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For Companies At a Glance
- Tasks: Lead a team of data scientists, manage sprints, and oversee goal setting.
- Company: NIQ is a global leader in consumer intelligence, providing insights into buying behaviour.
- Benefits: Enjoy flexible working, volunteer time off, and access to LinkedIn Learning.
- Why this job: Join a collaborative culture focused on innovation and professional growth.
- Qualifications: 5+ years leading Data Science teams; strong Python and machine learning skills required.
- Other info: NIQ values diversity and inclusion, welcoming candidates from all backgrounds.
The predicted salary is between 48000 - 84000 £ per year.
Overview
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.
Responsibilities
- 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.
- 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.
- Conduct regular reviews of team members\’ workloads using JIRA, providing guidance on prioritization and resource allocation.
- Collaborate with team members to identify potential challenges and implement solutions to optimize workload distribution.
- Work closely with the team to establish clear and measurable departmental goals aligned with the organizational objectives.
- Monitor progress towards goals, identify obstacles, and implement strategies to ensure targets are consistently met.
- Establish effective communication channels with cross-functional teams to understand project requirements and ensure alignment with organizational goals.
- Foster a collaborative working environment by facilitating effective communication and knowledge sharing between data science and other teams within the GBS function.
- Identify opportunities for process improvement within the data science team, optimizing workflows, and implementing best practices.
- Stay abreast of industry trends and emerging technologies to enhance the team\’s capabilities.
Qualifications
- 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 optimization 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
Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
About NIQ
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior 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
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Our commitment to Diversity, Equity, and Inclusion
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, color, 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 https://nielseniq.com/global/en/news-center/diversity-inclusion
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Data Science Manager employer: NIELSENIQ
Contact Detail:
NIELSENIQ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Familiarise yourself with the latest trends in data science and machine learning. Being able to discuss recent advancements or tools during your interview can demonstrate your passion and commitment to the field.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully managed teams in the past. Highlight specific instances where you fostered collaboration and innovation, as these are key aspects of the role.
✨Tip Number 3
Brush up on your knowledge of JIRA and agile methodologies. Being able to articulate how you've used these tools for sprint planning and workload management will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you would align data science initiatives with broader organisational goals. Think about strategies you've implemented in the past that have successfully bridged the gap between technical teams and business objectives.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in leading data science teams, cloud computing, and machine learning. Use specific examples that demonstrate your leadership skills and technical expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and leadership. Mention how your experience aligns with the company's goals and values, particularly in fostering collaboration and innovation within teams.
Showcase Relevant Projects: Include details of specific projects you've led or contributed to that involved data science methodologies, sprint planning, and process improvements. Highlight any measurable outcomes or successes from these projects.
Prepare for Technical Questions: Be ready to discuss your knowledge of Python, optimization algorithms, and tools like JIRA and DataBricks during interviews. Prepare examples of how you've applied these skills in previous roles.
How to prepare for a job interview at NIELSENIQ
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully managed teams in the past, focusing on fostering collaboration and innovation.
✨Understand Sprint Planning
Familiarise yourself with agile methodologies and be ready to discuss your experience with sprint planning and execution. Highlight any tools you've used, like JIRA, to manage workloads and ensure timely delivery of projects.
✨Align Goals with Strategy
Be prepared to talk about how you set measurable goals for your team that align with broader organisational objectives. Discuss your approach to monitoring progress and overcoming obstacles to achieve targets.
✨Emphasise Collaboration
Collaboration is key in this role. Share examples of how you've effectively communicated and worked with cross-functional teams to meet project requirements and drive success.
