289 Machine Learning Techniques jobs in the United Arab Emirates

Join the
Roads and Transport Authority (RTA)
to lead transformative
AI strategies
that shape the future of smart mobility and data-driven governance in Dubai. We're looking for a dynamic
Chief Specialist
to drive cutting-edge
AI research
,
project implementation
, and
cross-agency innovation
.

Key Responsibilities:

• Implement and manage the
  AI Strategy
  aligned with RTA's
  Digital Vision
• Lead design, testing, and deployment of
  AI solutions
  including
  machine learning
  ,
  NLP
  ,
  computer vision
  , and
  robotics
• Develop the
  AI roadmap
  , methodology, policies, and standards across departments
• Drive AI
  proof-of-concept
  development, tendering, vendor management, and project delivery
• Foster a culture of
  AI innovation
  , experimentation, and capability building across RTA
• Conduct global AI research, evaluate tech trends, and optimize executed use cases
• Identify and prioritize AI projects across agencies based on organizational needs and impact
• Build and mentor a high-performing
  AI engineering team
  focused on continuous learning

Qualifications & Skills:

• Bachelor's degree
  in IT, Computer Science, Computer Engineering, or equivalent
• Minimum
  11 years
  of proven experience leading successful
  AI projects
• Expertise in
  machine learning
  ,
  deep learning
  ,
  reinforcement learning
  ,
  generative AI
  , and
  neural networks
• Proficiency in
  Python
  ,
  Java
  ,
  Scala
  ,
  C++
  , or
  R
• Hands-on with frameworks like
  TensorFlow
  ,
  Keras
  ,
  Scikit-learn
  ,
  Caffe
  , etc.
• Experience with
  structured & unstructured data
  ,
  KPI development
  , and
  agile/scrum methodologies

Be part of Dubai's transformation into a world-class smart city

Overview

Embark on a journey where your unique contributions are celebrated, and your professional growth is embraced. At ADCB, we nurture a diverse, inclusive community where every voice is valued.

GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.

• Analyze complex banking products and services for strategic decision-making.
• Leverage Artificial Intelligence (AI)/Machine Learning (ML) to enhance core banking processes and digital journeys.
• Leads banking analytics projects to drive business growth and innovation.
• Design and deploy advanced AI/ML models to optimize banking operations and customer journeys
• Build scalable ML pipelines using Azure AI Foundry or AWS SageMaker
• Fine-tune generative AI models using Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
• Conduct A/B testing and statistical inference.
• Collaborate with engineers for containerized CI/CD
• Monitor model performance using MLOps and Large Language Models (LLM) metrics BLEU, ROUG.

• Minimum 7 years of experience in data science, with proven expertise in AI/ML, statistical modeling, and cloud-based deployments
• Strong background in banking processes, operations, terminologies, generative AI, and MLOps is essential
• Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment is highly preferred
• Bachelor’s degree in quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics or related field required
• Master’s degree or equivalent in AI/ML is preferred
• Advanced Python and ML Development
• Statistical Analysis and Experimentation
• Machine Learning and MLOps
• Generative AI and LLMs
• Cloud-based ML Pipelines (Azure/AWS)
• Data Visualization and Dashboarding
• DevOps & CI/CD Practices

Comprehensive Benefits Package: This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).

Flexible and Remote Working Options: We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.

Learning and Development Opportunities: We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.

At ADCB, we are dedicated to creating a respectful, caring and disciplined work environment that aligns with your career ambitions.

Enterprise Data Science Lead – Applied AI (Corporate Finance)

Location:
Abu Dhabi, UAE |
Full-time

Are you passionate about transforming finance through AI? A leading Financial Institution is looking for an experienced
Enterprise Data Science Lead
to drive applied AI initiatives within its Corporate Finance division.

This is a high-impact role for someone who thrives at the intersection of cutting-edge technology and strategic business outcomes.

What You'll Do

• Build and deploy AI/ML models to optimize financial decision-making and operations.
• Develop domain-specific LLMs and RAG pipelines for intelligent automation.
• Collaborate with Finance, Risk, and Tech teams to identify and deliver AI opportunities.
• Automate workflows using agent-based AI tools.
• Evaluate and integrate third-party AI solutions.
• Champion responsible AI practices (bias detection, explainability, compliance).

