AI & Data Scientist Senior Consultant

Ziphire.hr; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading tech consulting firm in the UAE is looking for an experienced AI & Data Scientist Sr. Consultant. You will help clients leverage AI and data analytics to drive innovation. Key responsibilities include developing AI strategies, implementing machine learning models, and ensuring ethical AI practices. Candidates should have 12-15 years of experience in relevant fields, excellent programming skills, and a strong analytical background. This role offers an exciting opportunity to lead impactful projects in a dynamic environment.

Qualifications

• 12 to 15 years of experience in AI, machine learning, or data science.
• Strong programming skills in Python or R.
• Proficient in data manipulation and visualization tools.

Responsibilities

• Engage with clients to identify AI-driven solutions.
• Develop AI strategies and roadmaps tailored to client needs.
• Implement machine learning models and analytics tools.

Skills

Programming in Python

Machine Learning

Data Analysis

Statistical Analysis

Data Visualization

Communication Skills

Problem-Solving

Education

Bachelor's degree in Computer Science, AI, or related field

Master's or PhD

Tools

TensorFlow

PyTorch

Pandas

NumPy

Matplotlib

Job description

We are seeking a talented and experienced AI & Data Scientist Sr. Consultant to join our team. As an AI & Data Scientist Consultant, you will play a pivotal role in helping clients harness the power of artificial intelligence and data analytics to drive innovation and business growth. You will work closely with clients to understand their unique challenges and objectives, and design customized AI and data-driven solutions to address their needs.

Responsibilities

Client Engagement:

• Collaborate POD With clients to identify business challenges and opportunities for AI and data-driven solutions.
• Conduct comprehensive assessments of clients' data infrastructure, processes, and technology capabilities.

Solution Design & Strategic Directions:

• Develop AI and data strategies and future roadmaps tailored to client needs and goals.
• Design and implement machine learning models, data analytics tools, and AI algorithms to solve complex business problems.

Data Analysis and Modeling:

• Clean, preprocess, and analyze large datasets to uncover trends, patterns, and insights.
• Create predictive models, statistical analyses, and data visualizations to support client decision-making.

AI Implementation:

• Oversee the end-to-end implementation of AI and data projects, including model deployment, integration, and optimization.
• Work closely with cross-functional teams, including data engineers and software developers, to ensure seamless project delivery.髌

Performance Monitoring and Optimization:

• Continuously monitor the performance of AI models and data-driven solutions.
• Identify areas for improvement and implement optimizations to enhance model accuracy and efficiency.

Reporting and Documentation:

• Prepare detailed reports and presentations to communicate findings, recommendations, and project progress to clients and stakeholders.
• Maintain comprehensive documentation of AI models, data processes, and project deliverables.

Thought Leadership and Research:

• Stay up-to-date with the latest trends and advancements in AI and data science.
Share knowledge and expertise through articles, presentations, and workshops.

Ethical AI Practices:

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Ensure ethical and responsible use of AI and data-driven solutions, including addressing bias, fairness, and privacy concerns quoted.

Guide clients in implementing ethical AI policies and practices.

Requirements

• Bachelor's degree in Computer Science, AI, Data Science, Engineering, or a related field; Master's or PhD is preferred.
• Proven experience (12 to 15 years) in AI, machine learning, data science, or related fields.
• Strong programming skills in languagesLon such as Python or R,, and experience with AI frameworks (e.g., TensorFlow, PyTorch...) and data analysis libraries.
• Proficiency in data manipulation and visualization tools such as pandas, NumPy, and matplotlib....
• Excellent analytical and problem-solving skills, with a strong attention to detail.
• Strong communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences.
• Familiarity with data privacy regulations and ethical considerations in AI is a plus.