The company is a leading global provider of digital platform engineering and software development services. Founded in 1993 and headquartered in Newtown, Pennsylvania, the company has been helping clients navigate digital transformation for over 30 years, delivering innovative solutions to stay competitive in constantly evolving markets.
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We are looking for an experienced Principal (Director) Data Science Consultant Practice Lead with a strong focus on Gen AI applications across industries. In this role, you will design, deploy, and optimize AI-driven solutions, helping organizations unlock new opportunities and navigate the evolving AI landscape. The role offers exciting opportunities to play a highly visible role in partnership with the wider European data leadership teams to drive growth in the region.
Responsibilities:
- Provide technical leadership and strategic direction expertise with clients across industries to define and execute Gen AI strategies that align with their business goals.
- Design and implement innovative AI-driven products, including customer personalization tools, demand forecasting systems, dynamic pricing solutions, and operational automation.
- Lead the development, deployment, and monitoring of Gen AI/ML models with a strong focus on MLOps, operational scalability, and model lifecycle management.
- Leverage Gen AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to solve industry-specific challenges such as supply chain optimization, risk assessment, predictive maintenance, and enhanced customer engagement.
- Communicate AI strategies, opportunities, and risks effectively with senior executives and cross-functional teams.
- Ensure AI solutions are fair, explainable, and aligned with responsible AI practices.
- Work closely with legal and compliance teams to navigate industry regulations.
- Stay ahead of industry trends, emerging Gen AI technologies, and evolving regulatory landscapes.
- Contribute to pre-sales activities, including client presentations, product demos, and responses to RFPs/RFIs.
Requirements:
- Bachelor's or Master's or PhD in Computer Science, Data Science, Statistics, or a related field, or extensive relevant work experience.
- Valid SCE (Saudi Council of Engineers) certificate (or eligibility to obtain).
- Extensive experience in data science leadership roles with demonstrable impact across various industries; experience in IT consulting is highly desirable.
- Expertise in Gen AI, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced AI applications.
- Strong understanding of AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, and Streamlit.
- Proficiency in Python and experience with frameworks like Airflow, Plotly Dash, or similar tools.
- Proven track record of implementing responsible AI practices, addressing bias, and ensuring model explainability.
- Strong communication skills with the ability to translate complex AI concepts into actionable insights for senior business leaders.
- Familiarity with AI regulatory frameworks.
- Experience in pre-sales or supporting sales teams.
Benefits:
- General Organization for Social Insurance (GOSI)
- Private healthcare and life insurance
- End of service gratuity
- Annual air travel tickets for expatriates
- Corporate Programs including Employee Referral Program with rewards
- Learning and development opportunities including in-house training and coaching, professional certifications, and access to over 22,000 courses on various platforms.
Nature of Work and Working Hours:
The usual working hours for full-time roles at the company in Saudi Arabia are from 9:00 AM to 6:00 PM, including a one-hour unpaid lunch break. Working hours may vary based on client requirements, and flexibility is accommodated whenever possible.
How to Apply:
If you meet the requirements and are eager to join the company, submit your application online by providing your up-to-date CV and/or LinkedIn profile along with any optional materials such as cover letters or portfolios. Following your application, you will have a conversation with our Talent Acquisition team, followed by a technical interview and an interview with the hiring manager. A client interview may also be included in some cases. Successful candidates will receive an offer and, upon acceptance, will officially become part of our team. Join the company today and contribute to shaping the future of technology while growing your career in a supportive, global work environment.
