data analysis manager

Al-Futtaim Automotive

Overview Data Science Manager - Operations at Al-Futtaim Automotive leads AI and advanced analytics initiatives that transform operational performance. Focus areas include predictive modelling, anomaly detection, and process optimization to drive efficiency, reduce costs, and enhance customer satisfaction. What You Will Do <ul><li>Build and deploy predictive models for price elasticity, predictive maintenance, churn prediction, and anomaly detection in parts utilization.</li><li>Standardize operational KPIs and real-time reporting systems across brands using statistical process control and advanced visualization techniques.</li><li>Deliver actionable insights on sales and operational performance using causal inference, A/B testing, and counterfactual models.</li><li>Collaborate with cross-functional stakeholders to identify new use cases, define business cases, and prioritize high-impact initiatives.</li><li>Lead and mentor a team of data scientists, ensuring robust MLOps practices and scalable model deployment.</li></ul> Required Skills To Be Successful <ul><li>Expertise in time series analysis, regression, and survival analysis for price elasticity and churn prediction.</li><li>Proficiency in IoT data analysis, predictive maintenance algorithms, and unsupervised learning techniques for anomaly detection.</li><li>Strong knowledge of causal inference, A/B testing, counterfactual modelling, and optimization algorithms.</li><li>Familiarity with deep learning frameworks and pattern recognition for complex operational data.</li><li>Strong stakeholder engagement and the ability to turn complex data insights into operational improvements.</li></ul> About The Team You will report to the Head of AI and Data Science for Operational Excellence and lead a team of Data Scientists and a Data Science Manager. The team works within the Finance Department, playing a key role in improving efficiency, reducing risk, and unlocking value across all operational functions. What Equips You For The Role <ul><li>Bachelor's, Master's, or PhD in Computer Science, Statistics, or a related field.</li><li>7+ years of experience in data science, operations analytics, or AI-driven business transformation.</li><li>Hands-on expertise with advanced statistics, optimization, survival analysis, causal and Bayesian modelling, time series forecasting, graph neural networks, and recommender systems.</li><li>Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).</li><li>Knowledge of NLP, transformers, autoencoders, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).</li><li>Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).</li><li>Strong leadership, communication, and project management skills.</li></ul> About Al-Futtaim Automotive A major division of the UAE-based Al-Futtaim Group, Al-Futtaim Automotive operates in 10 countries across the Middle East, Asia and Africa. We distribute, manufacture, lease and provide aftersales services for brands including Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are focused on delivering world-class omni-channel experiences and mobility solutions, supported by a 9,000-person team. Job Details <ul><li>Seniority level: Mid-Senior level</li><li>Employment type: Full-time</li><li>Job function: Engineering and Information Technology</li><li>Industries: Motor Vehicle Manufacturing</li></ul>Location: Abu Dhabi, United Arab Emirates<img src="https://www.jobg8.com/Tracking.aspx?%2fh34g3pSz%2f5bU2YP0yWr4knhQoc5YqwEp" width="0" height="0" />

