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- Tasks: Lead a team of data scientists to drive analytics initiatives and optimize customer journeys.
- Company: Join a boutique consultancy focused on innovative data-driven solutions.
- Benefits: Enjoy a hybrid work environment with competitive salary and bonus opportunities.
- Why this job: Be at the forefront of data science, influencing major business decisions and driving growth.
- 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 leadership.
The predicted salary is between 72000 - 108000 £ per year.
Job Title: Senior Consulting Manager – Data Science – GenAI Location: London (Hybrid) Salary: £(Apply online only)K + 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. #J-18808-Ljbffr
Senior Consulting Manager - Data Science employer: CV-Library
Contact Detail:
CV-Library Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consulting Manager - Data Science
✨Tip Number 1
Showcase your leadership skills by sharing specific examples of how you've successfully led teams in the past. Highlight any initiatives where you fostered a culture of innovation and excellence, as this aligns perfectly with what we're looking for.
✨Tip Number 2
Demonstrate your expertise in advanced analytics by discussing your experience with machine learning and statistical models. Be prepared to talk about specific projects where you've implemented these techniques to drive business insights.
✨Tip Number 3
Emphasize your collaborative approach by providing examples of how you've worked with cross-functional teams. We value candidates who can effectively communicate complex data concepts to non-technical stakeholders.
✨Tip Number 4
Highlight your entrepreneurial mindset by discussing any challenges you've faced in previous roles and how you overcame them. This will show us that you're ready to take on new challenges and thrive in a fast-paced environment.
We think you need these skills to ace Senior Consulting Manager - Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in advanced analytics and data science. Emphasize your leadership roles, programming skills in Python, and any relevant projects that showcase your ability to drive data-driven insights.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how you can contribute to the company's goals. Mention specific examples of how you've led teams or implemented analytics strategies that resulted in measurable business improvements.
Showcase Your Technical Skills: Clearly outline your technical expertise in machine learning, statistical modeling, and data visualization tools. Provide examples of how you've used these skills to solve complex business problems or optimize customer journeys.
Prepare for Behavioral Questions: Anticipate questions about your leadership style and how you foster a collaborative, data-driven culture. Be ready to discuss your approach to mentoring team members and driving innovation within your team.
How to prepare for a job interview at CV-Library
✨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
Be ready to discuss your experience with advanced analytics, machine learning, and programming in Python. Share specific projects where you developed models or insights that drove business decisions, especially in pricing strategies.
✨Communicate Complex Ideas Simply
Since you'll be working with non-technical stakeholders, practice explaining complex data science concepts in simple terms. This will showcase your communication skills and your ability to advocate for data-driven decision-making.
✨Demonstrate Your Collaborative Spirit
Collaboration is key in this role. Prepare to discuss instances where you've worked cross-functionally to embed analytics solutions into business processes, emphasizing your ability to influence and support client teams effectively.
