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- Tasks: Shape the future of data and AI consulting with customer-centric projects.
- Company: Dynamic consultancy focused on empowering data-driven experiences.
- Benefits: Negotiable salary, flexible culture, and opportunities for personal impact.
- Other info: Collaborative environment with excellent growth potential.
- Why this job: Lead change in data and AI to create smarter, human experiences.
- Qualifications: Experience in data science, AI, and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Exciting opportunities at Consultant, Senior Consultant and Managing Consultant level that will help shape the future of data and AI consulting. Supporting customer-centric enterprises to unlock the value and power of data and AI - through the lens of customer experience.
A culture that is open, flexible, inclusive, and engaging. Working here gives you the opportunity to be empowered and make your mark on every project. If you're passionate about using data and AI to create smarter, more human experiences, this is your opportunity to lead change and make a difference.
They are hiring highly skilled Data Science Consultants with hands-on experience, ideally including end to end Generative AI (Gen AI) and/or Large Language Models (LLM) development and evaluation. Additionally, candidates should have strong project management and people management skills for higher level roles.
In summary they are looking for:
- Data Science & AI Expert - Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models.
- CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience.
- Sector Experience - Consumer Products, Retail, Energy, Utilities, Telecommunications or Public Sector would be useful but not essential.
- Programming Experience - Skilled in using programming languages such as Python.
- Cloud Expertise - Knowledge of cloud platforms and tools for data science and machine learning.
- Data Visualisation Experience - Utilise visualisation tools such as Power BI or Tableau to present data insights effectively.
- Ethics - Familiarity with ethical considerations and best practices in AI and data science.
- Collaborative team player - Collaborate with cross-functional teams to understand business challenges and create valuable products/solutions.
- People Manager - People management skills, including mentoring, guiding, and developing junior team members.
- Excellent Communicator - Ability to communicate complex ideas clearly, with excellent written and oral presentation skills, that engages internal and external audiences.
- Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space.
If this sounds like you, please do get in touch for a confidential discussion to find out more.
Data Science & AI Consultancy - customer centric employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science & AI Consultancy - customer centric
✨Network Like a Pro
Get out there and connect with people in the data science and AI space! Attend meetups, webinars, or industry events. The more you engage with others, the better your chances of landing that dream job.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Generative AI and Large Language Models. Share your work on platforms like GitHub or personal websites to demonstrate your expertise and passion.
✨Ace the Interview
Prepare for interviews by practising common questions related to data science and customer experience. Be ready to discuss your hands-on experience and how you've tackled real-world problems using data and AI.
✨Apply Through Us!
Don't forget to apply through our website! We’re here to help you find the right fit and make your mark in the data and AI consultancy world. Let’s get you started on this exciting journey!
We think you need these skills to ace Data Science & AI Consultancy - customer centric
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in data science, AI, and customer experience to show us you're the perfect fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and AI, and how you can contribute to creating smarter, more human experiences for our customers.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Share specific examples of your work with Generative AI or Large Language Models, and how they’ve made an impact. We love seeing real-world applications!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Datatech
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of Generative AI and Large Language Models. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your hands-on experience and expertise in the field.
✨Showcase Your Customer-Centric Approach
Since the role focuses on customer experience, prepare examples that highlight how you've used data to enhance customer interactions. Think about times when your insights led to improved customer satisfaction or engagement.
✨Demonstrate Your Team Spirit
This company values collaboration, so be prepared to talk about your experience working in cross-functional teams. Share stories that illustrate your ability to mentor others and how you’ve contributed to a positive team environment.
✨Communicate Clearly and Confidently
Practice explaining complex data concepts in simple terms. You might be asked to present your ideas or findings, so being able to communicate effectively is key. Use visualisation tools like Power BI or Tableau to support your points if possible.