Data Scientist

Our client is seeking a highly skilled Data Scientist to join their dynamic and innovative team. This role offers the opportunity to work on complex, global, and high-profile projects, combining end-to-end risk advisory, investigative, and disputes expertise to deliver holistic solutions. The successful candidate will utilise sophisticated mathematical, statistical, and computer science techniques, including Artificial Intelligence (AI), machine learning (ML), and algorithmic approaches. This is an exciting opportunity to be at the forefront of technological developments in this space, evolving with cutting-edge advancements and playing a pivotal role in the company's research and development arm.

Work on complex, global, and high-profile projects
Utilise sophisticated AI/ML methodologies
Be at the forefront of technological developments

What you'll do:

As a Data Scientist, you will be involved in all stages of a project from data collection to platform development. You will perform data availability assessments, write SQL queries or scripts to query APIs, perform exploratory data analysis, develop robust models and statistical analyses, build complete pipelines potentially working alongside engineers/developers, communicate findings to clients, and incorporate their feedback/domain knowledge to tune a model. You will also support engineers/developers/UI team in building end-to-end solutions.

• Perform data availability/quality assessment and own ETL processes
• Research and acquire data from public sources
• Perform exploratory data analysis, visualize and communicate key findings
• Develop robust models and statistical analyses
• Build complete pipelines and test performance at scale
• Communicate findings to clients and incorporate their feedback to tune a model

What you bring:

The ideal candidate for the Data Scientist role will bring a wealth of technical skills and experience. She should have a degree within a technical discipline such as Math, Physics, Computer Science, Statistics or Economics or demonstrated practical technical experience. She should have at least three years of experience working in a data analytics or data-centric role. Proficiency in SQL and Python is essential. Knowledge of AI/ML concepts and techniques is required along with experience with data wrangling/cleaning in a dataframe package like Python's pandas. The ability to work with Linux/*nix systems, bash scripting, SSH is also necessary.

• Degree within a technical discipline such as Math, Physics, Computer Science, Statistics or Economics or demonstrated practical technical experience
• At least three years of experience working in a data analytics or data-centric role
• Proficiency in SQL and Python
• Knowledge of AI/ML concepts and techniques
• Experience with data wrangling/cleaning in a dataframe package like Python's pandas
• Ability to work with Linux/*nix systems, bash scripting, SSH

What sets this company apart:

Our client is a global leader in the field of data science and analytics. They are committed to delivering innovative solutions to complex business challenges for a diverse range of clients. Their team is at the forefront of technological developments, continuously evolving with cutting-edge advancements. They offer a supportive and inclusive work environment where every team member's contribution is valued. This is an exciting opportunity to be part of a company that values innovation, collaboration, and professional growth.

What's next:

If you're ready to take your career to the next level with a role that offers challenge, innovation and professional growth, don't hesitate!

Apply today by clicking on the link!

Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates