Netrolynx AI
Data Science Manager
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About The Company
Data Idols is a leading data-driven organization dedicated to leveraging advanced analytics and artificial intelligence to transform business operations and customer engagement strategies. With a focus on innovation and excellence, Data Idols collaborates with diverse clients across various industries to deliver tailored data solutions that drive measurable results. The company prides itself on fostering a collaborative environment where creativity, technical expertise, and strategic thinking converge to solve complex business challenges. Committed to continuous learning and development, Data Idols invests heavily in its talent pool, ensuring that team members stay at the forefront of emerging technologies and industry best practices.
About The Role
We are seeking a highly skilled and strategic Data Science Manager to join our team at Data Idols. This leadership role is based in London with a hybrid working model, offering an exciting opportunity to influence key business decisions through data science. The successful candidate will lead a talented team of Data Scientists focused on developing innovative models and analytics solutions that enhance customer personalization, improve marketing effectiveness, and support commercial objectives. As a pivotal figure at the intersection of data science, customer insights, and business strategy, you will be responsible for shaping the technical direction of projects, managing stakeholder relationships, and ensuring the delivery of impactful data products. This role offers a unique chance to work at the forefront of AI-driven customer engagement within a dynamic and forward-thinking organization.
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Qualifications
- Proven experience leading or managing Data Science teams within a commercial or retail environment.
- Strong expertise in machine learning, statistical modeling, and customer analytics.
- Hands-on experience developing and deploying customer-focused models and algorithms.
- Excellent stakeholder management skills, with the ability to communicate complex technical concepts to non-technical audiences.
- Experience with MLOps, experimentation frameworks, and data science best practices.
- Degree in Computer Science, Statistics, Data Science, or a related quantitative discipline; advanced degrees are a plus.
Responsibilities
- Lead the technical development and strategic direction of the data science team.
- Oversee the design, development, and deployment of machine learning models that enhance customer personalization and engagement.
- Translate complex customer and behavioral data into actionable insights and recommendations that support marketing strategies and business growth.
- Establish and promote best practices in experimentation, model validation, MLOps, and data science delivery processes.
- Collaborate closely with cross-functional teams such as marketing, product development, and business strategy to ensure that data-driven solutions are aligned with organizational goals.
- Mentor team members, fostering a culture of innovation and continuous improvement.
- Manage stakeholder expectations and communicate project progress effectively.
- Identify new opportunities for leveraging data science to create value across the organization.
- Support the scaling of analytics capabilities.
- Ensure the robustness and scalability of deployed models in production environments.
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Benefits
At Data Idols, we offer a comprehensive benefits package designed to support your professional growth and personal well-being. This includes:
- Competitive salary packages ranging from 100K to 120K plus performance-based bonuses.
- Flexible hybrid working arrangements to promote work-life balance.
- Ongoing training and development opportunities.
- Health insurance.
- Pension schemes.
- Generous holiday allowances.
Joining our team means being part of a vibrant, innovative environment that values your contributions and encourages continuous learning and career progression.
Equal Opportunity
Data Idols is committed to creating an inclusive environment where all employees are treated with respect and fairness. We are proud to be an equal opportunity employer and do not discriminate based on race, ethnicity, gender, age, disability, sexual orientation, religion, or any other characteristic protected by law. We believe diversity enhances our creativity and innovation, and we actively seek to build a team that reflects the diverse communities we serve.
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