Senior Data Scientist
Senior Data Scientist
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Job Description
You will be part of a very dynamic and fastgrowing Analytics team in Turkey and you will develop analytical solutions to the benefit of our clients and their customers.
You must have experience (56 years at least) in the development of analytics and data science projects in the field of credit life cycle risk management antifraud modelling or marketing and CRM. Experience of open banking and transactional data analytics will be a major plus.
Main Responsibilities
- Design analytics solutions to clients problems in any area of customer life cycle and analytics using Experian analytics solutions to match best practice this includes handson delivery of data science related contents like development of analytical models and ad hoc analysis tracking model performance incident resolution (low accuracy troubleshooting miscategorization issue analysis) productionization of developed models and documentation.
- Contribute to a consultative way with the client to identify problems and design analytics solutions with a expertise in machine learning modelling or optimisation techniques.
- Present proposals to clients for analytics solutions including recommendations.
- Provide consultancy on the potential bigger picture strategies.
- Present to clients to ensure they understand the functionality and benefits of Experians products in solving business problems.
- Support the analytics team members on in the development analytical solutions for different clients
- Develop relationships with important client contacts.
- Coordinate with Experians Sales team to contribute to sales opportunities and support the conversion of sales prospects especially for the transactional data analytics opportunities.
- Participate in presales and sales meetings with clients and prospects to describe and position Experians analytics propositions and to adapt it to our clients needs.
- Lead the development of our client solutions for the area of open banking and transactional data analytics mostly.
- Lead the quality of the project deliverables for the project work meeting client/customer goals and being delivered to schedule and within budget.
Qualifications :
- Degree or equivalent standard with a high numeric content.
- 6 years of work experience in analytics with at least 3 years experience in consultancy.
- Experience in products and operations especially in Banking and Telco sectors (i.e. Credit Lifecycle Open Banking Marketing Analytics Risk Analytics Regulations)
- Experience with a broad range of analytical methodologies and their use in solving business problems
- Experience managing and delivering high quality analytics projects.
- Solid handson experience in data science and machine learning modelling with Python
- Experience with deep learning and other advanced modelling approaches to extract and automate insights from data.
- Experience shaping and defining complex solutions to meet client requirements
- Fluency in written and spoken English
Benefits/Perks:
- Great compensation package and bonus plan
- Core benefits including health and life insurance pension and wellbeing benefits.
- Flexible work environment hybrid work.
Additional Information :
Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity engagement collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is awardwinning; Great Place To Work in 24 countries FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
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Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
