обновлено 2 дня назад
Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI): Developing predictive, forecasting, optimisation, and intelligent decisioning models from large-scale customer and commercial data with an accent on advanced analytics, machine learning, and scalable cloud solutions. Focus on building production data science systems, solving customer and commercial challenges, and translating analytical results into measurable business value.
Location: London, UK, with hybrid working and 2 days per week in the office.
Right to work in the UK is required; visa sponsorship is not offered.
Company
is a media and entertainment company delivering television, streaming, broadband, mobile, sports, news, and digital products to millions of customers.
What you will do
- Develop actionable customer intelligence from core data assets using advanced analytics.
- Build predictive, forecasting, optimisation, segmentation, churn, customer lifetime value, elasticity, and intelligent decisioning models.
- Develop and deploy scalable data science solutions in a cloud environment using large-scale customer and commercial data.
- Collaborate with senior data scientists, stakeholders, technology teams, and data engineers to define objectives and deliver analytical solutions.
- Build compliant and efficient solutions for managing customer treatments.
- Contribute to internal data science capabilities through innovation, knowledge sharing, and training.
Requirements
- Commercial experience in at least two advanced analytical areas, such as predictive modelling, optimisation, unsupervised learning, or NLP.
- Experience building and deploying large-scale data science solutions, preferably in B2C companies.
- Strong Python skills and experience with machine learning libraries including scikit-learn, XGBoost, Keras, or TensorFlow.
- Familiarity with ETL concepts and ability to write scalable SQL.
- Ability to communicate results clearly to technical and non-technical audiences.
- Appropriate right to work in the UK required; sponsorship is unavailable.
Culture & Benefits
- Hybrid working with 2 days per week in the office.
- Free TV or NOW package, including Sports and Cinema.
- Pension package with up to 9% employer contribution.
- Private healthcare, mental health support, digital GP, and dental insurance.
- Discounts on products, Sharesave and Tech schemes, and VIP rewards.
- Inclusive workplace with reasonable adjustments available for candidates who need them.
Hiring process
- Successful applicants complete a criminal record check.
- Reasonable adjustments can be requested during the application process.
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