Data Science Manager - Operations Al-Futtaim Automotive

Robinson & Co (Singapore) Pte Ltd

Overview Data Science Manager (Operations) at Al-Futtaim Automotive leads AI and advanced analytics initiatives that transform operational performance across the business. This role focuses on predictive modelling, anomaly detection, and process optimization to drive efficiency, reduce costs, and enhance customer satisfaction. What you will do <ul><li>Build and deploy predictive models for price elasticity, predictive maintenance, churn prediction, and anomaly detection in parts utilization.</li><li>Standardize operational KPIs and real-time reporting systems across brands using statistical process control and advanced visualization techniques.</li><li>Deliver actionable insights on sales and operational performance using causal inference, A/B testing, and counterfactual models.</li><li>Collaborate with cross-functional stakeholders to identify new use cases, define business cases, and prioritize high-impact initiatives.</li><li>Lead and mentor a team of data scientists, ensuring robust MLOps practices and scalable model deployment.</li></ul> Required skills to be successful <ul><li>Expertise in time series analysis, regression, and survival analysis for price elasticity and churn prediction.</li><li>Proficiency in IoT data analysis, predictive maintenance algorithms, and unsupervised learning techniques for anomaly detection.</li><li>Strong knowledge of causal inference, A/B testing, counterfactual modelling, and optimization algorithms.</li><li>Familiarity with deep learning frameworks and pattern recognition for complex operational data.</li><li>Strong stakeholder engagement and the ability to turn complex data insights into operational improvements.</li></ul> About the team You will report to the Head of AI and Data Science for Operational Excellence and lead a team of Data Scientists and a Data Science Manager. The team works within the Finance Department, playing a key role in improving efficiency, reducing risk, and unlocking value across all operational functions. What equips you for the role <ul><li>Bachelor's, Master's, or PhD in Computer Science, Statistics, or a related field.</li><li>7+ years of experience in data science, operations analytics, or AI-driven business transformation.</li><li>Hands-on expertise with advanced statistics, optimization, survival analysis, causal and Bayesian modelling, time series forecasting, graph neural networks, and recommender systems.</li><li>Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).</li><li>Knowledge of NLP, transformers, autoencoders, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).</li><li>Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).</li><li>Strong leadership, communication, and project management skills.</li></ul> About Al-Futtaim Automotive A major division of the UAE-based Al-Futtaim Group of companies, Al-Futtaim Automotive is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. Our core business activities include distribution, manufacturing, leasing and aftersales, and we are the regional representative of brands such as Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are driven by a customer-centric approach, pushing innovation, quality standards, and value-added service across our customer base. Our mission is to become the leader in mobility solutions by delivering world-class omni-channel experiences. We employ a 9,000-member team with growth opportunities across the career path. This is Al-Futtaim Automotive and we empower talent to move forward.<img src="https://www.jobg8.com/Tracking.aspx?n5tSDoUM%2b4YXVWZZgy8zIrp9EqF8t9BKj" width="0" height="0" />

Data Science Manager - Finance Al-Futtaim Automotive Al-Futtaim Automotive is the automotive division of Al Futtaim Group, headquartered in Dubai, UAE. The Group operates in automotive, financial services, real estate, retail and healthcare, employing more than 35,000 people across more than 20 countries. Our values are respect, excellence, collaboration, and integrity, and we are committed to customer focus and innovation. Overview of the Role As a Data Science Manager (Finance) you will lead AI and data science initiatives that optimize financial performance, strengthen risk management, and improve business decision making. The role focuses on advanced predictive modeling, financial forecasting, and portfolio optimization to create measurable impact across the organization. What You Will Do <ul> <li>Build and deploy predictive models for residual value optimization, credit risk scoring, probability of default, and F&I leasing pricing optimization.</li> <li>Standardize financial KPIs and risk dashboards using statistical process control and advanced visualization tools.</li> <li>Generate financial insights through time series analysis, portfolio optimization, survival analysis and risk modeling.</li> <li>Collaborate with finance and risk teams to identify and prioritize high potential data driven use cases.</li> <li>Lead and mentor a team of data scientists, ensuring the delivery of scalable machine learning and AI models.</li> <li>Report to the Head of Financial Data Science and oversee a team that plays a critical role in enhancing financial planning, risk management, and profitability.</li> </ul> Required Skills and Experience <ul> <li>Advanced expertise in time series forecasting, regression, logistic regression and random forests.</li> <li>Strong skills in survival analysis, reinforcement learning, and genetic algorithms.</li> <li>Deep knowledge of portfolio optimization, risk modelling and causal inference techniques.</li> <li>Proficiency in deep learning (CNNs, RNNs, LSTMs, Transformers) and advanced pattern recognition.</li> <li>Strong understanding of financial regulations and their impact on AI/ML model development.</li> <li>Excellent stakeholder management and ability to translate complex financial models into actionable insights.</li> <li>Bachelor's, Master's or PhD in Financial Analytics, Computer Science or related field.</li> <li>7+ years of experience in financial analytics, data science and machine learning.</li> <li>Hands on expertise in advanced statistics, optimization, causal and Bayesian modeling, Monte Carlo simulations, graph neural networks and recommender systems.</li> <li>Proficient in Python, SQL, Databricks and ML libraries such as TensorFlow, PyTorch, Scikit learn, ARIMA/SARIMA, Prophet.</li> <li>Knowledge of NLP, autoencoders, transformers, NER, computer vision (OpenCV, YOLO) and model explainability (SHAP, LIME).</li> <li>Experience with MLOps, Git and visualization tools (Matplotlib, Seaborn, Plotly).</li> <li>Strong leadership, problem solving and communication skills to manage teams and deliver business impact.</li> </ul> About The Team You will report to the Head of Financial Data Science and lead a team of Data Scientists and a Data Science Manager within the Finance Department. About Al-Futtaim Automotive Al-Futtaim Automotive is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. We specialize in distribution, manufacturing, leasing and aftersales, and represent iconic automotive brands. Our mission is to become the leader in custom made mobility solutions by delivering world class omni channel experiences. We empower talent to move forward.<img src="https://www.jobg8.com/Tracking.aspx?n5tSDoUM%2b4Y8zcMbv499TohRgZKUJ2h8j" width="0" height="0" />

