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- Tasks: Lead a team in advanced analytics to optimise customer journeys and operational efficiencies.
- Company: Join a boutique consultancy known for driving growth through data-driven insights.
- Benefits: Enjoy a hybrid work model, competitive salary, and performance bonuses.
- Why this job: Be at the forefront of data science, influencing major business decisions and fostering innovation.
- Qualifications: Degree in a quantitative field and extensive experience in advanced analytics required.
- Other info: Ideal for those with strong programming skills and a passion for team collaboration.
The predicted salary is between 115000 - 130000 £ per year.
Location: London (Hybrid)
Salary: £115-130K + Bonus
Are you a visionary leader in data science, passionate about driving top-line growth through data-driven insights? As a Senior Manager in the Data Science team at this boutique consultancy, you will play a pivotal role in helping clients optimize their customer journeys and improve operational efficiencies. You’ll work with cutting-edge technologies to lead advanced analytics initiatives across industries and collaborate with cross-functional teams to solve complex business problems.
What you’ll be doing:
- Leadership & Strategy: Lead and grow the Advanced Analytics team, comprising data scientists, analysts, and engineers, fostering a culture of excellence and innovation. Develop and execute a clear analytics strategy aligned with company objectives, with a primary focus on customer journey optimization. Advocate for data-driven decision-making, driving data literacy at all levels of the organization.
- Analytics & Insights: Oversee the design, development, and deployment of sophisticated analytics models to uncover deep insights into pricing, customer behaviour, and business dynamics. Implement advanced machine learning and statistical techniques to predict trends and optimize operational efficiencies. Provide actionable insights and strategic recommendations to senior stakeholders.
- Collaboration & Influence: Collaborate with teams across industries to embed analytics solutions into all facets of the business. Support client IT teams in embedding scalable data architecture and data warehousing solutions. Serve as a trusted advisor to clients, ensuring successful deployment and integration of advanced analytics initiatives.
- Performance & Reporting: Monitor key performance indicators (KPIs) to measure the impact of analytics efforts. Continuously evaluate the effectiveness of tools, methodologies, and data models, recommending improvements to enhance performance.
What you bring to the table:
- A degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Data Science, etc.), or equivalent experience.
- Extensive experience in advanced analytics, with a commercial or consulting background.
- Strong programming skills in Python and experience with developing ML/statistical models, particularly in pricing (e.g., price elasticity, revenue management, dynamic pricing).
- Experience with data visualization tools (e.g., Tableau, PowerBI) and data management platforms (e.g., SQL, Snowflake, Databricks).
- A passion for building high-performing teams and creating a collaborative, data-driven culture.
- Excellent written and verbal communication skills, with the ability to simplify complex topics for non-technical audiences.
- An entrepreneurial mindset, ready to take on new challenges and grow within a fast-paced, expanding team.
Data Science - Management Consultant employer: Xpertise Recruitment
Contact Detail:
Xpertise Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science - Management Consultant
✨Tip Number 1
Network with professionals in the data science and consulting fields. Attend industry events, webinars, or meetups to connect with potential colleagues and clients. Building relationships can often lead to job opportunities that aren't advertised.
✨Tip Number 2
Showcase your leadership skills by sharing examples of how you've successfully managed teams or projects in the past. Highlight any experience you have in fostering a culture of innovation and excellence, as this is crucial for the role.
✨Tip Number 3
Stay updated on the latest trends and technologies in data science and analytics. Familiarise yourself with advanced machine learning techniques and tools like Python, SQL, and data visualisation platforms, as these are essential for the position.
✨Tip Number 4
Prepare to discuss specific case studies where you've implemented data-driven strategies that led to measurable business outcomes. Being able to articulate your impact will demonstrate your value to potential employers.
We think you need these skills to ace Data Science - Management Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and consulting. Emphasise your leadership roles, advanced analytics projects, and any specific programming skills, particularly in Python and machine learning.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven insights and how you can contribute to the company's goals. Mention specific examples of past successes in leading analytics teams or projects that align with the job description.
Showcase Your Technical Skills: Include a section in your application that details your technical proficiencies, especially in programming languages like Python, and tools such as Tableau or SQL. This will demonstrate your capability to handle the responsibilities outlined in the job description.
Prepare for Potential Questions: Anticipate questions related to your experience with advanced analytics and team leadership. Be ready to discuss specific projects where you implemented machine learning techniques or improved operational efficiencies, as these are key aspects of the role.
How to prepare for a job interview at Xpertise Recruitment
✨Showcase Your Leadership Skills
As a Senior Consulting Manager, you'll need to demonstrate your ability to lead and grow teams. Prepare examples of how you've successfully managed teams in the past, focusing on fostering a culture of excellence and innovation.
✨Highlight Your Technical Expertise
Make sure to discuss your programming skills in Python and your experience with machine learning models. Be ready to explain complex concepts in a way that non-technical stakeholders can understand, as this will be crucial in your role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of specific scenarios where you've implemented analytics solutions or optimised customer journeys, and be prepared to discuss the outcomes and insights gained.
✨Demonstrate Your Passion for Data-Driven Decision Making
Express your enthusiasm for advocating data literacy within an organisation. Share examples of how you've influenced others to embrace data-driven strategies and the impact it had on business outcomes.