What You Bring

• Master's or PhD in a technical field (CS, Math, Engineering).
• 10–12 years in applied data science or AI/ML delivery.
• Hands-on experience with LLM frameworks (LangChain, HuggingFace, Azure OpenAI).
• Strong MLOps background (CI/CD, monitoring, testing).
• Excellent communication and stakeholder engagement skills.

Tech Stack & Tools

Python | PyTorch | TensorFlow | LangChain | FAISS | Pinecone

Azure ML | Snowflake | Airflow | MLflow | SHAP | LIME

This role reports to the
Chief Data Analytics Officer
.

Why Join?

• Lead transformative AI initiatives in a dynamic finance environment.
• Collaborate with top-tier professionals across disciplines.
• Competitive compensation and benefits.
• Shape the future of AI in corporate finance.

Interested or know someone who fits the bill?

Let's connect Drop your CV or tag someone in the comments.

AIJobs #DataScience #LLM #FinanceCareers #MLOps #Hiring #AbuDhabiJobs #TechLeadership #AppliedAI #CorporateFinance

Job Requisition ID:

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group's entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.

By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day

Overview of the role

As a Data Science Manager (Customer) at Al-Futtaim Automotive, you will lead customer-centric AI and advanced analytics initiatives that drive marketing performance and enhance the customer experience. This role focuses on building predictive models, customer insights, and hyper-personalization solutions that create measurable business impact.

What you will do

• Build and deploy predictive models such as lead scoring, precision marketing, marketing attribution, customer segmentation, and hyper-personalization.
• Standardize and optimize marketing performance KPIs across brands using advanced statistical methods and data visualization.
• Deliver actionable customer insights through cohort analysis, customer lifetime value modelling, churn prediction, and campaign performance analysis.
• Collaborate with stakeholders to identify, define, and prioritize high-impact use cases supported by data-driven business cases.
• Lead and mentor a team of data scientists to deliver scalable AI/ML solutions that directly improve marketing ROI and customer experience.

Required skills to be successful

• Advanced knowledge of ensemble methods, gradient boosting, uplift modelling, and multi-arm bandits for marketing optimization.
• Expertise in attribution models (Markov chains, Shapley values), clustering techniques, recommender systems, and hyper-personalization.
• Proficiency in NLP, reinforcement learning, cohort analysis, lifetime value modelling, and churn prediction.
• Strong problem-solving skills and the ability to translate complex data science solutions into business value.
• Excellent stakeholder management, communication, and project management capabilities.

About the team

You will report to the Head of Customer Data Science and lead a small team comprising a Data Science Manager and Data Scientists. The team plays a pivotal role within the Finance Department at Al-Futtaim Automotive, driving innovation in customer analytics and marketing science.

What equips you for the role

• Bachelor's, Master's, or PhD in Marketing Analytics, Computer Science, or a related field.
• 7+ years of experience in customer analytics, data science, and AI/ML solutions.
• Hands-on expertise with machine learning techniques including CNNs, RNNs, LSTMs, time series forecasting, survival analysis, graph neural networks, Bayesian and causal modelling.
• Skilled in Python, SQL, Databricks, and modern ML libraries (scikit-learn, TensorFlow, PyTorch, Prophet, ARIMA/SARIMA).
• Proficient in CRM systems, marketing analytics platforms, and MLOps practices.
• Experience with LLMs, RAGs, and modern AI-based recommendation systems.
• Strong leadership skills to manage and mentor a data science team.

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.

Job Requisition ID:

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group's entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.

By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day

Overview of the role

As a Data Science Manager(Finance) at Al-Futtaim Automotive, you will lead AI and data science initiatives that optimize financial performance, strengthen risk management, and improve business decision-making. This role focuses on advanced predictive modelling, financial forecasting, and portfolio optimization to create measurable impact across the organization

What you will do

• Build and deploy predictive models for residual value optimization, credit risk scoring, probability of default, and F&I leasing pricing optimization.
• Standardize financial KPIs and risk dashboards using statistical process control and advanced visualization tools.
• Generate financial insights through time series analysis, portfolio optimization, survival analysis, and risk modelling.
• Collaborate with finance and risk teams to identify and prioritize high-potential data-driven use cases.
• Lead and mentor a team of data scientists, ensuring the delivery of scalable machine learning and AI models