Data Science Manager - Finance Al-Futtaim Automotive

Information Technology Senior Management Forum

<div><div>Posted Date
10/24/2025
</div><div>Description
<div>Senior Manager, Data Analysis (Payments)
At Capital One, data is at the center of everything we do. When we were a tiny startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and that little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. Twenty-five years after Capital One was started it&rsquo;s still led by its founder. Be ready to join a community where you put the customer first and want to use your data skills to make a difference.
Capital One&rsquo;s Audit Analytics and Innovation Team is driving the transformation of how we work in internal audit with data &amp; technology. We define the roadmap for the department&rsquo;s overall data powered assurance strategy, maintain a well managed data environment, design new early stage products and services, and accelerate audit delivery through innovative methods and technologies.
The Analytics and Innovation team is a diverse, highly engaged, collaborative, cross-functional organization made up of data analysts and scientists, business analysts and auditors, who collaborate to design analytical solutions that will reinvent how we review the risk environment, enhance our coverage assurance, and increase our capacity efficiency. 
Data Analysts play a critical role in achieving our strategy. As a data analytics Senior Manager in the team, you will apply your analytical and technical skills to influence a large array of impact areas; to drive our Audit Analytics driven assurance delivery, lead well managed Data Management function and influence our data powered innovation vision through automation and product development. You and your team will also drive audit assurance activities by diving deep into a line of business within our Enterprise, using data exploration and analytics to creatively seek out unidentified areas of risk. 
What you&rsquo;ll do:<ul><li>
Lead your team in audit delivery assurance for Payment Network line of business, engaging with auditors, senior audit engagement owners and leadership to develop a robust analytics testing strategy</li><li>
Lead the efforts to create a well managed data environment for Audit data</li><li>
Partnering with data-focused product and reporting teams to establish and execute plans to remediate data management policy violations</li><li>
Independently researching, identifying, and prototyping industry best practices for emerging data trends with a goal of preventing data issues</li><li>
Influence our agenda for automation and product development and guide a team of analysts to identify opportunities for automating manual tasks and drive enhanced assurance</li><li>
Help build self service and automation solutions leveraging front end and back end technology stack including Python, Flask, Dash and RPA bots.</li><li>
Manage multiple projects and challenging priorities with consistency and transparency, while successfully knowing which projects and components of the roadmap to tackle first</li><li>
Regularly present and communicate findings to senior leadership in a clear and compelling way. Lead discussions that help inform decision-making across the business</li><li>
Develop analytical frameworks to proactively or reactively solve business problems, create insights, perform detailed analyses, design and measure experiments, develop customer/product segmentations, forecast key KPIs, and utilize models for various business objectives</li></ul>
An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams
Basic Qualifications<ul><li>
Currently has, or is in the process of obtaining a Bachelor&rsquo;s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master&rsquo;s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.</li><li>
At least 5 years of experience performing professional data analysis work</li><li>
At least 5 years of experience leading and developing with open source data technologies</li><li>
At least 2 years of experience managing people</li></ul> 
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field</li><li>
Experience with payments or networks data</li><li>
At least 7 years of experience in statistical or econometrics hands-on work</li><li>
At least 5 years of experience manipulating and performing analysis with large data sets</li><li>
At least 5 years of experience in financial services industry</li><li>
At least 5 years of experience in developing statistical or econometric models</li><li>
At least 5 years of experience in validating statistical or econometric models</li><li>
At least 2 years of experience with data governance</li><li>
At least 2 years of experience with predictive analytics</li></ul> 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $193,000 - $220,300 for Sr. Data Analysis Manager 

