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For Companies At a Glance
- Tasks: Lead Data Science projects, develop ML/AI models, and engage with clients.
- Company: Join a fast-growing data consultancy that values culture and innovation.
- Benefits: Enjoy a competitive salary, hybrid work, 35 days holiday, and private medical care.
- Why this job: Make a real impact on high-profile projects while mentoring others in a supportive environment.
- Qualifications: Experience in ML/AI solutions, strong communication skills, and leadership abilities required.
- Other info: Opportunity to shape the future of data science in a dynamic team.
The predicted salary is between 68000 - 85000 £ per year.
Are you a passionate Data Scientist looking to take the next step in your career? Do you want to play a pivotal role in a growing, purpose-driven consultancy that places culture at the heart of everything they do? If so, this opportunity could be for you.
The Role
We are working with an ambitious and fast-growing data consultancy seeking a Lead Data Scientist to join their team. Reporting directly to the Founder, you will take full ownership of the Data Science solutions offering, with a strong focus on LLMs and cutting-edge AI/ML solutions.
What You’ll Be Doing
- Engaging directly with clients across a diverse portfolio, delivering high-impact Data Science solutions from day one.
- Taking a hands-on approach to designing, developing, and deploying ML/AI models.
- Supporting business development by identifying ML/AI opportunities with clients and participating in prospecting calls.
- Leading discovery phases, facilitating workshops, gathering requirements, and delivering strategy documents.
- Overseeing the full end-to-end lifecycle of AI/ML model development, from concept to deployment and adoption.
- Training and handing over solutions to client stakeholders for seamless integration.
- Managing and mentoring one direct report, with plans for team growth in the future.
- Driving further analytical projects and securing additional work during project delivery.
Projects You Could Work On:
- Predictive Customer Engagement: Developing ML models to forecast customer engagement likelihood following operational actions in financial services.
- LLM-Powered Recommendations: Deploying LLM solutions to optimize resolution time for an IT managed service provider.
- Optimised Forecasting & Planning: Building an AI-driven forecasting solution for a food manufacturer to enhance production accuracy and profitability.
What We’re Looking For:
- Proven experience in designing, developing, and deploying ML/AI solutions.
- Strong technical expertise in machine learning, NLP, and LLMs.
- Ability to engage with clients and lead discovery phases.
- Experience in mentoring or managing junior data scientists.
- Excellent communication skills and a consultative approach.
What’s On Offer:
- £85,000 – £100,000 salary depending on experience.
- Hybrid working model (Greater Manchester-based office).
- 35 days holiday + bank holidays.
- Private medical and dental.
- Opportunity to work on high-impact projects with an impressive client base.
- A supportive and collaborative culture with a focus on innovation and growth.
If you’re excited about the prospect of joining a growing consultancy and making a real impact, get in touch now!
Contact Detail:
Mirai Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and AI, especially focusing on LLMs. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Prepare to showcase your experience in client engagement. Think of specific examples where you've successfully led discovery phases or facilitated workshops, as this will highlight your consultative approach and ability to connect with clients.
✨Tip Number 3
Brush up on your mentoring skills. Be ready to discuss how you've supported junior data scientists in the past, as this role involves managing and mentoring a direct report, which is crucial for their growth and the team's success.
✨Tip Number 4
Research the company culture and values of the consultancy. Understanding their focus on innovation and collaboration will help you align your responses during the interview, showing that you're not just a fit for the role but also for the team.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, NLP, and LLMs. Use specific examples from your past roles that demonstrate your ability to design, develop, and deploy AI/ML solutions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the consultancy's culture. Mention how your skills align with their needs, particularly in client engagement and project leadership.
Showcase Your Projects: Include a section in your application that details specific projects you've worked on, especially those involving predictive analytics or LLM-powered solutions. Highlight the impact these projects had on previous clients or employers.
Prepare for Interviews: Anticipate questions related to your technical expertise and client engagement experience. Be ready to discuss your approach to mentoring junior data scientists and how you would lead discovery phases in projects.
How to prepare for a job interview at Mirai Talent
✨Showcase Your Technical Expertise
As a Lead Data Scientist, you'll need to demonstrate your strong technical skills in machine learning, NLP, and LLMs. Be prepared to discuss specific projects where you've designed, developed, and deployed ML/AI solutions, highlighting the challenges you faced and how you overcame them.
✨Engage with Real-World Scenarios
During the interview, expect to engage in discussions about real-world applications of data science. Prepare examples of how you've delivered high-impact solutions for clients, particularly in areas like predictive customer engagement or AI-driven forecasting.
✨Demonstrate Leadership and Mentoring Skills
Since this role involves managing and mentoring a direct report, be ready to share your experiences in leading teams or mentoring junior data scientists. Discuss your approach to fostering growth and collaboration within a team setting.
✨Prepare for Client Engagement Discussions
Given the client-facing nature of the role, practice articulating how you would lead discovery phases and facilitate workshops. Highlight your consultative approach and excellent communication skills, as these will be crucial in engaging with clients effectively.
