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Senior Data Scientist
Allianz
- London, England, United Kingdom
- London, England, United Kingdom
Über
We build out fully operational machine learning products to solve the problems at the core of our business. You will be involved in all aspects of these products, from liaising with business subject matter experts, to model building, evaluation, and deployment. You will also be involved in the development of new and innovative tools and techniques for use across the team through internal packages, innovation projects and university research partnerships.
The team structure is composed of smaller, focused stream-aligned agile teams. Each team works with different business areas and subject matter experts to achieve a mutual understanding of the business, challenges, and their needs. You'll have the opportunity to rotate to other teams throughout the year to enable strong relationships with business areas, whilst giving our team the opportunity to develop through exposure of new data challenges and domain-knowledge problems.
Salary information Pay: Circa £55,000 per year.
Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package.
Your Focus Conceive and develop machine learning solutions to address complex business challenges, collaborating closely with cross-functional teams to define project goals, scope, and deliverables. Take ownership of the deployment of solutions into production environments, continuously monitoring and maintaining models to ensure robust performance and reliability. Establish and propagate best practices within the team, including coding standards, version control and documentation. Conduct thorough code reviews ensuring team best practice is met and provide guidance to junior data scientists within the team, fostering their development. Stay up to date with the latest advancements in data science. Drive innovation by applying new techniques, tools and methodologies to solve business problems. Communicate complex data science concepts and insights to technical and non-technical stakeholders in a clear and actionable manner. Ensure strong ethical underpinnings of all analytics solutions developed, driving good outcomes for customers.
Essential Skills 2+ years of experience as a Data Scientist or similar data-oriented role in a commercial setup. Advanced proficiency in Python and its associated data science libraries with experience writing clean, well-documented, and unit-tested code. Strong foundation with a variety of machine learning models, including but not limited to gradient boosted models, generalized linear models and large language models. Hands‑on knowledge deploying production‑ready solutions ensuring robustness, scalability, and alignment with business goals. Demonstrated experience reviewing the work of colleagues and version control using Git. Able to deliver projects and articulate technical concepts to non‑technical audiences. Innovative and willing to seek creative solutions that improve on conventional approaches. Committed to continual improvement in your technical skills over the lifetime of your career. Strong collaborative mindset with the ability to foster a positive and inclusive team environment.
Desirable Skills A Degree in Data Science, Mathematics, Computer Science, or another quantitative discipline. Experience working in the insurance or financial services sector. Experience mentoring and guiding junior team members. Familiarity with agile ways of working and tools such as Jira. Experience using cloud technologies including Databricks, Kubernetes and API frameworks. Azure is preferable, but AWS, GCP or similar experience is welcome.
Don't meet every single requirement? - We are dedicated to building a diverse, inclusive and authentic workplace. If you're excited about this role, but your past experience doesn't align exactly with every qualification in the job description, we would still encourage you to apply. You might still be the right candidate for this or other roles.
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Sprachkenntnisse
- English
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