At a Glance
- Tasks: Lead business development, oversee projects, and build a high-performing team.
- Company: Join a dynamic consulting firm focused on data and AI solutions.
- Benefits: Enjoy competitive salary, flexible working options, and professional growth opportunities.
- Why this job: Be part of an innovative team making a real impact in the data science field.
- Qualifications: Proven leadership experience in data and AI consulting is essential.
- Other info: This role offers a chance to shape the future of data-driven solutions.
The predicted salary is between 64000 - 96000 £ per year.
I am interested in speaking with data and AI consultants for my consulting client.
Key Responsibilities:
- Business Development: Drive revenue growth, lead sales efforts, and develop new business opportunities.
- Solution Delivery: Oversee consulting engagements, manage teams, and ensure high-quality project delivery.
- Team Building: Hire and grow the team that underpins the offering - must have leadership experience.
Lead Consultant - Data Science employer: 83zero
Contact Detail:
83zero Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Consultant - Data Science
✨Tip Number 1
Network with professionals in the data science and AI fields. Attend industry events, webinars, or meetups to connect with potential colleagues and clients. Building relationships can lead to valuable insights and opportunities.
✨Tip Number 2
Showcase your leadership experience by sharing specific examples of how you've successfully managed teams and projects. Highlighting your ability to drive results will resonate well with hiring managers looking for a Lead Consultant.
✨Tip Number 3
Stay updated on the latest trends in data visualisation, analytics, and engineering. Being knowledgeable about current tools and methodologies will demonstrate your expertise and commitment to the field during discussions.
✨Tip Number 4
Prepare to discuss your business development strategies. Think about how you can contribute to revenue growth and new business opportunities, as this is a key responsibility for the role. Be ready to share your ideas and past successes.
We think you need these skills to ace Lead Consultant - Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, AI consulting, and team leadership. Use specific examples of past projects that demonstrate your ability to drive revenue growth and deliver high-quality solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background in data visualisation, analytics, and engineering aligns with the key responsibilities outlined in the job description.
Showcase Leadership Experience: Since the role requires team building and leadership, include specific instances where you have successfully managed teams or projects. Highlight your approach to hiring and developing talent within your teams.
Highlight Business Development Skills: Emphasise your experience in business development and sales efforts. Provide examples of how you have identified new business opportunities and contributed to revenue growth in previous roles.
How to prepare for a job interview at 83zero
✨Showcase Your Business Development Skills
Be prepared to discuss your previous experiences in driving revenue growth and leading sales efforts. Highlight specific examples where you successfully developed new business opportunities, as this is a key responsibility for the role.
✨Demonstrate Solution Delivery Expertise
Make sure to illustrate your experience in overseeing consulting engagements. Discuss how you've managed teams and ensured high-quality project delivery, as this will be crucial for the position.
✨Highlight Leadership Experience
Since team building is a significant part of the role, come ready to talk about your leadership style and experiences. Share examples of how you've hired and grown teams in the past, focusing on your approach to mentoring and developing talent.
✨Prepare for Technical Questions
As a Lead Consultant in Data Science, expect technical questions related to data visualisation, analytics, and engineering. Brush up on the latest tools and methodologies in these areas to demonstrate your expertise and confidence.