organizational opportunities to improve data value
• Increase in organizational Analytics maturity score
• Feedback from internal and external stakeholders

Minimum Qualifications:
Masters in Business Administration from top B Schools.
Bachelors degree in Statistics, Computer Sciences, Maths, Operations Research or other related fields.
Additional degree or certifications in the field related to data science/Analytics is preferred.

Minimum Experience:
Minimum 4 years of experience in Data Science (Analytics, BI, ML Modeling, Deep learning Algorithms and ML Ops) in BFSI Sector.
Typically 2 years of relevant quantitative and qualitative research and analytics experience.

Knowledge Skills and Attributes:

Knowledge and Skills
Ability to independently manage analytics engagements from start to finish delivering actionable insights within established timelines and budget.
Excellent understanding of machine learning and Artificial Intelligence (AI) techniques and algorithms such as kNN, Naive Bayes, SVM, Random Forests, Deep Learning, etc.
Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing and optimization algorithms.
The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
Use problem-solving methodologies to propose creative solutions to solve business problems. Recommend, design, and develop state-of-the-art data-driven analysis using statistical & advanced analytics methodologies to solve business problems.
Strong programming skills and hands-on experience on statistical modelling packages (like SAS, R, or Python).
Experience in building a multigenerational scalable platform.
Strong communication skills with the ability to express technical and business concepts, ideas, feelings, opinions, and conclusions verbally and in writing. Listens attentively and reinforces words through empathetic body language and tone.
Experience leading teams.
In-depth industry/business knowledge.

Attributes
Change Advocate: Identifies and acts upon opportunities for continuous improvement. Encourages prudent risk-taking, exploration of alternative approaches, and organizational learning.
Conceptual & Innovating Thinking: Synthesizes facts, theories, trends, inferences, and key issues and/or themes in complex and variable situations. Recognizes abstract patterns and relationships between apparently unrelated entities or situations.
Leadership: Leads members of formal and informal groups in the pursuit of common missions, vision, values, and mutual goals. Places team needs and priorities above personal needs. Involves others in making decisions that affect them. Draws on the strengths of colleagues and gives credit to others' contributions and achievements.

About Us

Established in 2022, Astra Tech has rapidly expanded its influence by strategically acquiring and developing key platforms such as PayBy, Rizek, Quantix, and Botim. These acquisitions have culminated in the creation of the world’s first Ultra App, Botim, which seamlessly integrates fintech, e-commerce, AI-powered tech solutions, and communication services into one intuitive and user-friendly experience. This powerful combination allows users to manage their finances, shop, and stay connected—all within a single, cohesive platform.

With over 150 million users across 155 countries, Astra Tech is more than just a tech company—it is a movement committed to enhancing lives through innovation. As a visionary leader in tech development and investment, our mission is clear: to revolutionize technology solutions for consumers and businesses, harnessing the power of AI to elevate digital experiences to unprecedented heights globally.

Role Summary

Extracting knowledge and insights from data to support organizational goals by collecting, cleaning, analysing, and interpreting large datasets using statistical, machine learning, and programming skills.

Responsibilities

• Data Collection and Preparation: Gathering data from various sources, cleaning and transforming it for analysis.
• Exploratory Data Analysis (EDA): Investigating data to identify patterns, trends, and anomalies.
• Model Building and Evaluation: Developing and validating statistical models and machine learning algorithms.
• Data Visualization: Creating clear and informative visualizations to communicate findings to stakeholders.
• Stakeholder Communication: Presenting results and recommendations to both technical and non-technical audiences.
• Strategic Recommendations: Providing data-driven insights to guide business decisions and strategies.

Requirements

• Master’s degree in Computer Science, Computer Engineering, Mathematics or Statistics preferred.
• Experience 7+ years in consumer technology platforms.
• Experience developing in Python, R, scikit-learn with demonstrated knowledge of good software engineering design principles.
• Experience working with Big data technology suites.
• Experience working with relational databases, SQL, data-modelling and dealing with large, complex, structured, and unstructured datasets.
• Extensive familiarity with machine-learning concepts and applications.
• Build statistical, predictive and machine learning models to facilitate Strategy, Product, Marketing, Sales, Customer Service and Technology teams drive business growth.
• Develop analytics-oriented solutions to solve complex business problems leading to data-driven decision making.
• Storyboard visualizations to educate stakeholders on findings.
• Support data activities related to the collection, profiling, cleansing, and reporting of analytical models.
• Participate in planning sessions with key stakeholders to develop use cases and requirements for data-driven analytical solutions.
• Experience developing automating data pipelines as an asset.

Gather, clean, and analyze large and complex datasets from various sources.

Build and deploy predictive and machine learning models (ML / DL) to solve real business challenges.

Identify optimization opportunities and make data-driven recommendations.

Design custom algorithms tailored to different business areas (marketing, product, operations, finance, etc.).

Work closely with Data Engineers, Analysts, and Product Managers.

Communicate findings through clear visualizations and reports that support strategic decisions.

Stay up to date with the latest trends in data science, machine learning, and AI.

Required Profile :

Master’s degree (or higher) in statistics, applied mathematics, computer science, or a related field.

At least 3 years of professional experience in applied data science.

Strong proficiency in Python and libraries such as Pandas, Scikit-learn, TensorFlow, PyTorch, etc.

Solid knowledge of SQL and experience with data visualization tools (Matplotlib, Seaborn, Plotly, etc.).

Proven experience in deploying models into production environments.

Analytical mindset, scientific rigor, and the ability to translate technical results into business language.

Nice-to-Have Skills

Familiarity with Big Data tools (Spark, Hadoop).

Experience with cloud platforms (GCP, AWS, or Azure).

Exposure to NLP, Computer Vision, or Time Series forecasting.

Hands-on with collaborative notebooks (Jupyter, Databricks).

Knowledge in CI / CD practices and MLOps frameworks is a big plus.

Why Join Us?

High-impact projects that influence strategic decisions.

A collaborative and innovation-driven culture.

Access to rich and diverse datasets.

Continuous learning opportunities and attendance at tech / AI conferences.

Get AI-powered advice on this job and more exclusive features.

C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.

C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.

Global offices

United States | Canada | United Kingdom | United Arab of Emirates| India

Job Description :

This role involves building data products to extract valuable business insights and requires a highly analytical individual with strong problem-solving skills and a passion for machine learning and research.

Job Responsibilities

• Undertake data collection, preprocessing, and analysis
• Build models to address business problems
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Develop machine learning algorithms
• Conduct data-driven experiments to drive business decisions

Required Skills

• Machine learning and operations research with team leading skills
• Proficiency in R, SQL, and Python
• Experience with business intelligence tools (e.g., Tableau, Power BI)
• Analytical mind and business acumen
• Excellent communication and presentation skills
• Preferred Algorithms and Use Cases :
• Text Analytics : Natural Language Processing (NLP) algorithms for sentiment analysis, text classification, named entity recognition.
• Various models like regression, classification and time series.

Qualifications

• Relevant experience as a Data Scientist (4+ years)
• Experience required in the Banking domain
• Bachelor's or Master's degree in Computer Science, Engineering, or relevant field; graduate degree in Data Science or other quantitative field is preferred

C5i is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations.

Seniority level

Seniority level

Associate

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

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