#JR011236
tarts here.** Here you will be a part of a team that encourages you to master your craft, ask tomorrow's questions today, and chart your path. Our associates focus on client impact with curiosity and a relentless commitment.
Join our team and make a big difference in how our company works. As a Data Scientist, you will work with different teams to understand their needs, create new statistical models, and share your findings with everyone. Your work will help make our business processes smarter with useful insights from data. We combine Large Language Models (LLMs) with Data Science to create innovative solutions. Our products are used all over the world and make a real impact.
About the role and what you'll be doing:
Collaborate with other teams to develop an understanding of needs.
Research and devise innovative statistical models for data analysis.
Communicate findings to all stakeholders.
Enable smarter business processes by using analytics for meaningful insights.
Keep current with technical and industry developments.
Responsibilities:
Serve as an expert to identify and integrate new datasets that can be leveraged through our product capabilities and work closely with the engineering team in the development of data products.
Execute analytical experiments to help solve problems across various domains of our business.
Identify relevant data sources and sets to mine for client business needs and collect large structured and unstructured datasets and variables.
Devise and utilize algorithms and models to mine data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
Analyse data for trends and patterns and interpret data with clear objectives in mind.
Implement analytical models in production by collaborating with software developers and machine-learning engineers.
Develop and maintain applications using Python, ensuring integration with Snowflake or similar databases.
Utilize large language models (LLMs) such as OpenAI for advanced data analysis and insights.
Work on predictive and forecasting models based on existing data to provide actionable insights.
Monitor and maintain ETL processes, ensuring data quality and consistency.
Collaborate with cross-functional teams to refine and retrain predictive models using new data.
Required skills and qualifications:
Three or more years of experience in data science.
Proficiency with data mining, mathematics, and statistical analysis.
Advanced experience in pattern recognition, classification and predictive modelling.
Experience with Excel, PowerPoint, Power BI, SQL.
Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.
Experience with Snowflake or similar database technology.
Experience in application development using Python.
Experience with large language models (LLMs) such as OpenAI.
Preferred skills and qualifications:
Bachelor's degree (or equivalent) in data science, statistics, applied mathematics, or related discipline.
Understanding of IT Service Management processes (nice to have).
Strong logical thinking and a broader view approach to problem-solving.
Professional certification in data science or related fields.
What we offer
We will give you a place to strive and grow, where you will have the opportunity to work on interesting, yet challenging projects. Applying your thinking to build a better world founded on intelligent technologies. We are a people-first business, which means people are at the heart of everything we do here. We offer our consultants a safe environment where knowledge-sharing and open communication is encouraged. Whether at one of the internal monthly events, such as Lunch & Learns, Tech Time, and internal competency meet-ups, or one of our community groups, such as football, gaming, yoga, or well-being; we have strived to build a business where everyone feels welcomed, included, and valued.
Benefits
We believe that great work deserves great rewards. In return for your ideas, commitment and ambition, we'll give you a very competitive base salary and a range of benefits as soon as you join. On top of your highly competitive base salary, we offer:
Flexible and remote work opportunities
Performance bonus
Training and development programs
Worldwide career opportunities
Community outreach and mentoring opportunities
Learning platforms
My Benefit system
Wellness Platform support from Virgin Pulse
Associate equity program
Life insurance
Lunch card
Study leave
One paid day off for charity events
Sabbatical
Extended parental leave
Co-financing of office equipment
Referral bonus program
JR011236