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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 a focus on innovation and career growth.
- Why this job: Lead change in data and AI to create smarter, human experiences.
- Qualifications: Experience in data science, AI, and strong project management skills.
The predicted salary is between 50000 - 65000 £ 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.
- 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 Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science & AI Consultancy - customer centric
✨Tip Number 1
Network like a pro! Get out there and connect with people in the data science and AI field. Attend meetups, webinars, or industry events to meet potential employers and showcase your passion for customer-centric solutions.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your hands-on experience with Generative AI and Large Language Models. Use real-world examples to demonstrate how you've tackled customer behaviour analytics and improved customer experiences.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data science concepts in simple terms, so you can engage with both technical and non-technical audiences during your interviews.
✨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 and passionate about making a difference in the data and AI space.
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 align with the job description. Highlight your expertise in data science, AI, and customer-centric projects to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and AI, and explain how you can contribute to creating smarter, more human experiences. Keep it engaging and personal.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with Generative AI, LLMs, or any customer behaviour analytics. We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our team!
How to prepare for a job interview at Datatech Analytics
✨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 passion for 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 engage your audience with clear communication is key. Use visualisation tools like Power BI or Tableau to support your points if possible.