advanced analytics specialist

atmaal

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 Data Scientist
 
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 Location: Riyadh, Saudi Arabia (On-site)
 
 
 
 
 
 A Data Scientist is at the forefront of turning data into actionable intelligence through advanced analytics, machine learning, and Gen AI capabilities. They work closely with business stakeholders to solve complex problems, identify trends, and drive strategic decisions through predictive and prescriptive modeling, and other advanced analytics techniques.
 
 
 
 
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 Department
 
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 Digital (Advanced Analytics CoE)
 
 
 
 
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 Years of Experience
 
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 5-10 years of proven experience in Data Science, Machine Learning, or Advanced Analytics &mdash; including hands-on work with cloud-based data platforms, predictive modeling, and visualization tools.
 
 
 
 
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 Key Responsibilities
 
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 &bull; Collaborate with business units to understand strategic objectives and translate them into data science problems and use cases.
 
 
 &bull; Design and develop predictive models such as regression, classification, forecasting, and segmentation to uncover patterns and anticipate future trends.
 
 
 &bull; Leverage prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
 
 
 &bull; Apply NLP techniques for use cases like sentiment analysis, text classification, and entity extraction from unstructured data sources.
 
 
 &bull; Conduct exploratory data analysis (EDA) to understand data behavior, identify anomalies, and discover hidden patterns that can drive further analysis.
 
 
 &bull; Utilize Gen AI capabilities for tasks like content summarization, code generation, and automated extraction of meaningful insights from large volumes of text.
 
 
 &bull; Develop and deploy analytical solutions using platforms like Vertex AI for model development, and Power BI for insight visualization, ensuring seamless integration with business workflows.
 
 
 &bull; Communicate complex analytical findings through intuitive visualizations and storytelling techniques that resonate with technical and non-technical audiences.
 
 
 &bull; Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
 
 
 &bull; Document methodologies, model assumptions, and workflows to promote reproducibility and transparency across the data science lifecycle.
 
 
 
 
 
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 Expertise Required
 
 
 &bull; Power BI
 
 
 &bull; BigQuery
 
 
 &bull; Google Cloud Platform (GCP)
 
 
 &bull; Google Cloud Storage
 
 
 &bull; Vertex AI
 
 
 &bull; Python
 
 
 &bull; Strong technical proficiency and business acumen
 
</div>

Data Scientist

Glow Beauty On Demand

Job Title Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Job Description Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Role Summary MetLife Gulf is seeking a talented Data Scientist to join its Data Analytics team, driving innovation and business transformation through advanced analytics and AI solutions. This role is central to MetLife s data-first strategy, helping shape predictive models, optimize decision-making, and elevate customer experience across insurance and financial services. Employment Overview Job Location: Dubai, UAE Industry: Insurance Function: Data Science / Analytics Salary: 25000-32000 monthly (Market estimated) Gender: Any Candidate Nationality: Any Job Type: Full-time (Hybrid) What You ll Do * Lead the design and execution of advanced data science projects, including predictive modeling, AI, and machine learning initiatives * Build and deploy data pipelines, backend models, and scalable analytics solutions * Collaborate with stakeholders to align data projects with strategic objectives * Develop visually impactful dashboards and reports using Power BI * Perform data mining, feature engineering, and statistical analysis for actionable insights * Integrate advanced analytics solutions across business units for pricing, claims, and sales optimization * Mentor and coach team members to enhance analytics and AI capabilities * Drive continuous innovation through experimentation with emerging technologies * Ensure data governance, model validation, and compliance with organizational standards Ideal Profile * Master s degree preferred; Bachelor s in Data Science, Computer Science, or related field * 3+ years of experience in machine learning, deep learning, and predictive analytics * Strong programming skills in Python or R and experience building data pipelines * Expertise in NLP, hypothesis testing, and conceptual modeling * Proficiency in Power BI and knowledge of Alteryx or similar visualization tools * Familiarity with Microsoft Azure or cloud-based environments * Strong storytelling and data visualization skills for non-technical audiences * Business acumen with ability to translate insights into impactful business strategies Why Join Us MetLife offers an inclusive, purpose-driven work culture recognized globally for excellence. Enjoy competitive compensation, hybrid work flexibility, and career growth opportunities in an organization committed to innovation, customer experience, and sustainable business practices.

