Machine Learning Scientist

Experian

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profile Job Location:

Sofia - Bulgaria

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Department:

Analytics

Job Summary

Our Experian Software Solutions Analytics Services Team supports advanced analytic and generative AI products for decisioning analytics fraud and identity globally.

As a Machine Learning Scientist you will design build and deploy cuttingedge machine learning and generative AI solutions at scale. You will combine deep data science expertise with ML engineering and data engineering capabilities to deliver productionready models prototypes and platform capabilities. You will also partner with crossfunctional teams to support new global product launches client implementations and early client adoption. You will report to the Director of Data Science and Gen AI.

What youll do:

  • You will partner with data scientists and then expand to cover packaging and productization of additional analytics solutions.
  • You would deliver the last mile of those innovations ensuring that production code is executed within the Ascend platform and software that Experian delivers to clients.
  • Collaborate with Engineering Research and Data Science teams in the design and implementation of Machine Learning Dashboarding Ad Hoc Analysis and AI applications in a cloud-native big data (AWS) computing platform.
  • Partner with Leaders Analytic Consultants Engineers Account Executives Product Managers and external partners to bring new solutions to market that provide impact to Experians broad client base.
  • Craft advanced machine learning analytical solutions and prototypes to extract insights from diverse structured and unstructured data sources. Articulate model processes and outcomes documenting and presenting findings and performance metrics and translating complex findings into relevant insights.
  • Use Gen AI and model development tools to develop new models and to prototype and deploy new generative capabilities including prompt engineering finetuning RAG and model evaluation frameworks.
  • Develop production-quality code following software engineering best practices including modular design version control code reviews and automated testing ensuring reliability and reproducibility.
  • Communicate model methodologies assumptions performance and trade-offs to both technical and nontechnical stakeholders. Deliver clear documentation and translate complex concepts into insights.
  • Design and implement advanced algorithms to solve complex challenges exploring methods across supervised unsupervised deep learning graph analytics anomaly detection and reinforcement learning.
  • Contribute to feature and platform evolution by gathering feedback from clients and our teams helping prioritize enhancements across Experians ML and AI ecosystem.

Qualifications :

What youll bring:

  • 4 years of experience in AI data science or predictive modeling with a track record for managing complex hands-on analytical technology innovation and client-focused projects;
  • Advanced degree in Machine Learning Data Science AI Computer Science or a related quantitative field;
  • Statistical modeling proficiency in at least one programming language with coding skills in Pythonand proficiency with distributed computing frameworks (AWS). Experience with large data analysis using Spark (pySpark preferred) and model development using Python or SAS;
  • Experience applying Generative AI-based tools and rapid prototyping of new concepts;
  • Having some background in model risk management / governance processes regulatory requirements and LLM advances.

Additional Information :

You will get:

  • Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses learning materials and books.
  • Work environment - excellent work conditions with friendly environment recognized team spirit and fun and quality recreation time.
  • Social benefit package including life insurance food vouchers additional health insurance monthly flex allowance and internet coverage corporate discounts marriage and childbirth / adoption allowance Multisport card Sharesave plan Employee assistance program а birthday gift and many other benefits!
  • Work-life balance - 25 days paid vacation 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
  • Opportunity for Flexible working hours and Home Office.

 

Experian is an Equal opportunity employer. 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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This is a hybrid remote/in-office role.

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Remote Work :

No


Employment Type :

Full-time

Our Experian Software Solutions Analytics Services Team supports advanced analytic and generative AI products for decisioning analytics fraud and identity globally.As a Machine Learning Scientist you will design build and deploy cuttingedge machine learning and generative AI solutions at scale. You ...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

About Company

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Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, ... View more

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