Offer summary

Qualifications:

Bachelor's degree in computer science or related field., Experience in data mining and machine learning., Proficiency in R, SQL, and Python; familiarity with Scala, Java, or C++., Strong analytical, mathematical, and problem-solving skills..

Key responsabilities:

Identify and automate data collection processes.

Preprocess structured and unstructured data for analysis.

Build predictive models and machine-learning algorithms.

Collaborate with engineering and product teams to propose data-driven solutions.

Digital innovation for humanity. Persontyle AI is your digital transformation partner to design, build and scale humanity-centred applied AI. Born from the idea of creating an human-centric AI and design services company that delivers transformational results and sustainable value for people and industries. We provide strategy, design, and talent development services for applied artificial intelligence, industrial internet of things (IIoT) and enterprise blockchain technology platforms. We believe AI, not one technology, it's a set of technologies and building blocks, should be augmentative and enhancing human potential. Persontyle AI partners with organizations, and individuals who share our view that, when designed and implemented carefully, AI can enhance human potential and transform the way the world works and lives. To learn more about our services and education programs please get in touch. Persontyle AI is headquartered in London, UK.

Job description

We are looking for a Data Scientists of all levels ( Junior, Middle, Senior), to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. You should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

What you will be doing:

Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams

What you will need:

Strong educational background with a minimum of bachelors in computer science
Experience in data mining
Understanding of machine-learning and operations research
Knowledge of:
- R
- SQL
- Python
Familiarity with either:
- Scala
- Java
- C++
Experience using business intelligence tools and data frameworks i.e.
- Tableau
- Hadoop
Analytical mind and business acumen
Strong math skills i.e.
- Statistics
- Algebra
Problem-solving aptitude
Excellent communication and presentation skills