Sr. Data Scientist London, UK

Galytix Limited; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a talented professional to join their mission-driven team in revolutionizing the Insurance and Banking industry. This exciting role involves developing cutting-edge machine learning models and contributing to impactful solutions for global financial institutions. You will leverage your expertise in Data Mining, NLP, and Computer Vision to tackle real-world challenges, working closely with senior leaders and top-tier clients. If you are passionate about technology and want to make a significant impact in a customer-centric environment, this opportunity is perfect for you.

Qualifications

• 6+ years of experience in Data Mining, Machine Learning, NLP, and Computer Vision.
• Hands-on capability in developing ML models using Python and R.

Responsibilities

• Process, analyze, and synthesize information for client problems at scale.
• Develop machine learning models for insights from structured and unstructured data.

Skills

Data Mining

Classical Machine Learning

Deep Learning

Natural Language Processing (NLP)

Computer Vision

Problem-solving

Analytical Skills

Quantitative Skills

Service Orientation

Team Leadership

Education

University Degree in Mathematics

University Degree in Computer Science

University Degree in Engineering

University Degree in Physics

Tools

Hadoop

Spark

Hive

Impala

PrestoDb

Python

R

PyTorch

TensorFlow

Dask

Apache Ray

Job description

Galytix (GX) is delivering on the promise of AI.

GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules.

GX AI assistants are designed for Individual Investors, Credit and Claims professionals. Our assistants are being used right now in global financial institutions. Proven, trusted, non-hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks.

Responsibilities:

• Contributing by processing, analyzing, and synthesizing information applied to a live client problem at scale.
• Developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision.
• The role requires skills in both prototyping and developing individual solutions but also implementation and integration in a production environment.

Desired Skills:

• A university degree in Mathematics, Computer Science, Engineering, Physics or similar.
• 6+ years of relevant experience in several areas of Data Mining, Classical Machine Learning, Deep Learning, NLP and Computer Vision.
• Experience with Large Scale/ Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb.
• Hands-on capability developing ML models using open-source frameworks in Python and R and applying them on real client use cases.
• Proficient in one of the deep learning stacks such as PyTorch or Tensorflow.
• Working knowledge of parallelisation and async paradigms in Python, Spark, Dask, Apache Ray.
• An awareness and interest in economic, financial and general business concepts and terminology.
• Excellent written and verbal command of English.
• Strong problem-solving, analytical and quantitative skills.
• A professional attitude and service orientation with the ability to work with our international teams.
• Experience in leading a team is an advantage.

Why You Do Not Want to Miss This Career Opportunity:

• We are a mission-driven firm that is revolutionising the Insurance and Banking industry. We are not aiming to incrementally push the current boundaries; we redefine them.
• Customer-centric organisation with innovation at the core of everything we do.
• Capitalize on an unparalleled career progression opportunity.
• Work closely with senior leaders who have individually served several CEOs in Fortune 100 companies globally.
• Develop highly valued skills and build connections in the industry by working with top-tier Insurance and Banking clients on their mission-critical problems and deploying solutions integrated into their day-to-day workflows and processes.