Senior / Lead Data Scientist

vor 2 Monaten

Central Coast, Österreich Tideri Jobbörse Vollzeit

At Neilson, we're reimagining the future of data-driven insights with our pioneering division, DataWorks .
As a cutting-edge division within the Neilson Group, DataWorks harnesses the latest advancements in AI, machine learning, and predictive analytics to empower growth across diverse markets and deliver next-generation solutions in Business Intelligence, Analytics, Data Science, and Actuarial science.
Our team, based in the UK and Australia, is at the forefront of digital transformation, using data to unlock powerful insights and drive competitive advantage on a global scale.

As part of a vibrant and forward-thinking environment, DataWorks combines the agility and innovation of a high-tech AI startup with the backing of a trusted, established provider.
We develop sophisticated solutions with the latest in time-series forecasting, large language models (LLMs), and advanced machine learning, pushing the boundaries of what's possible in analytics.
Recognized for excellence in customer service, we're committed to delivering a high-quality, fully integrated experience for our clients and partners worldwide.

Job Description We are looking for a Senior Data Scientist to join DataWorks, where you'll lead game-changing projects involving AI, machine learning, and predictive modelling.
You will play a key role in innovating within the fields of time series forecasting and LLMs, helping us deliver cutting-edge solutions.
A strong mathematical foundation and experience in production-level deployment will make you a driving force in our mission to shape the future of analytics.
Join us to transform data into insight, and insight into global impact.

Key Responsibilities:
Lead the design, development, and implementation of data science models, responsible for designing and delivering technically complex Data Science and Artificial Intelligence (AI) initiatives that produce significant business value.
Utilize advanced techniques in machine learning, deep learning, and causal inference to drive business insights and optimize performance.
Collaborate with cross-functional teams to understand business needs and translate them into actionable data science solutions.
Develop production-level code using Python, ensuring scalability and integration with cloud platforms such as AWS, GCP, or Azure.
Use SQL and ETL processes to manipulate and extract data from relational databases.
Communicate findings and insights effectively to both technical and non-technical stakeholders.
Provide mentorship to junior team members and contribute to the overall growth of the analytics team.
The Successful Candidate:
Significant, demonstrable experience in data science or analytical roles.
You will have a track record of achievement in data science, analysis, applied statistics or machine learning.
Advanced Technical Skills: Expert-level knowledge of machine learning algorithms, model development, and deployment, with proficiency in at least one programming language (e.g., Python, R) and one database querying language (e.g., SQL).
Experience with visualization tools like PowerBI is a plus.
Business Acumen: Strong ability to align technical solutions with business strategy, and to communicate complex findings to senior stakeholders.
An academic background in statistics, mathematics, computer science, actuarial studies or similar is required.
You will have experience working in a cloud (AWS / GCP / Azure) environment.
You will have demonstrated clear and thorough logical and analytical thinking, as well as problem-solving skills and high attention to detail.
Project Management: Experience in managing large, complex projects or multiple concurrent projects, including setting timelines, deliverables, and navigating resourcing challenges.
Why Join Us: Work in a dynamic and innovative team driving real business impact.
Opportunities for professional growth and development in a leadership role.
Collaborative culture and cross-functional engagement with various teams and stakeholders.
Competitive salary and benefits.
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