Related keywords: data scientist remote jobfashion remote jobecommerce remote job
This page contains product affiliate links.
The Principal Data Scientist position with Harnham is an excellent opportunity for someone looking to make a significant impact in a thriving environment. The role is offered as part-time with a hybrid work model based in London, requiring in-office attendance for three days a week. The position comes with a competitive salary of up to £80,000 per annum and offers the chance to work with a well-known fashion brand in the data and analytics space.
Harnham is a prominent recruitment agency specializing in data and analytics roles. Their partnership with leading brands in the fashion industry allows them to provide exciting career opportunities, making this an attractive offer for qualified professionals. The data science function you’ll lead is crucial for the brand’s growth and customer engagement efforts.
The Principal Data Scientist will have a pivotal role in the organization and will be responsible for:
Leading, mentoring, and developing a team of Data Scientists and Analysts focused on customer and marketing-centric use cases.
Building and deploying advanced models that enhance personalization, customer segmentation, lifetime value prediction, churn prevention, and marketing attribution.
Partnering closely with various teams, including CRM, Digital Marketing, and eCommerce, to implement data-driven improvements throughout the customer journey.
Utilizing advanced analytics techniques to understand customer behavior and optimize marketing spend and engagement strategies.
Ensuring high data quality and scalable infrastructure to support marketing and customer data analytics.
Driving innovation within the team by keeping up-to-date with the latest trends in AI/ML specific to the retail and customer analytics domains.
To qualify for this role, candidates should possess the following skills:
A minimum of 5 years of experience in Data Science, particularly with an emphasis on customer or marketing analytics.
Proven track record in developing predictive models aimed at segmentation, churn reduction, customer lifetime value forecasting, personalization, or marketing attribution.
Strong technical expertise in Python and SQL, along with experience in deploying production-quality machine learning solutions.
Ability to collaborate confidently with stakeholders from various disciplines, including marketing, CRM, eCommerce, and digital product teams.
A mindset inclined towards collaboration and an enthusiasm for utilizing data to improve the customer experience.
The ideal candidate for the Principal Data Scientist role is someone who demonstrates a blend of technical skills and business acumen. They should be able to communicate their insights effectively across departments and display leadership qualities that will help to grow and inspire their team. A passion for the fashion sector, combined with a strong analytical approach, would make an individual stand out in the application process.
Interested candidates are encouraged to apply directly for the role. Alternatively, they can reach out to Joseph Gregory, presumably a recruiter or hiring manager at Harnham, for further clarifications or inquiries about the position. Given the competitive nature of this role and the attractive salary package, potential applicants should prepare to highlight their unique qualifications and experiences in both data science and retail analytics during the application process.
In summary, the Principal Data Scientist position at Harnham is a compelling opportunity for individuals looking to lead data-driven initiatives in a well-established brand, requiring both technical expertise and innovative thinking.
This job offer was originally published on jooble.com
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
