At a Glance
- Tasks: Lead AI strategy and mentor a world-class Data Science team.
- Company: Join Dar, a global leader in innovative consulting solutions.
- Benefits: Competitive salary, continuous training, and opportunities to attend global tech events.
- Other info: Dynamic environment with excellent career growth and collaboration opportunities.
- Why this job: Shape the future of AI while empowering your team and making a real impact.
- Qualifications: Significant AI/ML experience and strong leadership skills required.
The predicted salary is between 43200 - 72000 £ per year.
Company Overview:
Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, connecting people, places, and communities through innovative solutions to the world's most complex challenges.
Our Vision and Values:
We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
- Excellence
- Responsibility
- Empowerment
- Connectivity
- Courage
Role Overview:
We are seeking a seasoned and visionary Lead, AI & Data Science to drive the strategy, development, and deployment of advanced AI solutions across our Digital Solutions department. This role is leadership and technically grounded; you will define and guide our AI roadmap, mentor a team of experts, and ensure delivery of world-class solutions. While you will not be coding daily, you must possess deep technical knowledge across the AI/ML spectrum and the ability to review, advise, and step in when critical decisions or mentorship are needed.
You will play a pivotal role in building and scaling the AI & Data Science team, shaping career paths, and representing the department in global events, partnerships, and thought leadership platforms.
Key Responsibilities:
- Strategic & Technical Leadership: Define and lead the AI & Data Science vision and roadmap, aligned with business priorities. Provide technical oversight for AI initiatives across domains:
- Generative AI & LLMs (fine-tuning, RAG pipelines, multi-agent systems).
- Predictive Analytics & Time-Series Modeling.
- Computer Vision & Multimodal AI.
- Reinforcement Learning & Optimization.
- Knowledge Engineering & Semantic Search.
- Edge AI & Real-Time AI Deployments.
- Act as the architect and reviewer of AI systems, ensuring scalability, robustness, and compliance.
- Guide the adoption of MLOps best practices (CI/CD for ML, monitoring, retraining, governance).
- Drive innovation while balancing pragmatism and production readiness.
- Mentorship & Team Development: Build and grow a world-class AI & Data Science team, including hiring, onboarding, and performance management. Mentor and coach team members to elevate technical depth and problem-solving skills. Create career development plans, learning paths, and certification opportunities for the team. Foster a culture of collaboration, experimentation, and continuous improvement.
- Collaboration & Representation: Work closely with Product Managers, Solution Architects, and Engineering Leads to embed AI across the product suite. Translate business challenges into scalable, impactful AI solutions. Represent the department in industry conferences, technical forums, and client engagements.
Required Qualifications:
- Significant experience in AI/ML, including experience in a technical leadership or team lead role.
- Strong knowledge (architectural & practical) of:
- LLMs, RAG, and AI Agents.
- Predictive analytics & time-series forecasting.
- Computer vision, multimodal learning, and geospatial AI.
- Reinforcement learning and optimization techniques.
- MLOps practices & data pipelines.
- Ability to review code, design architectures, and guide technical teams.
- Advanced degree (Master’s or PhD is a plus) in Computer Science, AI, Data Science, or related technical field.
Preferred Qualifications:
- Experience with digital twins, IoT/OT data, and smart systems.
- Familiarity with vector databases.
- Knowledge of AI ethics, explainability, and regulatory compliance.
- Experience representing organizations at global conferences and industry summits.
Career Development & Opportunities:
- Build and scale your own AI & Data Science team.
- Define career plans and growth frameworks for your team members.
- Access to continuous training, certifications, and skill development programs.
- Opportunities to attend and present at global AI/tech events.
- Collaborate with top-tier technology partners and thought leaders.
Lead AI & Data Science employer: Dar
Dar is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals passionate about AI and data science. With a commitment to employee growth, you will have access to continuous training, mentorship opportunities, and the chance to shape your own team while working on impactful projects across 60 countries. Join us in empowering communities worldwide through cutting-edge solutions and be part of a visionary organisation that values excellence and responsibility.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI & Data Science
✨Tip Number 1
Network like a pro! Attend industry events, webinars, and meetups to connect with professionals in AI and Data Science. Don’t be shy—introduce yourself and share your passion for the field!
✨Tip Number 2
Showcase your expertise! Create a portfolio of your projects or contributions in AI/ML. This could be anything from personal projects to collaborations. It’s a great way to demonstrate your skills beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and leadership questions. Be ready to discuss your vision for AI and how you can lead a team to success. Practice makes perfect!
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals who are passionate about AI and Data Science. Your next big opportunity could be just a click away!
We think you need these skills to ace Lead AI & Data Science
Some tips for your application 🫡
Show Your Passion for AI & Data Science:When writing your application, let your enthusiasm for AI and data science shine through! We want to see how your passion aligns with our vision of crafting innovative solutions. Share specific examples of projects or experiences that fuel your excitement.
Tailor Your Application:Make sure to customise your CV and cover letter to highlight the skills and experiences that are most relevant to the Lead AI & Data Science role. We love seeing how your background fits into our mission at Dar, so don’t hold back on connecting the dots!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Use bullet points where possible to make your achievements stand out and easy to read.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Dar
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI and data science. Be ready to discuss specific projects you've worked on, especially those involving LLMs, predictive analytics, or computer vision. This shows you're not just a leader but also technically savvy.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams in the past. Highlight your mentoring experiences and how you've helped team members grow. This role is about building a world-class team, so demonstrating your ability to inspire and develop others is key.
✨Align with Their Vision
Familiarise yourself with Dar's mission and values. Think about how your vision for AI aligns with their goals of empowerment and innovation. During the interview, express how you can contribute to their strategic objectives and enhance their AI roadmap.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Be ready to review hypothetical AI architectures or MLOps practices. Practising these scenarios beforehand will help you articulate your thought process clearly and confidently during the interview.
