At a Glance
- Tasks: Lead complex Data Science & AI projects and manage multidisciplinary teams.
- Company: Dynamic consulting firm focused on innovative data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting opportunity for career advancement in a collaborative environment.
- Why this job: Make a real impact by turning data into business value with cutting-edge AI technologies.
- Qualifications: 7 years' experience in Data, AI, and strong leadership skills required.
The predicted salary is between 76500 - 93500 £ per year.
Are you an experienced Data & AI consultant who combines strong technical credibility with strategic leadership, project delivery and client relationship management? We're looking for a Managing Consultant with circa 7 years' relevant experience to lead complex Data Science & AI engagements, manage multidisciplinary teams and deliver innovative solutions that turn data and emerging AI technologies into measurable business value.
This is a predominantly delivery and leadership-focused role, with approximately 75% of your time dedicated to team leadership, project delivery and stakeholder management, and the remaining 25% focused on business development, account growth and identifying new opportunities within existing clients.
You'll need to be technically confident and credible, but equally comfortable stepping back from the detail to provide strategic direction, develop teams, influence senior stakeholders and contribute to commercial growth.
What we're looking for:
- Circa 7 years' relevant experience across Data, AI, analytics or consulting.
- Strong hands-on experience with Generative AI, LLMs and Machine Learning.
- Technical confidence in Python and modern data/AI technologies.
- Experience across customer, marketing, commercial, web or product analytics.
- Strong understanding of CX, customer data and digital analytics.
- Experience leading AI/ML POCs, MVPs and production-grade solutions.
- Proven experience in project, programme and delivery management, leading multidisciplinary teams and managing competing priorities.
- Strong stakeholder management skills, with the ability to build trusted relationships and influence senior client stakeholders.
- Experience developing people, managing teams and ensuring successful project delivery.
- Commercial awareness and experience across RFPs/RFIs, SOWs, costing and client negotiations.
- Experience in business development, account growth and identifying new opportunities within existing client relationships.
- Excellent communication, presentation and data storytelling skills.
- A strong interest in emerging developments across AI, ML, GenAI and Agentic AI.
Experience across Consumer & Retail, Energy & Utilities, Telecommunications or Public Sector would be a bonus.
What makes this role different?
The role has a clear balance of responsibilities:
- 75% Leadership, Delivery & Client Management: Lead project teams, manage complex engagements, oversee delivery, develop people and build strong relationships with senior stakeholders.
- 25% Business Development & Account Growth: Identify opportunities within existing accounts, strengthen client relationships, support new business proposals and help grow the consulting practice.
We're looking for someone who can operate confidently across three levels:
- Technical: credible enough to understand, challenge and guide technical solutions and teams.
- Strategic: able to shape engagement direction, translate business challenges into Data & AI strategies and identify opportunities for innovation.
- Leadership & Commercial: able to lead multidisciplinary teams, manage senior stakeholders, develop talent and contribute to account growth.
If you're an experienced Data & AI professional looking for a role where you can combine technical depth, consulting leadership, client delivery and commercial development, we'd love to hear from you.
Interested, or know someone who could be a great fit? Get in touch or apply today!
Managing Consultant - Data Science & AI in London employer: Datatech Analytics
Datatech Analytics is an exceptional employer located in the vibrant City of London, offering a dynamic work culture that fosters collaboration and innovation. As a Trading Operations Graduate Analyst, you will benefit from comprehensive training and mentorship, ensuring your professional growth while working alongside industry experts in a fast-paced environment. With a commitment to employee well-being and a focus on meaningful contributions to global trading operations, Datatech Analytics provides a rewarding career path for ambitious graduates.
StudySmarter Expert Advice🤫
We think this is how you could land Managing Consultant - Data Science & AI in London
✨Get Involved in Data Science Meetups
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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.
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We think you need these skills to ace Managing Consultant - Data Science & AI in London
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.
