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- Tasks: Lead data science projects to solve complex business challenges for diverse industries.
- Company: Join a dynamic consultancy known for innovation and excellence in transformational advisory services.
- Benefits: Enjoy hybrid work, international travel opportunities, and rapid career development.
- Why this job: Be part of a passionate team delivering impactful AI solutions while collaborating with senior leaders.
- Qualifications: Degree in a quantitative field and proven experience in data science leadership required.
- Other info: Sponsorship is not available for this role.
The predicted salary is between 43200 - 72000 £ 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: JR United Kingdom
Contact Detail:
JR United Kingdom 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 people who work at management consultancies or in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your problem-solving skills through real-world examples. Prepare to discuss specific projects where you've successfully applied data science techniques to solve business challenges. Highlight your ability to deliver impactful solutions quickly, as this is crucial for the role.
✨Tip Number 3
Familiarise yourself with the latest trends in AI and machine learning, especially those relevant to the industries mentioned in the job description. Being able to discuss these trends and how they can be applied to improve client outcomes will set you apart during interviews.
✨Tip Number 4
Prepare to demonstrate your programming skills in SQL and Python. You might be asked to solve a technical problem or case study during the interview process, so practice coding challenges that involve large datasets and complex queries to ensure you're ready.
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 data science initiatives, particularly in areas like personalisation, pricing, and machine learning.
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 with cross-functional teams and your ability to deliver impactful solutions quickly, as this is crucial for the role.
Showcase Technical Skills: Clearly outline your programming and modelling skills, especially in SQL and Python. Provide examples of how you've worked with large datasets and the outcomes of your analyses to demonstrate your technical proficiency.
Highlight Stakeholder Engagement: Emphasise your experience in building relationships with stakeholders. Describe situations where you successfully gathered requirements and translated them into effective data science solutions, showcasing your consultative approach.
How to prepare for a job interview at JR United Kingdom
✨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, and be ready to explain your thought process and the impact of your work.
✨Demonstrate Problem-Solving Abilities
Since the role requires delivering impactful solutions quickly, think of specific instances where you've solved complex problems under tight deadlines. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Highlight Stakeholder Engagement
Emphasise your experience in building relationships with stakeholders. Prepare to share examples of how you've gathered requirements and collaborated with clients to develop data science solutions that meet their needs.
✨Express Your Passion for Data Science
This company values ambition and passion, so make sure to convey your enthusiasm for data science and AI. Discuss what drives you in this field and how you stay updated with the latest trends and technologies.