Richmond, VA: $175,500 - $200,300 for Sr. Data Analysis Manager 

New York, NY: $210,500 - $240,300 for Sr. Data Analysis Manager 

Riverwoods, IL: $175,500 - $200,300 for Sr. Data Analysis Manager 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Manager, Data Analysis (Payments)
At Capital One, data is at the center of everything we do. When we were a tiny startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and that little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. Twenty-five years after Capital One was started it&rsquo;s still led by its founder. Be ready to join a community where you put the customer first and want to use your data skills to make a difference.
Capital One&rsquo;s Audit Analytics and Innovation Team is driving the transformation of how we work in internal audit with data &amp; technology. We define the roadmap for the department&rsquo;s overall data powered assurance strategy, maintain a well managed data environment, design new early stage products and services, and accelerate audit delivery through innovative methods and technologies.
The Analytics and Innovation team is a diverse, highly engaged, collaborative, cross-functional organization made up of data analysts and scientists, business analysts and auditors, who collaborate to design analytical solutions that will reinvent how we review the risk environment, enhance our coverage assurance, and increase our capacity efficiency. 
Data Analysts play a critical role in achieving our strategy. As a data analytics Senior Manager in the team, you will apply your analytical and technical skills to influence a large array of impact areas; to drive our Audit Analytics driven assurance delivery, lead well managed Data Management function and influence our data powered innovation vision through automation and product development. You and your team will also drive audit assurance activities by diving deep into a line of business within our Enterprise, using data exploration and analytics to creatively seek out unidentified areas of risk. 
What you&rsquo;ll do:<ul><li>
Lead your team in audit delivery assurance for Payment Network line of business, engaging with auditors, senior audit engagement owners and leadership to develop a robust analytics testing strategy</li><li>
Lead the efforts to create a well managed data environment for Audit data</li><li>
Partnering with data-focused product and reporting teams to establish and execute plans to remediate data management policy violations</li><li>
Independently researching, identifying, and prototyping industry best practices for emerging data trends with a goal of preventing data issues</li><li>
Influence our agenda for automation and product development and guide a team of analysts to identify opportunities for automating manual tasks and drive enhanced assurance</li><li>
Help build self service and automation solutions leveraging front end and back end technology stack including Python, Flask, Dash and RPA bots.</li><li>
Manage multiple projects and challenging priorities with consistency and transparency, while successfully knowing which projects and components of the roadmap to tackle first</li><li>
Regularly present and communicate findings to senior leadership in a clear and compelling way. Lead discussions that help inform decision-making across the business</li><li>
Develop analytical frameworks to proactively or reactively solve business problems, create insights, perform detailed analyses, design and measure experiments, develop customer/product segmentations, forecast key KPIs, and utilize models for various business objectives</li></ul>
An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams
Basic Qualifications<ul><li>
Currently has, or is in the process of obtaining a Bachelor&rsquo;s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master&rsquo;s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.</li><li>
At least 5 years of experience performing professional data analysis work</li><li>
At least 5 years of experience leading and developing with open source data technologies</li><li>
At least 2 years of experience managing people</li></ul> 
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field</li><li>
Experience with payments or networks data</li><li>
At least 7 years of experience in statistical or econometrics hands-on work</li><li>
At least 5 years of experience manipulating and performing analysis with large data sets</li><li>
At least 5 years of experience in financial services industry</li><li>
At least 5 years of experience in developing statistical or econometric models</li><li>
At least 5 years of experience in validating statistical or econometric models</li><li>
At least 2 years of experience with data governance</li><li>
At least 2 years of experience with predictive analytics</li></ul> 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $193,000 - $220,300 for Sr. Data Analysis Manager 

