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- Tasks: Lead data science projects to solve complex business challenges for various industries.
- Company: Join a disruptive global management consultancy known for excellence and innovation.
- Benefits: Enjoy a competitive salary, bonuses, hybrid work, and opportunities for international travel.
- Why this job: Be part of a passionate team driving impactful AI solutions in a fast-paced environment.
- Qualifications: Degree in a quantitative field and proven experience in leading data science projects required.
- Other info: Management consultancy experience preferred; sponsorship not available for this role.
The predicted salary is between 78000 - 108000 £ per year.
We are partnered with a disruptive, highly agile, management consultancy firm, specializing in transformational advisory services to hire a number of Data Science and AI experts. With a global presence and a reputation for excellence, they partner with clients to solve complex business challenges and achieve sustainable growth, at pace.
Ambition and passion for your craft are valued very highly here. Career development is clear, rapid and achievable, and international travel is available.
As a Lead Data Science Consultant, you will employ a wide range of data science techniques to support clients' strategic business aims, across a range of industries including Retail, Travel, Financial Services, Telecommunications and Technology. Typical projects include data science for performance improvement, customer engagement and pricing effectiveness, network optimisation, and machine learning to drive improved operations, including supply chain and procurement.
I’m seeking Lead Data Science experts who not only bring experience from classic management consultancy, but also brand side, in order to provide an empathetic approach to solving business problems, using advanced data and AI solutions. You will form an integral part of this growing team collaborating closely with other cross-functional teams to deliver innovative machine learning and AI solutions.
You will flex strong problem-solving skills leveraging data science skills, directly with clients’ senior leadership teams looking to achieve results FAST, therefore you need to be skilled in, and comfortable with, delivering the most impactful solution (even if not perfect) in short sprints.
Skills & experience required:
- Educated to at least degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc.
- Proven experience in leading data science projects across a range of areas required, such as personalisation, pricing, forecasting, GenAI, NLP, classification and regression.
- Strong programming and modelling skills using SQL and Python required, working with large volumes of complex data.
- Expert in building and leveraging stakeholder relationships, in order to understand requirements and in turn build meaningful and impactful data science and AI solutions.
- Management consultancy experience is strongly preferred, although similar industry side, consultative experience will be considered.
NOTE: Sponsorship is not available for this role.
Lead Data Science Consultant employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Science Consultant
✨Tip Number 1
Network with professionals in the data science and consultancy fields. Attend industry events, webinars, or meetups to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 2
Showcase your problem-solving skills by preparing case studies or examples from your previous work. Be ready to discuss how you approached complex data challenges and the impact of your solutions during interviews.
✨Tip Number 3
Familiarise yourself with the latest trends in data science and AI, particularly in sectors relevant to the consultancy. Being able to discuss current innovations and their applications will demonstrate your passion and expertise.
✨Tip Number 4
Prepare to articulate your experience in leading data science projects effectively. Highlight your ability to collaborate with cross-functional teams and deliver impactful solutions quickly, as this aligns with the fast-paced environment of the role.
We think you need these skills to ace Lead Data Science Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and management consultancy. Focus on specific projects where you've led initiatives, particularly those involving machine learning and AI solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it aligns with the company's mission. Mention your experience in delivering impactful solutions and your ability to work with senior leadership teams.
Showcase Your Skills: Clearly outline your technical skills, especially in SQL and Python, and provide examples of how you've used these skills in past projects. Highlight your problem-solving abilities and experience with complex data.
Demonstrate Industry Knowledge: Research the industries mentioned in the job description, such as Retail and Financial Services. Be prepared to discuss how your experience can address specific challenges faced by clients in these sectors.
How to prepare for a job interview at Omnis Partners
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Bring examples of past projects where you applied machine learning techniques, especially in areas like personalisation or forecasting. This will demonstrate your technical proficiency and ability to handle complex data.
✨Understand the Business Context
Research the consultancy's recent projects and clients. Be ready to discuss how your data science skills can solve specific business challenges they face. This shows that you not only have the technical know-how but also understand how to apply it in a real-world context.
✨Emphasise Collaboration
Highlight your experience working with cross-functional teams. Discuss how you've successfully collaborated with stakeholders to deliver impactful solutions. This is crucial as the role involves working closely with clients' senior leadership teams.
✨Demonstrate Problem-Solving Agility
Prepare to talk about instances where you've delivered solutions quickly, even if they weren't perfect. The consultancy values speed and impact, so sharing examples of how you've tackled problems efficiently will resonate well with the interviewers.
