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Scientist - Data Platform Optimizer - Indiana, United States - XL Catlin
Description
Job Description - Scientist, Data Platform OptimizationD
Job Description
Scientist, Data Platform Optimization
(
Job Number:
D
)
DISCOVER your opportunity
AXA XL recognizes digital, data, and information assets are critical for the business, both in terms of managing risk and enabling new business opportunities.
Data Science and Applied AI assets should not only be high quality but also drive a sustained enterprising advantage and deliver an excellent experience to our internal, and external customers, and improve efficiency.
Our Innovation, Data & Analytics (IDA) function is focused on driving innovation by optimizing how we leverage digital, data, and AI to drive strategy and differentiate ourselves from the competition.
As we develop an enterprise-wide data and digital strategy that moves us toward a greater focus on the use of data and strengthening our digital, AI capabilities, we are seeking a Scientist for Data Platform Optimization.
In this role, you will research and apply engineering best practices and the latest technology to lead physical design for data layers and evolve ways of working to support rapid growth in data inventory as well as the variety and number of deployed data science applications.
The platform is expected to enable scalable data acquisition and transformation, BI and web app serving, insight generation, full data, and ML engineering lifecycle including controlled deployment to production and ongoing monitoring and operations.
DISCOVER your opportunityWhat will your essential responsibilities include?
Act as a data engineering expert and partner to Global Technology and data consumers in controlling the complexity and cost of the data platform, whilst enabling performance, governance, and maintainability of the estate.
Understand current and future data consumption patterns, and architecture (granular level), and partner with Architects to make sure optimal design of data layers.
Apply best practices in Data architecture.For example, the balance between materialization and virtualization, the optimal level of de-normalization, caching, and partitioning strategies, choice of storage and querying technology, and performance tuning.
Led and hands-on execution of research into new technologies such as Delta tables, graph databases, and observability answers. Formulating frameworks for the assessment of new technology vs business benefit, implications for data consumers.Act as a best practice expert, and blueprint creator of ways of working such as testing, logging, CI/CD, observability, and release, enabling rapid growth in data inventory and utilization of Data Science Platform.
Design Business Object, Logical, Physical, and Semantic Models at the enterprise and/or individual line of business and/or product levelDesign prototypes and work in a fast-paced iterative solution delivery model.
In this role, you will report to the Data Platform Optimization Division Lead.
SHARE your talent
We're looking for someone who has these abilities and skills:
Required Skills and Abilities:
Bachelor's degree in computer science
, Mathematics, Statistics, Finance, related technical field, or equivalent work experience.
Experience in extensive work in various data engineering & modeling techniques (relational, data warehouse, semi-structured, etc.), application development, and advanced data querying skills.
Solid experience writing, optimizing, and analyzing SQL and data pipelines, with a robust capability to interpret complex data requirements and architect solutions.
Desired Skills and Abilities:
Ability to interpret complex data requirements and architect solutions.
Distinctive problem-solving and analytical skills combined with robust business acumen.
Understanding of Microservice Architecture, System Integration, and Agile development methodology.
Knowledge of Azure cloud computing platform with Azure Synapse, ADLS, and ADF.
Familiarity with Python or Scala is a plus.
Familiarity with Reporting software – MicroStrategy and Power BI are a plus.
Passion for data and experience working within a data-driven organization.
You care about what you do, and what we do
.
FIND your future
AXA XL, the P&C and specialty risk division of AXA, is known for solving complex risks. For mid-sized companies, multinationals, and even some inspirational individuals we don't just provide re/insurance, we reinvent it.
How? By combining a robust and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business − property, casualty, professional, financial lines, and specialty.
With an innovative and flexible approach to risk answers, we partner with those who move the world forward.Learn more at
Inclusion & Diversity
AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, ethnicity and origins, marital status, religion, disability, or any other protected characteristic.
At AXA XL, we know that an inclusive culture and a diverse workforce enable business growth and are critical to our success.
That's why we have made a strategic commitment to attract, develop, advance and retain the most diverse workforce possible, and create an inclusive culture where everyone can bring their full selves to work and can reach their highest potential.
It's about helping one another — and our business — to move forward and succeed.Five Business Resource Groups focused on gender, LGBTQ+, ethnicity and origins, disability and inclusion with 20 Chapters around the globe
Robust support for Flexible Working Arrangements
Enhanced family friendly leave benefits
Named to the Diversity Best Practices Index
Signatory to the UK Women in Finance Charter
\
At AXA XL, Sustainability is integral to our business strategy.
In an ever-changing world, AXA XL protects what matters most for our clients and communities. We know that sustainability is at the root of a more resilient future.
Our Sustainability strategy, called "Roots of resilience", focuses on protecting natural ecosystems, addressing climate change, and embedding sustainable practices across our operations.
How we impact nature affects how nature impacts us. Resilient ecosystems - the foundation of a sustainable planet and society – are essential to our future.
We're committed to protecting and restoring nature – from mangrove forests to the bees in our backyard – by increasing biodiversity awareness and inspiring clients and colleagues to put nature at the heart of their plans.
Addressing climate change:The effects of a changing climate are far-reaching and significant. Unpredictable weather, increasing temperatures, and rising sea levels cause both social inequalities and environmental disruption.
We're building a net zero strategy, developing insurance products and services, and mobilizing to advance thought leadership and investment in societal-led solutions.
IntegratingESG:
All companies have a role to play in building a more resilient future. Incorporating ESG considerations into our internal processes and practices builds resilience from the roots of our business. We're training our colleagues, engaging our external partners, and evolving our sustainability governance and reporting.
AXA Hearts in Action
:
We have established volunteering and charitable giving programs to help colleagues support causes that matter most to them, known as AXA XL's "Hearts in Action" programs.
These include our Matching Gifts program, Volunteering Leave, and our annual volunteering day – the Global Day of Giving.For more information, please see
AXA XL is an Equal Opportunity Employer.
Location
Work Locations
Location
:
IN-HR-Silokhera Gurgaon
Work Locations
:
IN Gurugram 14th Floor - Block B2 Silokhera
12th, 14th & 15th (Block B3)
DLF IT/ITES SEZSilokhera
Silokhera Gurgaon
122001
Job Field
Job Field
:
Conversion1
Schedule
Schedule
:
Full-time
Job Type
Job Type
:
Standard
AXA XL is an Equal Opportunity Employer and does not discriminate against any colleague or applicant for employment on the basis of race, color, national origin, religion, sex, gender identity and/or expression, sexual orientation, age, disability, genetic information, veteran status, military status or any other category protected by local law.
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