Job Title Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Job Description Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Role Summary MetLife Gulf is seeking a talented Data Scientist to join its Data Analytics team, driving innovation and business transformation through advanced analytics and AI solutions. This role is central to MetLife s data-first strategy, helping shape predictive models, optimize decision-making, and elevate customer experience across insurance and financial services. Employment Overview Job Location: Dubai, UAE Industry: Insurance Function: Data Science / Analytics Gender: Any Candidate Nationality: Any Job Type: Full-time (Hybrid) What You ll Do * Lead the design and execution of advanced data science projects, including predictive modeling, AI, and machine learning initiatives * Build and deploy data pipelines, backend models, and scalable analytics solutions * Collaborate with stakeholders to align data projects with strategic objectives * Develop visually impactful dashboards and reports using Power BI * Perform data mining, feature engineering, and statistical analysis for actionable insights * Integrate advanced analytics solutions across business units for pricing, claims, and sales optimization * Mentor and coach team members to enhance analytics and AI capabilities * Drive continuous innovation through experimentation with emerging technologies * Ensure data governance, model validation, and compliance with organizational standards Ideal Profile * Master s degree preferred; Bachelor s in Data Science, Computer Science, or related field * 3+ years of experience in machine learning, deep learning, and predictive analytics * Strong programming skills in Python or R and experience building data pipelines * Expertise in NLP, hypothesis testing, and conceptual modeling * Proficiency in Power BI and knowledge of Alteryx or similar visualization tools * Familiarity with Microsoft Azure or cloud-based environments * Strong storytelling and data visualization skills for non-technical audiences * Business acumen with ability to translate insights into impactful business strategies

Data Scientist - Advanced Analytics & AI Solutions Dubai UAE

Job Title Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Job Description Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Role Summary MetLife Gulf is seeking a talented Data Scientist to join its Data Analytics team, driving innovation and business transformation through advanced analytics and AI solutions. This role is central to MetLife s data-first strategy, helping shape predictive models, optimize decision-making, and elevate customer experience across insurance and financial services. Employment Overview Job Location: Dubai, UAE Industry: Insurance Function: Data Science / Analytics Gender: Any Candidate Nationality: Any Job Type: Full-time (Hybrid) What You ll Do * Lead the design and execution of advanced data science projects, including predictive modeling, AI, and machine learning initiatives * Build and deploy data pipelines, backend models, and scalable analytics solutions * Collaborate with stakeholders to align data projects with strategic objectives * Develop visually impactful dashboards and reports using Power BI * Perform data mining, feature engineering, and statistical analysis for actionable insights * Integrate advanced analytics solutions across business units for pricing, claims, and sales optimization * Mentor and coach team members to enhance analytics and AI capabilities * Drive continuous innovation through experimentation with emerging technologies * Ensure data governance, model validation, and compliance with organizational standards Ideal Profile * Master s degree preferred; Bachelor s in Data Science, Computer Science, or related field * 3+ years of experience in machine learning, deep learning, and predictive analytics * Strong programming skills in Python or R and experience building data pipelines * Expertise in NLP, hypothesis testing, and conceptual modeling * Proficiency in Power BI and knowledge of Alteryx or similar visualization tools * Familiarity with Microsoft Azure or cloud-based environments * Strong storytelling and data visualization skills for non-technical audiences * Business acumen with ability to translate insights into impactful business strategies

Data Scientist - Advanced Analytics & AI Solutions

Circle K

<div>
 
 Job Description
 
 
 
 Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. Circle K India Data &amp; Analytics team is an integral part of ACT&rsquo;s Global Data &amp; Analytics Team, and the Data Scientist/Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT.
 
 
 The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units.
 
 
 
 About The Role
 
 
 
 The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables.
 
 
 
 
 Roles &amp; Responsibilities
 
 
 
 
 
 
 Analytics &amp; Strategy
 
 
 
 
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 Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business
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 Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data
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 Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions
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 Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data
 
 
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 Operational Excellence
 
 
 
 
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 Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project
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 Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems
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 Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses.
 
