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- Tasks: Shape the future of data and AI consulting with customer-centric projects.
- Company: Join a flexible and inclusive consultancy focused on innovation.
- Benefits: Negotiable salary, empowering culture, and opportunities for personal growth.
- Other info: Collaborative environment with opportunities to mentor and develop others.
- 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. 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 in London 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 in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the data science and AI space. 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 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 discussions.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Data Science & AI Consultancy - customer centric in London
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 experience to show us you’re the right fit for our team.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and AI. Share specific examples of how you've used these skills to create customer-centric solutions, and let your personality shine through!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with Generative AI or Large Language Models. We love seeing practical applications of your skills.
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 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 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 Communication Skills
Practice explaining complex data concepts in simple terms. You might be asked to present a case study or explain a project, so being able to communicate clearly and engagingly is key. Use visuals if possible to make your points more impactful.
✨Be Ready to Discuss Ethics in AI
Familiarise yourself with ethical considerations in AI and data science. Be prepared to discuss how you ensure responsible use of data in your projects. This shows that you’re not just technically skilled but also aware of the broader implications of your work.