Richmond, VA: $175,500 - $200,300 for Sr. Data Analysis Manager 

New York, NY: $210,500 - $240,300 for Sr. Data Analysis Manager 

Riverwoods, IL: $175,500 - $200,300 for Sr. Data Analysis Manager 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
193,000.00 - 220,300.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Senior Manager, Data Analysis (Payments)

Overview Of The Role As a Data Science Manager (Operations) at Al-Futtaim Automotive, you will lead AI and advanced analytics initiatives that transform operational performance across the business. This role focuses on predictive modelling, anomaly detection, and process optimization to drive efficiency, reduce costs, and enhance customer satisfaction. What You Will Do <ul><li>Build and deploy predictive models for price elasticity, predictive maintenance, churn prediction, and anomaly detection in parts utilization.</li><li>Standardize operational KPIs and real-time reporting systems across brands using statistical process control and advanced visualization techniques.</li><li>Deliver actionable insights on sales and operational performance using causal inference, A/B testing, and counterfactual models.</li><li>Collaborate with cross-functional stakeholders to identify new use cases, define business cases, and prioritize high-impact initiatives.</li><li>Lead and mentor a team of data scientists, ensuring robust MLOps practices and scalable model deployment.</li></ul> Required Skills To Be Successful <ul><li>Expertise in time series analysis, regression, and survival analysis for price elasticity and churn prediction.</li><li>Proficiency in IoT data analysis, predictive maintenance algorithms, and unsupervised learning techniques for anomaly detection.</li><li>Strong knowledge of causal inference, A/B testing, counterfactual modelling, and optimization algorithms.</li><li>Familiarity with deep learning frameworks and pattern recognition for complex operational data.</li><li>Strong stakeholder engagement and the ability to turn complex data insights into operational improvements.</li></ul> About The Team You will report to the Head of AI and Data Science for Operational Excellence and lead a team of Data Scientists and a Data Science Manager. The team works within the Finance Department, playing a key role in improving efficiency, reducing risk, and unlocking value across all operational functions. What Equips You For The Role <ul><li>Bachelor's, Master's, or PhD in Computer Science, Statistics, or a related field.</li><li>7+ years of experience in data science, operations analytics, or AI-driven business transformation.</li><li>Hands-on expertise with advanced statistics, optimization, survival analysis, causal and Bayesian modelling, time series forecasting, graph neural networks, and recommender systems.</li><li>Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).</li><li>Knowledge of NLP, transformers, autoencoders, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).</li><li>Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).</li><li>Strong leadership, communication, and project management skills.</li></ul> About Al-Futtaim Automotive A major division of the UAE-based Al-Futtaim Group of companies, Al-Futtaim Automotive is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. Our core business activities at Al-Futtaim Automotive include distribution, manufacturing, leasing and aftersales, and we are firmly established as the regional representative of some of the world's most iconic automotive brands: Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are driven by a customer-centric approach, constantly pushing the boundaries on innovation, quality standards, and value-added service across our vast universe of customers - right from motoring enthusiasts to fleet operators to contractors. Our mission is to become the leader in custom-made mobility solutions by delivering nothing less than world-class omni-channel experiences. We channel our local expertise and global trust to deliver one of the most comprehensive portfolios of mobility products and solutions, from passenger cars to SUVs, electric vehicles to high-performance motorbikes, commercial vehicles to industrial & construction equipment. What keeps the company moving forward is a 9000-member strong team, with inspiring possibilities for growth, throughout the career path. This is Al-Futtaim Automotive and we empower talent to move forward. Seniority level <ul><li>Not Applicable</li></ul> Employment type <ul><li>Full-time</li></ul> Job function <ul><li>Engineering and Information Technology</li></ul> Industries <ul><li>Retail</li></ul><img src="https://www.jobg8.com/Tracking.aspx?xFcAYD4BOV%2bpkZIvbqNP5Qm1WWCbyzziw" width="0" height="0" />