 
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 Stakeholder Engagement
 
 
 
 
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 Working collaboratively across multiple sets of stakeholders &ndash; Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables
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 Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats
 
 
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 Job Requirements
 
 
 
 
 
 
 Education
 
 
 
 
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 Bachelor&rsquo;s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
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 Master&rsquo;s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)
 
 
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 Relevant Experience
 
 
 
 
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 3 - 4 years for Data Scientist
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 Relevant working experience in a data science/advanced analytics role
 
 
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 Behavioural Skills
 
 
 
 
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 Delivery Excellence
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 Business disposition
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 Social intelligence
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 Innovation and agility
 
 
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 Knowledge
 
 
 
 
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 Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)
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 Statistical modelling using Analytical tools (R, Python, KNIME, etc.)
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 Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)
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 Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.
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 Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)
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 Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)
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 Big data technologies &amp; framework (AWS, Azure, GCP, Hadoop, Spark, etc.)
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 Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools
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 Business intelligence &amp; reporting (Power BI, Tableau, Alteryx, etc.)
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 Microsoft Office applications (MS Excel, etc.)
 
 
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</div>

Data Scientist - REFM

<div>Key Accountabilities
<ul><li>BI Self-Care Layer &amp; Reports/Dashboard Design &amp; Development
<ul><li>Plan and develop MicroStrategy Dossier layers to support self-service BI capabilities.
</li><li>Prototype Dossiers and reports for business validation, ensuring alignment with business needs.
</li><li>Deliver new reports and dashboards, or enhance existing ones, to support organizational analytics requirements.
</li><li>Maintain business metadata (measures &amp; dimensions) to support consistency across analytics content.
</li><li>Handover and train end-users on BI solutions to maximize adoption and self-sufficiency.
</li></ul></li><li>Ad-hoc / Deep-Dive Analyses
<ul><li>Conduct in-depth exploratory analyses to identify trends, patterns, and business opportunities.
</li><li>Work closely with business teams to deliver ad-hoc insights that support strategic decision-making.
</li><li>Provide customized reports and analyses in response to urgent or critical business needs.
</li><li>Leverage Teradata, Python, R, and RapidMiner to execute advanced data exploration techniques.
</li></ul></li><li>Advanced Analytics
<ul><li>Develop and implement predictive models and machine learning algorithms to drive business insights and automation.
</li><li>Design and optimize semantic metric models to enhance both descriptive and predictive analytics capabilities.
</li><li>Utilize Teradata, Python, R, and RapidMiner to develop, test, and validate statistical and machine learning models.
</li><li>Research and apply advanced analytical techniques such as clustering, classification, regression, and time-series forecasting to solve business challenges.
</li><li>Ensure predictive models are explainable, actionable, and aligned with business objectives to maximize adoption and impact.
</li><li>Continuously evaluate and enhance model accuracy, performance, and scalability through rigorous testing and optimization.
</li></ul></li><li>Storytelling &amp; Data Literacy
<ul><li>Translate complex data insights into compelling narratives that drive business impact.
</li><li>Ensure data-driven insights are communicated effectively to both technical and non-technical audiences.
</li><li>Drive data literacy initiatives, enabling teams to interpret, analyze, and act on data.
</li><li>Develop and deliver training sessions and workshops to improve organization-wide data fluency.
</li><li>Foster a culture of data-driven decision-making by promoting the effective use of BI tools and analytics.
</li></ul></li></ul>Qualifications:
<ul><li>Bachelor's or Master&rsquo;s degree in Data Science, Computer Science, Information Systems, or a related field.
</li><li>Certifications in BI tools (MicroStrategy, Tableau, Power BI), Data Science (Python, R), or Data Engineering are a plus.
</li></ul>Experience:
<ul><li>8-10 years of experience in analytics, data modelling, and BI publishing, with at least 3 years in a leadership role.
</li><li>An operational &amp; substantial experience (at least 5 years) in similar position experience in a Telecom company
</li><li>Minimum 7 years in building reporting solutions.
</li><li>Extensive hands-on experience with Teradata DWH for data warehousing and modelling.
</li><li>Extensive proficiency in MicroStrategy semantic data modelling tooling (Architect).
</li><li>Proven expertise in working with Teradata DWH, MicroStrategy BI tool, and/or Cloudera CDP.
</li><li>Strong background in delivering BI reports/dashboards and SPoT publications.
</li><li>Exposure / deployment of ETL development tools such as Informatica, Ab Initio, Ascential Data Stage.
</li><li>Experience with data science tools like RapidMiner, R, and Python.
</li><li>Must have experience working directly with end-users and analysts in a business intelligence environment.
</li><li>Knowledge of Telco BSS/OSS database structures is a plus.
</li></ul>Skills
<ul><li>Technical Skills
<ul><li>Extensive hands-on experience with Teradata DWH for data warehousing and modelling.
</li><li>Proficiency in MicroStrategy BI tool for dashboarding and reporting.
</li><li>Advanced expertise in Python, R, and RapidMiner for data analysis and modelling.
</li><li>Familiarity with Cloudera CDP for data processing and analytics infrastructure.
</li></ul></li><li>Soft Skills
<ul><li>Data Storytelling: Ability to simplify complex data and present insights in a compelling and actionable format.
</li><li>Data Literacy: Strong capability to educate and train non-technical users on understanding and using data effectively.
</li><li>Stakeholder Management: Ability to work cross-functionally with IT, Operations, and Business teams.
</li><li>Strategic Thinking: Proactively align analytics initiatives with business objectives and long-term vision.
</li><li>Communication &amp; Presentation: Strong ability to convey data-driven insights in a meaningful way to different levels</li></ul></li></ul></div>

