Data Scientist

• Job Title – Data Scientist
• Location – BL9 8RR
• Working rota – Monday - Friday
• Working hours – 40 Hours
• Working Model - Onsite (5 days a week)

Role overview:

Reporting to Head of Data Science, a Data scientist is expected to develop and deploy core ML algorithms required to tackle data science challenges within JD group while adopting the best practices in the industry.

Responsibilities:

• Extracting, transforming and manipulating huge transactional datasets with regular application of robust statistical techniques.
• Translate business requirements into data science use cases.
• Apply advanced statistical, mathematical and ML modelling techniques for predictive modelling, and performance optimization/measurement.
• Supporting all aspects of a data science project lifecycle, starting from scoping, data gathering, pre-processing, dimensionality reduction, hyperparameter tuning, modelling, evaluation, deployment, documentation, industrialization and performance monitoring.
• Applying data science techniques to support measurement of media effectiveness
• Present insights from modelling in PowerBI dashboards.
• Collaborate with D&I and other business teams to develop data products that allow us to embed the use of data science directly in our processes.

Role objectives and KPI’s:

• Leverage data to extract valuable insights and drive data-informed decision-making within an organization.
• Responsible for developing and implementing machine learning models, conducting advanced statistical analyses, and solving complex business problems using data-driven approaches.
• KPIs for a Data Scientist role includes, but is not limited to, accuracy and performance of predictive models, impact on business metrics through data-driven recommendations, successful completion of analytical projects, and effective collaboration with cross-functional teams.

Skills and Experience:

• Graduate, Postgraduate or Ph.D in STEM field ( preferably Maths, Stats, Computer Science, Data Science, AI/ML)
• Solid understanding of classical ML algorithms like Regression (linear, non-linear, Ridge, Lasso), Classification, Gradient Boosting, Gradient Descent, Segmentation.
• Familiarity with neural networks, NLP, Tensorflow, Reinforcement learning, will be appreciated.
• 1-3 years of industry work experience in the field of data science/AI/ML.
• Good programming skills in python
• Skilled in using database querying language like SQL.
• Experience of developing, deploying and industrialising models on cloud-based platform.
• Knowledge of MLOps and CI/CD pipelines is preferable.
• Knowledge of version control tools like Github, bitbucket etc.
• Experience of using DBT, Airflow will be highly appreciated.
• Ability to explain insights, model outputs, concepts in a lucid manner to business stakeholders.
• Good presentation skills

The Company:

The JD Group is a leading omnichannel retailer of Sports Fashion, Street & Premium Fashion, Outdoors and Gyms with over 60,000 colleagues over 3,400 stores across several retail fascia's in over 30 markets around the world.

We are an equal opportunities employer who embraces and values differences. We recognise the importance of an inclusive workplace culture in which everyone can thrive irrespective of their background or identity.

To be a part of this successful and continuously growing company, you will have the desire to ingrain our strategic goals of being a people first, a digital leader and customer focused organisation which provides operational excellence and is continuous with identifying new areas of growth into our day-to-day.

We know our employees work tirelessly to make JD Sports the success it is today and in turn, we offer them some amazing benefits:

• Incremental Holiday Allowance
• Staff Discount on qualifying purchases across Group retail stores and online
• Exclusive Colleague Bike Discount scheme
• Discounted Gym membership
• Personal development opportunities to learn and develop at work
• Access to Apprenticeships and accredited qualifications

Interested?

If you are interested in this position, then press the Apply Now button.

Due to the high volumes of applications our opportunities attract, it takes time to review them all. If you don't hear back within two weeks of your application, please consider your application to have been unsuccessful on this occasion

Applications that meet the skills criteria will be contacted for a 1st stage meeting with the talent team. Shortlisted candidates will then be invited to interview with the hiring manager.

Thank you again for your time.

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