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- Tasks: Lead advanced analytics and AI initiatives, driving strategy and delivering impactful solutions.
- Company: Join a pioneering tech firm at the forefront of AI and data science.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of AI with cutting-edge technologies and make a real difference.
- Qualifications: 10+ years in data science, expertise in Big Data, AI, and cloud technologies.
- Other info: Dynamic role with mentorship opportunities and a collaborative team environment.
The predicted salary is between 72000 - 108000 £ per year.
We are seeking a highly accomplished and results-oriented Senior Data Scientist Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge specialized AI domains, including Generative AI, Computer Vision, and Natural Language Processing (NLP).
You will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes.
Key Responsibilities- AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs), and specialized models in Computer Vision and NLP.
- Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training and inference.
- Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency.
- Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models in key specialized areas:
- Computer Vision: Developing and optimizing models for image recognition, object detection, and video analytics.
- NLP: Building sophisticated systems for sentiment analysis, entity extraction, semantic search, and RAG architectures leveraging LLMs.
- Generative AI: Exploring and implementing cutting-edge GenAI techniques for content creation, data augmentation, and innovative product features.
- Big Data and Cloud Mastery
- Programming & Big Data: 10+ years of extensive, hands-on experience with Apache Spark, with strong preference for production development using Scala. Deep expertise with Apache Hive for data querying and management.
- Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery).
- Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context.
- Generative AI (GenAI) & LLMs: Proven experience with the architecture and implementation of Generative AI solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs).
- Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO).
- NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation, and building complex text-based applications.
- Technical Leadership: Proven track record of leading complex data science projects from research to production deployment.
- Communication: Exceptional ability to translate complex technical findings into clear, strategic recommendations for technical and executive audiences.
- Mentorship: Experience mentoring and training senior engineers and data scientists.
Master’s or Ph.D. in Computer Science, Data Science, Engineering, or a highly quantitative field. Relevant professional cloud certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer) are highly desirable.
Senior Data Scientist SME & AI Architect in Sheffield employer: Information Tech Consultants
Contact Detail:
Information Tech Consultants Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist SME & AI Architect in Sheffield
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and data science. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in this role. We want to see how you can lead and mentor others!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist SME & AI Architect in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your expertise in Big Data technologies, AI, and cloud platforms to show us you’re the perfect fit for this role.
Craft a Compelling Cover Letter: Use your cover letter to tell us your story! Explain how your 10+ years of experience align with our needs, especially in areas like Generative AI and NLP. This is your chance to showcase your passion for data science and AI.
Showcase Your Projects: Include examples of your past projects that demonstrate your technical mastery and leadership skills. We love seeing real-world applications of your work, especially in complex AI systems and multi-cloud environments.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Information Tech Consultants
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Apache Spark and cloud platforms. Brush up on your knowledge of Generative AI, Computer Vision, and NLP, as these will likely come up during technical discussions.
✨Prepare Real-World Examples
Think of concrete examples from your past experience that showcase your expertise in leading data science projects. Be ready to discuss how you’ve tackled challenges in Big Data engineering or implemented AI solutions that had a significant impact on business outcomes.
✨Showcase Your Leadership Skills
Since this role involves mentoring and leading teams, be prepared to talk about your leadership style. Share instances where you’ve guided junior team members or influenced project direction, highlighting your ability to communicate complex ideas clearly.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI initiatives and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it’s a great way to demonstrate your strategic thinking.