Data Analytics (BI & AA) Manager

Elanco

Education : EQUIVALENTEXPERIENCE
 
<div>At Elanco (NYSE: ELAN) &ndash; it all starts with animals!
As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose &ndash; all to Go Beyond for Animals, Customers, Society and Our People.
At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you&rsquo;ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.
Making animals&rsquo; lives better makes life better &ndash; join our team today!
Your Role: Principal Data Scientist<ul><li>
This role supports the needs of the Global Analytics &amp; Insights team, part of the Corporate Strategy Team, with a focus on providing Advanced Analytics (to include statistical modeling, regression analyses, market basket, churn modelling methods) to work on program/promotion design and ROI post program. Additional project-based work around price elasticity, mixed market modelling, segmentation, game theory modelling and predictive analytics (e.g., customer lifetime value) will be in scope. The overarching goal of all work will be to find efficiencies in current promotional spend and optimize future business activities.</li><li>
This position is responsible for managing all aspects of project-based analyses including data preparation, analysis design, implementation using appropriate methods &amp; results presentation.</li></ul>
Responsibilities:<ul><li>
Lead discussions with customers to uncover needs, design and deliver analytics solutions. Enable measurement and improved effectiveness of rebates, media spend, pricing and sales force activities leveraging statistics and data science techniques.</li><li>
Collaborate with internal stakeholders, descriptive analytics team and cross-functional teams to solve business problems, propose efficiencies and innovative approaches.</li><li>
Constantly innovate in data science domain, constantly bringing new expertise to the team and adding to team knowledge</li></ul><ul><li>
Guide the junior members on technical and functional aspects, problem formulation, approach design, model building, model refinement and selection, reviewing and storyboarding the results.</li><li>
Consistent, constant alignment with all members of team in Greenfield, Indiana.</li></ul>
Minimum Qualification :<ul><li> Bachelor&rsquo;s Degree in quantitative or management field. (Master&rsquo;s preferred)</li><li> 6+ years of experience in Advanced Analytics, Commercial Effectiveness.</li><li> Expertise in statistical modelling techniques &ndash; A/B testing, regression, clustering, classification, decision trees, forecasting.</li><li> Expertise of probability models, market basket, churn modelling, segmentation and customer analytics.</li><li> Advanced skills in Python, R and advanced excel.</li><li> Proven analytical/problem solving skills with strong learning agility.</li></ul><ul><li>
Excellent written and verbal communication</li><li>
Demonstrated excellence in Power Point and storyboarding.</li></ul>
Preferred qualifications<ul><li>
Experience with Tableau, SQL.</li><li>
Experience with Azure ML &amp; Model Deployment</li><li>
Experience with GitHub</li><li>
Project management experience across multiple business functions</li><li>
Experience in pharma/retail domain</li></ul> 
Additional Information:<ul><li>
Travel:0 %</li><li>
Location: IN, Bangalore - Hybrid Work Environment</li></ul>
Don&rsquo;t meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!
Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status</div>

Principal Data Scientist

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