Data Science Manager

3 days ago Be among the first 25 applicants

You will be responsible for leading and managing a dynamic team of data scientists. You will play a crucial role in overseeing the team’s sprints, workload reviews, OKR and goal setting, and regular career planning. Working with peers within the CGA Technology group (GBS), you will align the Data Science initiatives with the company’s strategic direction and ensure delivery of our strategic goals.

This role is based mainly remotely with some travel to our Oxford‑based office.

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• Team Leadership
  
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  • Lead, mentor, and manage a team of data scientists to ensure a high level of performance and productivity
    
  • Foster a collaborative and innovative team culture that encourages continuous learning and professional development
    
  
  
  
• Sprint Planning and Execution
  
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  • Coordinate and facilitate work planning sessions to define project scope, goals, and deliverables
    
  • Manage the execution of sprints, ensuring that the team meets deadlines and delivers high‑quality results
    
  
  
  
• Workload Reviews
  
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  • Conduct regular reviews of team members’ workloads using JIRA, providing guidance on prioritisation and resource allocation
    
  • Collaborate with team members to identify potential challenges and implement solutions to optimise workload distribution
    
  
  
  
• Goal Setting and Target Achievement
  
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  • Work closely with the team to establish clear and measurable departmental goals aligned with the organisational objectives
    
  • Monitor progress towards goals, identify obstacles, and implement strategies to ensure targets are consistently met
    
  
  
  
• Collaboration with Other Teams
  
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  • Establish effective communication channels with cross‑functional teams to understand project requirements and ensure alignment with organisational goals
    
  • Foster a collaborative working environment by facilitating effective communication and knowledge sharing between data science and other teams within the GBS function
    
  
  
  
• Process Improvement
  
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  • Identify opportunities for process improvement within the data science team, optimising workflows and implementing best practices
    
  • Stay abreast of industry trends and emerging technologies to enhance the team’s capabilities
    
  
  
  

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• 5+ years’ experience of leading Data Science teams
  
• Experience with cloud computing and storage (MS Azure preferred)
  
• Experience with DataBricks (development and deployment)
  
• Strong knowledge of optimisation and/or machine learning algorithms
  
• Strong knowledge of Python and the respective development tools (e.g. Jupyter, PyCharm)
  
• Experience in SDLC and version control platforms
  

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• Flexible working environment
  
• Volunteer time off
  
• LinkedIn Learning
  
• Employee Assistance Programme (EAP)
  

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behaviour and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights – delivered with advanced analytics through state‐of‐the‐art platforms – NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, colour, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit our diversity page.