Data Science Lead

Job Level:  Professional
Location: 

Dubai, AE

Area of Expertise:  IT & Tech Engineering
Unit:  Allianz Partners
Employing Entity:  NEXTCARE Claims Management LLC
Job Type:  Full-Time
Remote Job:  Hybrid working
Employment Type:  Permanent
ID:  52152
Position Cluster:  Non-Executive

Job Overview:

As the Data Science Lead at Allianz Partners Global Health Operations, you will play a crucial role in shaping the company's strategic data science projects. You will be responsible for ensuring development of innovative data-driven solutions that support our business objectives and its implementation across AP International Health business units and entities (incl Allianz Care, NextCare, Medi-24, Mawista and Australia). The successful candidate will have a deep understanding of data science and machine learning techniques and will be responsible for developing and implementing a data science strategy that aligns with our overall business goals.

 

Job Responsibilities / What you do:

  • Develop and communicate project roadmaps for data science projects and strategy that aligns with business goals and objectives
  • Proactively identify opportunities and provide recommendations to improve operational efficiencies and implement scalable solutions
  • Ensure the project team and the resulting project output comply with regulatory, ethical and legal needs
  • Design, manage and evangelize effective agile workflows
  • Work closely with stakeholders to identify business problems that can be solved using data science techniques and develop solutions that deliver business value
  • Work closely with the Strategic Data Insight Project Manager to identify areas suitable for process streamlining and automation with the use of Data Tools.
  • Work closely with the Data Insight and Reporting Managers to identify opportunities for predictive insight analytical models.
  • Have a good understanding of operational business stream and underlying profitability drivers and leverage those to provide meaningful recommendations to Operation Leadership & Management.
  • Contribute to the development and refinement of Allianz Partners Global Health vision and strategy by providing accurate and reliable reporting to Operation Leadership.
  • Develop and test architectures that enable data extraction and transformation for predictive and prescriptive modeling
  • Facilitate building of data systems and pipelines
  • Support the Data Intelligence and Data Insights Team through implementing methods to improve data reliability, quality and accessibility
  • Monitor project progress, proactively addressing any risks or challenges that may arise, and implementing corrective actions when necessary to ensure successful project delivery.
  • Stay up-to-date with industry trends, tools, and technologies in the field of Data Science, Big Data and Artificial Intelligence with applications to the business
  • May require visiting and working closely with Allianz Partners Global Health Operating Entities to carry out project and reporting requirements.

 

Key requirments / What you bring

  • Bachelors in Mathematics, Statistics, Finance or Data Science, Masters Degree is an advantage;
  • Minimum 3 years relevant experience in Analytics or Data Science or Project Management Role
  • Strong understanding of Data Science techniques and tools, including Machine Learning, statistical modeling and data visualization
  • Strong business acumen and experience applying data science solutions to solve business problems
  • Full English proficiency is required.
  • Excellent interpersonal communication and negotiation skills; ability to deal with customers and business partners in a professional manner.
  • Proven ability to manage projects, budgets and timelines effectively
  • Good interpersonal skills in order to work in a team environment and interact with employees at all levels.
  • Excellent organizational skills in order to successfully prioritize tasks and monitor performance to ensure benchmarks are consistently met. Able to meet tight deadlines.
  • Good problem solving skills and decision making skills to demonstrate the ability to think, produce, and effectively execute well-constructed, creative, documented recommendations and solutions.
  • Strong work ethics to commit the time and effort needed to successfully achieve the goals.
  • Customer focused and service oriented to ensure quality services are provided at all times

 

Key Benefits / What we offer:

Our employees play an integral part in our success as a business. We appreciate that each of our employees are unique and have unique needs, ambitions and we enjoy being a part of their journey.

We are there to empower and encourage you with your personal and professional development ensuring that you take control by offering a large variety of courses and targeted development programs. All that in a global environment where international mobility and career progression are encouraged. Caring for your health and wellbeing is key priority for us. This is why we build Work Well programs to providing you with peace of mind and give the flexibility in planning and arranging for a better work-life balance.

 

52152 | IT & Tech Engineering | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent

Allianz Partners Introduction:

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. 
We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.

Join us. Let's care for tomorrow.