AI Data Science Engineer

3 Months ago • All levels
Data Analysis

Job Description

As a data scientist at Ness Digital Engineering, you will be the crucial link between the business, customers, and technological solutions. You will be responsible for modeling and transforming datasets to provide valuable insights that drive decision-making and customer solution development. Your role involves working on large-scale, real-life data projects, defining new metrics, creating new tools, and developing machine learning solutions. You will be helping the team to understand the needs of customers and improving their experience. The role requires you to thrive in a fast-paced environment and learn quickly.
Good To Have:
  • Statistical models knowledge and Math background
  • Experience with Cloud platforms
  • Knowledge of how models are built (templates)
  • Experience with custom-built models
  • Experience in the FS (Financial Services) arena (ideally)
  • Experience with Predictive analytics
Must Have:
  • Senior level Data Science experience
  • Experience with standard AI mathematic models and model deployment
  • Excellent communication and detailed specification writing skills
  • Self-starter, team-oriented, able to work independently
  • Able to thrive and learn quickly in a fast-paced environment
  • Proficient with standard AI Algorithms (anomaly detection, linear regression)
  • Experience with Python and Tensorflow

Add these skills to join the top 1% applicants for this job

team-management
communication
data-science
python
algorithms
tensorflow
machine-learning

Job ID 5398/5921

Why Ness

We know that people are our greatest asset. Our staff's professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world's leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.

You'll gain knowledge by working alongside other highly skilled professionals that will help accelerate your career progression.

You'll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities, and attractive compensation.

Requirements and responsibilities

What you'll do

Our data scientists are the link between our business, customers and technology solutions. By modelling and transforming datasets, our data scientists provide valuable insights that help us to make decisions and build customer solutions.

As a data scientist, you’ll work on challenging projects at a large scale with real life data. You define new metrics, build new tools, and work on machine learning solutions. You’ll help us deep dive the needs of our customers so we can keep adapting to their demands and improving their experience.

What you'll bring

  • Data Science experience Senior level;
  • Experience with Standard AI mathematic models, deploying the models;
  • Communication skills and experience of writing detailed specifications;
  • Should be a self-starter, team oriented and be able to work independently and creatively;
  • Able to thrive in a fast-paced environment and learn quickly.

Key skillset

  • Standard AI Algorithms (anomaly detection, linear regression);
  • Python, Tensorflow working with AI models and deploying the models 
  • Statistical models (math background),
  • Data Science with Math;
  • Cloud;
  • How Models are built (templates);
  • Custom-built models;
  • Ideally building models in FS arena;
  • Predictive analytics;
  • Not GenAI but standard AI Algorithms (anomaly detection, linear regression, etc...)
  • English - advanced (spoken and written);
  • Pro-active and Team Oriented approach;
  • Ability and willingness to learn new technologies;
  • Position is suitable for an engineer who is experienced with standard AI mathematic models 
  • Position is not suitable for students or Junior Engineers.

Not checking every single requirement?

If this role sounds good to you, even if you don't meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.

Let's meet and you may just be the right candidate for one of our roles.

At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.

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