Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
About the role
- Data Science Consultant at AtkinsRéalis combining analytical skills with client engagement to deliver end-to-end data solutions. Involves extensive collaboration and advanced data analysis across various domains.
Responsibilities
- Eliciting user requirements through client engagement.
- Working with clients to integrate data best practice and governance into refined processes to support enhanced decision-making.
- Handling, merging, cleaning, and modelling multi-source data so that it can be further analysed.
- Applying a variety of data analysis and visualisation techniques from statistical and/or predictive modelling through to bespoke visualisation platform development.
- Developing and optimising data pipelines and workflows for efficient data processing.
- Collaborating with teams of technical and non-technical users of various experience levels.
- Communicating results through compelling visualisations and presentations.
- Contributing to decision-making that will lead to successful delivery of projects.
- Participating in external activities such as client engagement, conferences, and staying current with emerging technologies and trends in data science and AI.
Requirements
- Experience in data science, analytics, or data consultancy roles.
- Experience working in a consulting environment.
- Proficiency in at least one programming language, preferably Python.
- Experience in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience in statistical analysis and modelling.
- Experience with data visualisation principles and tools (e.g., Power BI).
- Experience with cloud platforms, preferably Azure, and big data technologies (e.g. Databricks).
- Excellent communication and stakeholder management skills.
- Ability to work independently and manage multiple projects simultaneously.
- Strong written and verbal skills, including client-facing experience.
- Good organisational and analytical skills.
- Experience working with transportation data.
- GIS skills are preferable.
- Degree/Master’s Degree in Mathematics, Computer Science, Statistics, Data Science, Artificial Intelligence, or a related field.
- Relevant certifications (e.g., DP-900, AI-900, DP-100, PL-300, AI-102) are a plus.
Benefits
- Enjoy competitive salaries
- Employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices.
- Opportunities for training and professional development to grow your skills and expertise.
- Hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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