Required skills to be successful

• Advanced expertise in time series forecasting, regression, logistic regression, and random forests.
• Strong skills in survival analysis, neural networks, reinforcement learning, and genetic algorithms.
• Deep knowledge of portfolio optimization, risk modelling, and causal inference techniques.
• Proficiency in deep learning (CNNs, RNNs, LSTMs, Transformers) and advanced pattern recognition.
• Strong understanding of financial regulations and their impact on AI/ML model development.
• Excellent stakeholder management and ability to translate complex financial models into actionable insights

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. The team operates within the Finance Department, playing a critical role in enhancing financial planning, risk management, and profitability through advanced analytics

What equips you for the role

• Bachelor's, Master's, or PhD in Financial Analytics, Computer Science, or related field.
• 7+ years of experience in financial analytics, data science, and machine learning.
• Hands-on expertise in advanced statistics, optimization, causal and Bayesian modelling, time series forecasting, Monte Carlo simulations, graph neural networks, and recommender systems.
• Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).
• Knowledge of NLP, autoencoders, transformers, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).
• Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).
• Strong leadership, problem-solving, and communication skills to manage teams and deliver business impact.

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.

Company Description:

talabat is part of the Delivery Hero Group, the world's pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.

Role Summary:

The Growth Data Science Director will play a pivotal role in leading and accelerating growth strategies across multiple dimensions, including marketing optimization and efficiency, growth product initiatives (e.g., churn reduction), ecosystem plays, and ads revenue optimization for tmart and Quick commerce.

This leader will drive business impact through the design, execution, and interpretation of experiments, empowering product, marketing, and operations teams to make data-informed decisions.

What's On Your Plate?

Data Science

• Responsible for defining and executing a comprehensive data strategy that aligns with the company's goals, leveraging data to drive business decisions and achieve strategic objectives.
• Lead cross-functional teams to design and implement innovative data-driven products and analytics insights, to deliver measurable impact on business outcomes.

Experimentation & Causal Inference

• Develop and oversee frameworks for rigorous
  A/B testing
  , multi-armed bandit testing, and quasi-experimental designs.
• Establish best practices for
  hypothesis formulation, testing methodologies, and causality analysis
  to ensure valid and actionable insights.
• Drive adoption of experimentation as a core decision-making process across the company.

Analytics & Insights

• Partner with cross-functional stakeholders to translate business challenges into well-defined analytical problems.
• Present clear, data-driven recommendations to senior leadership and executive teams.
• Ensure statistical rigor and best practices in all analyses conducted by the data science team.

Strategic Leadership and Business Acumen

• Demonstrate strategic leadership skills and an understanding of how data science can drive business success.
• Articulate your vision for your area and align your team's work with broader organizational goals.
• Identify emerging trends and technologies that can drive value for the business and take steps to incorporate them into your team's work.

Collaboration and Influence

• Work collaboratively with a wider range of stakeholders, including senior executives, product managers, and engineers.
• Build strong partnerships across the organization, communicate effectively, and influence decision-making.
• Manage relationships with external partners, such as vendors or academic institutions, and represent the organization in industry events and conferences.

Resource Management

As a director, you will have responsibility for managing a larger team of data scientists, analysts, and engineers, as well as budgets and resources.

• Make data-driven decisions about resource allocation, prioritize projects and initiatives, and manage risk effectively.
• Coach and mentor other managers within your team, helping them to develop their skills and grow as leaders.

Strategic Hiring and Talent Development

• Responsible for recruiting and retaining top talent within your organization.
• Work with HR and recruiting teams to develop job descriptions and identify candidates, as well as creating onboarding and training programs to help new hires get up to speed quickly.
• Develop career paths for your team members, set expectations for their growth and development, and provide regular feedback and coaching to help them achieve their goals.

Organizational Change Management

• Manage organizational change effectively, whether it involves new technologies, processes, or initiatives.
• Communicate the rationale for change, involve key stakeholders in decision-making, and manage resistance effectively.
• Develop and implement change management plans that minimize disruption and ensure that your team is able to adapt to new ways of working.

Qualifications

What Did We Order?

