Netrolynx AI
Data Scientist
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About The Company
Harnham - Data & Analytics Recruitment is a leading specialist recruitment agency dedicated to connecting talented data professionals with organizations seeking to leverage data for strategic advantage. With a deep understanding of the data landscape, Harnham has built a strong reputation for delivering tailored recruitment solutions across various industries, including retail, finance, technology, and more. The company prides itself on its commitment to excellence, integrity, and fostering long-term relationships with both clients and candidates. By staying at the forefront of industry trends and market insights, Harnham ensures that clients receive access to the best talent available and candidates find roles that align with their skills and career aspirations.
About The Role
We are seeking a highly skilled Data Scientist to join our client’s dynamic team within the retail sector. This role offers an exciting opportunity to work on impactful projects that directly influence customer experience and business performance. The successful candidate will be responsible for developing advanced analytical models, deriving actionable insights from complex datasets, and collaborating closely with cross-functional teams to translate business needs into innovative data solutions. This position is ideal for someone with a strong background in data science techniques, a passion for solving business problems through data, and the ability to communicate findings effectively to both technical and non-technical stakeholders. The role is based in London and offers a competitive daily rate, outside IR35, with an initial contract duration that can extend based on project needs.
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Qualifications
The ideal candidate will possess a combination of technical expertise and business acumen, including:
- Proven experience applying data science techniques within a commercial environment, particularly in retail or related sectors.
- Advanced proficiency in Python, including libraries such as pandas, scikit-learn, and TensorFlow or PyTorch for machine learning and statistical analysis.
- Strong SQL skills with experience working with large-scale datasets and data warehousing solutions.
- Experience building predictive models, customer segmentation, propensity scoring, forecasting, and recommendation systems.
- Excellent communication skills, capable of translating complex analytical results into clear, actionable insights for diverse audiences.
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform is advantageous but not mandatory.
- Degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Responsibilities
The successful candidate will be expected to:
- Develop, validate, and deploy predictive models to support customer engagement, marketing strategies, and commercial initiatives.
- Analyze large and complex datasets to identify trends, patterns, and actionable insights that can inform strategic decision-making.
- Create segmentation, propensity, forecasting, and recommendation models tailored to business needs.
- Collaborate with stakeholders across marketing, operations, and commercial teams to understand requirements and translate them into technical solutions.
- Present analytical findings and strategic recommendations clearly and effectively to both technical teams and executive leadership.
- Support the continuous improvement of data science methodologies, best practices, and model performance monitoring frameworks.
- Stay updated with the latest developments in data science and analytics to ensure the organization remains at the cutting edge of innovation.
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Benefits
Our client offers a competitive daily rate and the opportunity to work on impactful projects within a forward-thinking retail organization. The role provides exposure to advanced data science techniques and the chance to collaborate with a talented team of professionals. Additionally, the organization promotes a flexible working environment, encourages continuous learning, and values innovation. There are ample opportunities for professional development and career progression within the company. The role also offers the chance to make a tangible difference in how the business leverages data to enhance customer experiences and operational efficiency.
Equal Opportunity
Our client is an equal opportunity employer committed to fostering an inclusive environment for all employees. They value diversity and are dedicated to providing equal employment opportunities regardless of race, gender, age, religion, disability, sexual orientation, or any other protected characteristic. They believe that diverse teams drive innovation and are essential to the success of their organization. All qualified applicants will receive consideration for employment without regard to any protected status.
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