At a Glance
- Tasks: Design and deliver innovative AI and data science solutions for top clients.
- Company: Leading Data Science & AI consultancy with a collaborative culture.
- Benefits: Competitive salary, hybrid work model, and career growth opportunities.
- Other info: Work on cutting-edge projects in a supportive and inclusive environment.
- Why this job: Join a fast-growing team and make a real impact in customer experience.
- Qualifications: Experience in data science, machine learning, and strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
We're working with a leading Data Science & AI consultancy that's helping some of the world's best-known organisations unlock the value of data and artificial intelligence to create exceptional customer experiences.
With opportunities available at Consultant, Senior Consultant and Managing Consultant level, this is an exciting opportunity to join a collaborative, innovative and fast-growing team delivering cutting-edge AI, machine learning and data science solutions across a broad range of industries.
You'll work alongside talented consultants, data scientists and AI specialists, solving complex business challenges while helping clients turn data into meaningful commercial outcomes.
What You'll Be Doing
- Designing, building and evaluating Machine Learning, Generative AI and Large Language Model (LLM) solutions
- Delivering AI and data science projects from discovery and proof of concept through to production
- Applying advanced analytics to solve customer, marketing, digital and commercial challenges
- Working closely with clients and cross-functional teams to understand business problems and deliver impactful solutions
- Presenting insights and recommendations to technical and non-technical stakeholders
- Mentoring junior consultants and leading project workstreams (Senior/Managing Consultant level)
What We're Looking For
- Commercial experience in completing end to end projects in Data Science, Machine Learning and AI
- Hands-on experience developing or evaluating Generative AI and Large Language Models (LLMs)
- Customer analytics, marketing analytics, web analytics, product analytics or commercial analytics experience
- Strong Python programming skills
- Experience with cloud platforms for Data Science and Machine Learning
- Knowledge of Power BI, Tableau or other data visualisation tools
- Understanding of ethical AI principles and responsible AI development
- Strong communication and stakeholder management skills
- A collaborative approach with a passion for solving complex business problems
- Project leadership and people management experience for Senior and Managing Consultant positions
Desirable Experience
Experience within any of the following sectors would be advantageous, although by no means essential:
- Consumer Products & Retail
- Energy
- Utilities
- Telecommunications
- Public Sector
Why Apply?
This consultancy offers a genuinely collaborative and inclusive culture where you'll have the opportunity to work on some of the latest developments in AI, machine learning and customer analytics. Whether you're looking to deepen your expertise in Generative AI, work with leading clients, or take the next step into consulting leadership, you'll be supported to grow your career while delivering meaningful, real-world impact.
If you're passionate about using Data Science and AI to create smarter, more human customer experiences, we'd love to hear from you. Apply today or get in touch for a confidential discussion.
Senior Consultant- Data Science & AI- customer centric employer: Datatech Analytics
Join a leading Data Science & AI consultancy in London, where innovation meets collaboration. With a focus on customer-centric solutions, you'll benefit from a supportive work culture that encourages professional growth and offers opportunities to work on cutting-edge projects. Enjoy a competitive salary, hybrid working arrangements, and the chance to make a meaningful impact in the world of AI and data science.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Consultant- Data Science & AI- customer centric
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Datatech Analytics!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Consultant- Data Science & AI- customer centric at Datatech Analytics.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Datatech Analytics.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Consultant- Data Science & AI- customer centric at Datatech Analytics, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Consultant- Data Science & AI- customer centric
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Datatech Analytics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Datatech Analytics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Datatech Analytics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Datatech Analytics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