• A minimum of 8-10 years of professional experience in data science, including leadership roles in data science teams or consulting.
• A Ph.D. or Master's degree in a relevant field such as computer science, statistics, data science, or a related disciplines
• Proven experience in leading and managing managers and a demonstrated ability to foster a high-performance team culture.
• Must possess a deep and practical knowledge of data science, encompassing statistics, causality, experimentation, and causal inference, as well as knowledge in modeling.
• Must have a track record of applying these skills and leading teams to design and implement innovative data-driven products and deliver impactful insights and recommendations

Business Acumen:

• Proven ability to understand and navigate complex business landscapes, including familiarity with industry-specific challenges and opportunities.
• Demonstrated experience in identifying and quantifying the business impact of data-driven initiatives, such as revenue growth, cost savings, and customer retention.

Strategic Thinking:

• A strategic mindset with the ability to envision and communicate long-term data-driven goals and objectives that align with the organization's overall strategy.
• Proficiency in developing and executing data-driven roadmaps and plans that drive innovation, competitive advantage, and market growth.

Job Requisition ID:

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group's entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.

By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day

Overview Of The Role
As a Data Science Manager(Finance) at Al-Futtaim Automotive, you will lead AI and data science initiatives that optimize financial performance, strengthen risk management, and improve business decision-making. This role focuses on advanced predictive modelling, financial forecasting, and portfolio optimization to create measurable impact across the organization

What You Will Do

• Build and deploy predictive models for residual value optimization, credit risk scoring, probability of default, and F&I leasing pricing optimization.
• Standardize financial KPIs and risk dashboards using statistical process control and advanced visualization tools.
• Generate financial insights through time series analysis, portfolio optimization, survival analysis, and risk modelling.
• Collaborate with finance and risk teams to identify and prioritize high-potential data-driven use cases.
• Lead and mentor a team of data scientists, ensuring the delivery of scalable machine learning and AI models

Required Skills To Be Successful

• Advanced expertise in time series forecasting, regression, logistic regression, and random forests.
• Strong skills in survival analysis, neural networks, reinforcement learning, and genetic algorithms.
• Deep knowledge of portfolio optimization, risk modelling, and causal inference techniques.
• Proficiency in deep learning (CNNs, RNNs, LSTMs, Transformers) and advanced pattern recognition.
• Strong understanding of financial regulations and their impact on AI/ML model development.
• Excellent stakeholder management and ability to translate complex financial models into actionable insights

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. The team operates within the Finance Department, playing a critical role in enhancing financial planning, risk management, and profitability through advanced analytics

What Equips You For The Role

• Bachelor's, Master's, or PhD in Financial Analytics, Computer Science, or related field.
• 7+ years of experience in financial analytics, data science, and machine learning.
• Hands-on expertise in advanced statistics, optimization, causal and Bayesian modelling, time series forecasting, Monte Carlo simulations, graph neural networks, and recommender systems.
• Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).
• Knowledge of NLP, autoencoders, transformers, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).
• Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).
• Strong leadership, problem-solving, and communication skills to manage teams and deliver business impact.

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.

Who we are looking for

Calling AI enthusiasts with data science background Are you specialised in using Generative AI in data analysis? Then you will be just right for this role. Find out more details below.

About Digital Cluster

The Digital Cluster, part of AD Ports Group, is dedicated to leveraging advanced technologies to enhance operations and drive innovation across the organization. The cluster focuses on integrating AI, IoT, and other cutting-edge digital solutions to streamline processes, improve efficiency, and deliver superior services. By fostering partnerships with leading technology providers and continuously investing in digital infrastructure, the Digital Cluster aims to position AD Ports Group at the forefront of the digital transformation in the maritime and logistics sectors. This strategic approach ensures sustainable growth and supports the broader goal of establishing Abu Dhabi as a global leader in trade and logistics.

Job Purpose

Enable data-driven decision-making by using Artificial Intelligence and machine learning and provide meaningful insight with data to support Abu Dhabi Port Group's strategic goals. Working with the Senior Data Science Specialist, leverage expertise in data analysis, machine learning, and statistical modelling to drive actionable insights and solutions. The position would be entrusted to find the secrets hidden within data, uncovering untapped potential, and forging the path to innovation.

