Data Scientist for Product Sustainability at Roche managing environmental data for sustainability reporting. Bridging Global Sustainability Experts and IT systems to ensure actionable insights for product emissions and compliance.
About the role
- Senior Data Scientist developing machine learning models to drive insights for clients at GAIN. Collaborating with teams to deliver actionable data-driven solutions in a hybrid work environment.
Responsibilities
- Design, develop and deploy machine learning models to solve business problems using Azure ML
- Work with the team on creating bespoke models and segmentation to assist our clients in their understanding of their customers
- Collaborate with product and development departments to understand company needs and translate them into technical solutions
- Define and manage rollout of new analytical products and models across both the Analytics team and the wider business
- Advice on the suitability of different statistical techniques to solve difficult problems, both with internal and external stakeholders
- Design and implement data experiments, conduct A/B testing, and evaluate product performance using appropriate statistical techniques.
- Create roadmap of new modelling, prioritising based on business needs and managing the resourcing and delivery plan
- Be a champion of best practice for GAIN’s data science technology and processes
- Stay up-to-date with the latest advancements in data science, machine learning, and analytics tools and techniques, and apply them to drive innovation
- Ability to communicate results and ideas to key decision makers
Requirements
- 6+ years experience as a Data Scientist or Data Analyst
- Hands-on experience with modern cloud platforms (Databricks, Azure, GCP etc.)
- Experience with machine learning platforms (preferably Azure ML)
- Previous experience with customer data
- Analytical mind and business acumen with Data-oriented personality
- Knowledge of retail and marketing data requirements
- Excellent communication and presentation skills: can explain complex analytical work in a logical way which can be understood by a non-analytical audience.
- Strong applied statistical skills, such as clustering, statistical testing, classification etc
- Capable of planning and managing own time to ensure timely delivery of projects.
Benefits
- Our benefits for UK employees include:
- Private Medical Insurance
- BUPA Life Assurance
- Income protection
- Employee Assistance Programme
- Cycle to Work salary sacrifice scheme
- Tech & Wearables salary sacrifice scheme
- Octopus EV Scheme
- Discounts and deals on a range of items from hotels, holidays and hormone testing to cinema, gyms and will writing
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Scientist at Roche leading data science projects for healthcare analytics. Collaborating with cross - functional teams to drive strategic decision - making and optimize business outcomes.
Staff Data Scientist guiding the implementation of machine learning models and deep learning tools at Blue Yonder. Collaborating with cross - functional teams to deliver retail solutions for data science and ML applications.
Data Scientist I developing AI solutions for a leading supply chain company. Innovating and collaborating on cutting - edge AI technologies within diverse teams.
Insights & Analytics Lead managing consumer insights and research projects at Kimberly - Clark. Leading strategic initiatives to drive value creation across Asia's markets.
Lead consumer insights projects and analyses across Asia for Kimberly - Clark’s Family Care brands. Drive strategies through deep understanding of consumer needs and market trends.
Software Development role at GDIT requiring a TS/SCI clearance with Polygraph. Engaging in government projects for software innovation and development in Virginia.
Coordenador de Ciência de Dados leading the data team in developing analytical solutions for Caixa Vida e Previdência. Focused on data science and project coordination in a collaborative environment.
Lead and deliver AI initiatives focusing on traditional machine learning and generative AI for Mashreq Bank. Build, scale, and productionize models for business transformation and operational efficiency.
Data Scientist designing and implementing analytical solutions using Python and AI technologies. Collaborating cross - functionally to deliver Generative AI solutions for business needs in a hybrid setup.