Netrolynx AI
Data Science Manager
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About The Company
Data Idols is a leading data and analytics consultancy dedicated to empowering organizations with innovative data-driven solutions. With a focus on harnessing the power of artificial intelligence, machine learning, and advanced analytics, Data Idols partners with diverse industries to unlock actionable insights that drive strategic growth and operational excellence. Our commitment to excellence and innovation has established us as a trusted advisor for businesses seeking to leverage data for competitive advantage. We pride ourselves on fostering a collaborative, inclusive, and forward-thinking work environment where talented professionals can thrive and make a meaningful impact.
About The Role
We are seeking a highly skilled Data Science Manager to join our dynamic team at Data Idols. This pivotal leadership role involves overseeing a talented group of Data Scientists focused on delivering impactful customer insights and commercial outcomes for our clients. Based in London with a hybrid working model, the successful candidate will sit at the intersection of data science, customer insight, personalization, and strategic business initiatives. You will be responsible for shaping the technical direction of the team, managing stakeholder relationships, and ensuring the successful delivery of innovative machine learning solutions that enhance customer engagement and business performance.
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Qualifications
- Proven experience leading or managing Data Science teams within a commercial or client-facing environment.
- Strong expertise in machine learning, statistical modeling, customer analytics, or personalization techniques.
- Demonstrated ability to develop and deploy customer-focused models that generate measurable impact.
- Excellent stakeholder management skills, with the ability to communicate complex concepts to non-technical audiences.
- Experience in delivering data science products and models into production environments, ensuring scalability and robustness.
- Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, or a related field is preferred.
Responsibilities
- Lead and mentor a team of Data Scientists, fostering a collaborative environment that promotes continuous learning and innovation.
- Define and execute the technical roadmap for customer analytics, personalization, and machine learning initiatives.
- Translate complex customer data and behavioral insights into clear, actionable recommendations for business stakeholders.
- Establish best practices across experimentation, customer modeling, MLOps, and data science delivery processes.
- Collaborate with cross-functional teams including marketing, product, and engineering to integrate data science solutions into business operations.
- Ensure the deployment of scalable, reliable, and high-impact machine learning models into production environments.
- Monitor and evaluate model performance, making iterative improvements to optimize outcomes.
- Stay abreast of industry trends and emerging technologies to continuously enhance the organization’s data science capabilities.
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Benefits
At Data Idols, we believe in supporting our employees' growth and well-being. We offer a competitive salary package ranging from 100K to 120K plus performance-based bonuses. Our benefits include flexible hybrid working arrangements, comprehensive health insurance, ongoing professional development opportunities, and a vibrant collaborative work environment. We also promote a healthy work-life balance and provide resources to support your career progression and personal growth. Joining Data Idols means becoming part of a forward-thinking organization committed to innovation, excellence, and making a tangible impact through data.
Equal Opportunity
Data Idols is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and candidates. We celebrate diversity and are dedicated to fostering a workplace where everyone is valued, respected, and provided with equal opportunities to succeed, regardless of race, gender, age, disability, sexual orientation, religion, or background.
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