Netrolynx AI
Data Scientist
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About The Company
Harnham - Data & Analytics Recruitment is a leading recruitment agency specializing in data science, analytics, and data engineering roles across various industries. With a strong reputation for connecting top-tier talent with innovative organizations, Harnham is dedicated to supporting businesses in leveraging data to achieve strategic objectives. Their extensive network and deep industry expertise enable them to provide tailored recruitment solutions, ensuring clients find the right candidates to drive their data initiatives forward.
About The Role
We are seeking an experienced Data Scientist to join a well-established retail organization committed to harnessing data to improve customer experience and optimize business performance. This contract role offers an exciting opportunity to work within a collaborative team environment, where your analytical expertise will directly influence strategic decision-making. The successful candidate will develop and implement advanced predictive models, analyze large datasets, and collaborate with cross-functional teams to translate complex data insights into actionable business strategies. This position requires a proactive individual with a strong foundation in statistical analysis, machine learning, and data manipulation, capable of communicating findings effectively to both technical and non-technical stakeholders.
Qualifications
- Proven experience applying data science techniques within a commercial or retail environment.
- Advanced proficiency in Python, including libraries such as pandas, scikit-learn, and TensorFlow, for statistical analysis and machine learning.
- Strong SQL skills with extensive experience working with large-scale datasets.
- Experience developing predictive models, customer segmentation, propensity scoring, forecasting, and recommendation systems.
- Excellent communication skills, with the ability to clearly present complex analytical insights to diverse audiences.
- Experience working with cloud platforms such as AWS, Azure, or GCP is highly desirable.
- Degree in Computer Science, Data Science, Statistics, or a related field.
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Responsibilities
- Design, develop, and deploy predictive models to support customer engagement, marketing strategies, and commercial initiatives.
- Analyze extensive customer and transactional data to uncover patterns, trends, and actionable insights that inform business decisions.
- Create segmentation, propensity, forecasting, and recommendation models to enhance personalization and operational efficiency.
- Collaborate with marketing, operations, and commercial teams to understand business needs and translate them into effective analytical solutions.
- Present complex findings and strategic recommendations to both technical teams and executive stakeholders in a clear and compelling manner.
- Monitor and evaluate model performance, ensuring continuous improvement and adherence to best practices in data science.
- Stay updated with the latest developments in data science and analytics to incorporate innovative techniques and tools into the organization’s practices.
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Benefits
- The organization offers a competitive daily rate of £500-£650, along with the opportunity to work on impactful projects within a dynamic retail environment.
- You'll benefit from a flexible working arrangement, exposure to cutting-edge data science techniques, and the chance to collaborate with a talented team of professionals.
- The role provides valuable experience in applying data science in a commercial setting, contributing to strategic initiatives that directly influence business outcomes.
- Additionally, the organization supports continuous learning and development, encouraging employees to expand their skills and stay ahead in the rapidly evolving field of data analytics.
Equal Opportunity
Harnham - Data & Analytics Recruitment is an equal opportunity employer. They are committed to fostering an inclusive environment where all candidates are treated with fairness and respect, regardless of race, gender, age, religion, sexual orientation, disability, or background. They believe diversity enhances innovation and drives better decision-making, and they actively encourage applications from diverse talent pools to join their team and contribute to their ongoing success.
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