Role Responsibilities

• Collect, analyze, and interpret large sets of data from various sources, such as shipping logs, weather patterns, and economic indicators.
• Develop and implement advanced analytics models, such as machine learning and statistical models, to identify trends and patterns in data.
• Use data visualization techniques to present findings to key stakeholders and decision-makers.
• Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions.
• Stay up to date with the latest trends and technologies in data science and analytics.
• Implement and deploy Machine Learning algorithms for enterprise clients (this is 80% of the job)
• Actively mentor and help junior data scientists on their own projects (this is 20% of the job)
• Develop significant subject matter expertise in our core business verticals.
• Share insights with senior executives and craft related action plans with internal stakeholders.
• Use strong business acumen, as well as an ability to communicate findings, and mine vast amounts of data for useful insights.
• Sift and analyze data from multiple angles, looking for trends that highlight problems or opportunities.
• Use these insights to propose solutions and strategies to business challenges.
• Knowledge in modelling, statistics, analytics, and math's to solve problems.
• Combine models through ensemble modeling.
• Present information using data visualization techniques.
• Sharing complex ideas verbally and visually in an understandable manner with non-technical stakeholders.
• Collaborate with engineering and product development teams.
• Extract data from heterogenous data sources.
• Liaise with Systems Administrators, Management, Cloud Administrators, Network Administrators, and DBAs to schedule and implement changes.
• Support production jobs with performance tuning, metrics, and troubleshooting expertise.
• Identify, recommend, and implement process and architecture improvements to prevent issues.
• Conduct impact assessment and determine size of effort based on requirements.
• Manage connections and security credentials for data access.
• Understand up and downstream data sources and consumers.
• Contributes to technical and system architectural planning.
• Reviews Data Warehouse dimensional model
• Tests and implements new technical solutions.

People Management Responsibilities:

• Be able to lead end-to-end data science use case project lifecycle

Qualifications

• A Bachelor's degree in computer science, software engineering or related field.
• MS in Artificial Intelligence, Statistics, Computer Science, Econometrics, Operational Research, or equivalent.
• A minimum of 2 years of professional experience applying ML, ideally in a customer-facing role.
• A portfolio of projects (ideally on GitHub) is strongly preferred.
• Deep understanding of common ML techniques (regression and classification, time series analysis, supervised & unsupervised learning, and deep learning).

Required Skills

• A portfolio of projects (ideally on GitHub) is strongly preferred.
• Deep understanding of common ML techniques (regression and classification, time series analysis, supervised & unsupervised learning, and deep learning).
• Strong programming skills in Python, R, or similar languages.
• Experience in shipping, logistics, or port domains is a plus.
• Strong communication and presentation skills.
• Proven ability to work independently and in a team environment.
• Experience with Dataiku is preferred but not compulsory
• Ability to drive a project and work both independently and in a team.
• Smart, motivated can-do attitude and seeks to make a difference.
• Curiosity and willingness to learn about ADPG integrated clusters and clients.
• Strong business skills and knowledge of key industries.
• Able to work effectively with both business and technical stakeholders.
• Works independently with minimal supervision.
• Strong analytical and communication skills

A Data Science Trainer's primary responsibility is to educate aspiring data professionals in the latest tools, techniques, and methodologies in data science. Here's a breakdown of the job:*Key Responsibilities:*- *Design and Delivery*: Create and deliver engaging training sessions, both online and offline, to diverse audiences, from beginners to experienced professionals.- *Curriculum Development*: Develop curriculum and instructional materials, often collaborating with other trainers and curriculum developers.- *Assessment and Feedback*: Evaluate learner progress, provide constructive feedback, and continuously improve the training experience.- *Staying Current*: Stay updated with industry trends, tools, and best practices in data science, including machine learning, statistical analysis, and data visualization.*Required Skills and Qualifications:*- *Technical Expertise*: Strong knowledge of data science tools, programming languages like Python, R, SQL, and data visualization tools like Tableau or Power BI.- *Teaching Experience*: Prior teaching or training experience is preferred, but not always necessary.- *Communication Skills*: Excellent communication and presentation skills, with the ability to simplify complex technical concepts.- *Analytical Skills*: Strong analytical and problem-solving skills, with experience in machine learning and statistical modeling.- *Degree*: A Bachelor's or Master's degree in Data Science, Computer Science, or a related field is often required.¹*Work Environment:*- Data Science Trainers work in various settings, including educational institutions, training centers, and companies.- They may work full-time or part-time, depending on the organization and specific role.*Some notable companies hiring Data Science Trainers include:*- *Analytics Vidhya*: A platform for data science enthusiasts, offering training and resources.- *UrbanSparks Digital Institute*: A institute offering training programs in data science and AI.- *(link unavailable)*: A platform connecting professionals with job opportunities in data science and AI.² ³

Job Type: Part-time

Pay: AED4, AED4,500.00 per month