McDonald's

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has opportunities in Hyderabad. Our global offices serve as a dynamic innovation and operations hub, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 Functional EDAA Consulting Support: (Manager, Data Analytics)
 
 
 
 The Enterprise Data, Analytics, and AI Manager (EDAA) supports data-driven decision-making by analyzing trends in key performance metrics, identifying how the data can guide decisions, and delivering actionable insights. It is an exciting role for McDonalds as the role is a strategic partner to Chief People Officers in International Markets. It will help identify and address the challenges the company faces and will consult to the Global People Leadership Team. The role will execute on People Analytics strategy including the successful delivery of Data Products and Services in markets around the world. This role will leverage advanced People analytics to consult and influence complex and impactful business decisions. Besides technical and consultative work, this role will require a high degree of accountability in terms of managing data and finding ways to improve McDonald&rsquo;s data management processes. Additionally, the role requires excellent presentation and communication skills to inform and influence Senior Director, Vice President, and higher level leaders as a strategic partner.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 <ul>
 <li>
 Lead deployment of new People Analytics Operating model with a focus on Data Product (Tableau, Power BI) and Data Service delivery
 </li>
 <li>
 Coach, train, and consult with stakeholders across the globe in leveraging People Insights to improve and streamline decision making
 </li>
 <li>
 Data Storytelling using advanced analysis (Regression, Random Forest, Natural Language Processing, Factor Analysis) to articulate complex insights to technical and non-technical audiences
 </li>
 <li>
 Conduct in-depth analysis using descriptive and perspective techniques (Python, R). Partner across the team to develop analytical models that can be repeated overtime.
 </li>
 <li>
 Prepare reports and dashboards (Tableau, Power BI, Alteryx) for stakeholders that summarize key trends.
 </li>
 <li>
 Learn and apply new data analysis techniques.
 </li>
 <li>
 Support ad-hoc data requests from various departments.
 </li>
 <li>
 Consult to International Market Chief People Officers and executive leadership teams on people insights.
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills with proficiency in data analysis tools and software (SQL, Python, R, Tableau, Power BI). Experience with advanced data modelling (regression, machine learning frameworks, Databricks) is a requirement.
 </li>
 <li>
 Experience in data visualization and storytelling to communicate insights effectively (Tableau, Power BI).
 </li>
 <li>
 Educational background in Data Science, Statistics, or Computer Science. Candidates with advanced analytics certifications preferred
 </li>
 <li>
 3+ years of Professional experience in data analytics (Operations, Finance, or People preferred), business intelligence, or a similar role
 </li>
 <li>
 Experience working in an international and cross-functional team while managing multiple projects and workstreams. Experience leveraging tools such as Jira and Confluence or Agile methodology is preferred
 </li>
 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work pattern:
 
 Full time role
 
 .
 
 
 
 
 Work mode:
 
 Hybrid
 
 .
 
 
 
 
 
 
 
 Additional Information:
 
 
 
 McDonald&rsquo;s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald&rsquo;s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
 
 
 McDonald&rsquo;s Capability Center India Private Limited (&ldquo;McDonald&rsquo;s in India&rdquo;) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald&rsquo;s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald&rsquo;s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws.
 
 
 Nothing in this job posting or description should be construed as an offer or guarantee of employment.
 
</div>

Manager - Data Analytics [T500-21008]

Visa

<div>Company Description 
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. 
Job Description 
The Manager of Data Science is one of the risk roles in the Central Europe, Middle East and Africa (CEMEA) Data Science risk team. We are seeking an innovative and analytical thinker to champion our data-driven strategies within the region. As a Data Science Risk Manager, you will participate in building predictive and prescriptive models, and develop context-based prototypes and high-impact storyboards that promote data-driven strategies and solutions for Visa clients. The position will primarily focus on engagements in the area of fraud and operational risks, deep risk analytics, risk scoring as well as marketing solutions from Merchant/Acquiring.
Principal Responsibilities<ul><li>
Work entails heavy focus on developing and implementing best-in-class risk analytic solutions, inclusive of scoring and non-scoring models. Create and deliver powerful insights from data through better visualization and storyboarding</li><li>
Work with a broader team that consists of Business Managers, Consultants and Data Scientists from both Visa and client organizations to strategize, co-create, deploy and reap the benefits of data-driven solutions</li><li>
Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visa&rsquo;s growth in the region</li><li>
Keep Visa at the forefront of technological advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights</li><li>
Ability to quickly understand and process alternate/non-conventional data sources/platforms and develop AI based advanced prediction algorithms</li><li>
Develop next-generation analytic methods where existing tools and techniques are inadequate to address business challenges</li><li>
Collaborate with internal Technology partners and Data Engineering function to best leverage Visa&rsquo;s internal technology platforms, data, and the broader Visa ecosystem to support our clients&rsquo; technical data needs</li><li>
Manage workload for self and any direct reports, providing prioritization guidance for project flow to improve process efficiency</li><li>
Develop, share, and build global best practices and knowledge management within the team</li><li>
Socialize innovative ideas and approaches that are scalable and have market demand</li><li>
Champion internal requirements around Model Risk Management, Visa Analytics Rules, and Global Privacy standards around client delivery to ensure that Visa&rsquo;s highly regarded market standing is maintained</li></ul>
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. 
Qualifications<div> 
Professional Experience 
<ul><li>Minimum of 6+ years of expertise in applying Machine Learning solutions to business problems &ndash; model development and production experience required</li><li>Post-graduate degree (Masters or PhD) in quantitative fields such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering</li><li>Excellent knowledge, experience and understanding of quantitative techniques (modelling, statistics, root-cause, etc.) applied to Risk Management with a focus on Card and Payments. Familiarity with key Risk and Performance Indicators. Experience working in one or more of the Card &amp; Payments markets around the globe, with specific responsibilities in payments, retail banking, or retail merchant industries</li><li>Good understanding of Payments and the Banking industry, including card verticals such as consumer credit, consumer debit, prepaid, small business, commercial and co-branded product</li><li>Expert knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies, with demonstrated ability to incorporate new techniques to solve business problems</li><li>Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams, including resource planning and delivery implementation</li><li>Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels</li><li>Develop Risk advisory related knowledge and capabilities creating next generation risk engagement with Visa clients specializing in Merchant/Acquiring side of payment processing</li><li>Knowledge of Merchant fraud engines/solutions like CYBS/MPGS is preferred</li><li>Partner with in-market VCA consultants and data scientists to deliver risk-related advisory engagements</li><li>Establish Intellectual Property (IP) risk repository for VCA by capitalizing on learnings from consulting engagements (e.g., build standard methods, create library of case studies, templatize modeling codes)</li><li>Reengineer and/or package risk consulting methodologies and data driven solutions as appropriate, ensuring world-class best practices and efficiency through economies of scale</li><li>Partner with other Visa functions (e.g., Risk, Products) to capitalize on existing risk products/solutions and co-design new ones leveraging Visa&rsquo;s assets (expertise, data, capabilities)</li><li>Proven ability to deliver results within committed scope, timeline and budget</li><li>Very strong project management skills and experience</li><li>Ability to travel within CEMEA on short notice</li></ul>
Technical Expertise 
<ul><li>Expertise in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)</li><li>Strong understanding and experience of modern technology stack and microservice architecture including Kotlin, Spring boot, PostgreSQL, Kafka, AWS</li><li>Relevant experience of engineering unstructured/structured data from Telco, Supermarket, Social Media, Online logs, E-commerce, etc is preferrable</li><li>Ability to write scratch MapReduce jobs and fluency with Spark frameworks</li><li>Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE&rsquo;s (Jupyter Notebooks), proficiency in SAS technologies and techniques is preferred</li><li>Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL</li><li>Experience in drafting solution architecture frameworks that rely on API&rsquo;s and micro-services</li><li>Familiarity with common data modeling approaches and ability to work with various datatypes including JSON, XML, etc.</li><li>Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio, familiarity with data lineage processes and schema management tools such as Avro</li><li>Proficient in some or all the following techniques: Linear &amp; Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, Bagging and Boosting algorithms, etc.</li><li>Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID)</li></ul></div> 
Additional Information 
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

Risk Data Science Manager

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