Servian, is an award winning, regional and global tech consultancy with a rich heritage in Data, DevOps, Digital app dev, Machine Learning and cloud.
We embrace innovation, change, and the positive impact it has for us and our clients. All roles at Servian involve personal and technical development pathways which aim to facilitate your career growth.
We aim to build an employee experience where you will grow more with us, not be drowned out by the loudest voice, and hence we strive to set you up for a career which will have a greater impact.
We are currently looking for a talented Senior Data Engineer with experience in ML.You will be working on exciting and interesting projects, being involved in implementing strategies and delivering on data solutions.
Our consultants are natural problem solvers - they are curious, ambitious and experts in their fields. You will have the opportunity to collaborate and learn from them.
You will be working on exciting and interesting projects, working with our clients to understand their needs and to help shape the engagements that allow Servian to provide services that will meet those needs.
If you have a passion for learning new technologies, want to be tech agnostic, and work with like minded technologists, Servian is the place to grow your career and have fun in the process! About the Role : Machine Learning and Data Engineers at Servian are responsible for bringing experience and thought-leadership in all areas of data.
Your skills will be leveraged by our clients, large and small, across all industries and technologies. Your expertise will guide their overall strategy and vision for data, analytics and AI and deliver on cutting-edge data projects, including machine learning.
Typical Responsibilities :
Discover the business problem to be solved and generate solutions that include Machine Learning
Develop Machine Learning models for diverse business problems
Develop optimisation solutions for business and industry
Architect, build and manage solutions for the establishment of data capabilities including data models, data warehousing
Architect, build and manage solutions for machine learning and analytics platforms in the cloud or on-premise
Design and implement machine learning pipelines. Design and build data ingestion solutions to import data from a variety of enterprise data sources
Develop reports and dashboards
Communicate analysis, insights, and technical solutions.
Analysis of human behaviours
Analysis of business operations and processes
Reporting and communication
Capabilities & Experience :
Strong strategic thinker and problem solver, with technical competency and commercial awareness.
A pragmatic approach to working
Experience in data science, analytics, and statistics
Previous experience working with AI and ML technologies
Solid practical capability with SQL, P / SQL, databases, data modeling
Programming proficiency in Python or R with broad exposure to languages including Java, Scala or C
Knowledge of Cloud environments including Google, AWS, or Azure
Consulting experience would be highly desirable, but not essential
At Servian we believe talented technologists matter, this means we want to help grow your career and develop your passion in the ever changing tech industry.
We were created by technologists, are led by technologists and we strive to build a consulting firm which offers :
A variety of interesting projects, using emerging technologies.
A collaborative environment for talented technologists.
Continuous learning and development across multiple dimensions including technology, leadership and commerciality.
Wellbeing & Benefits
Access to a wide range of internal training sessions, across both technical and consulting skills.
Certifications across all our partner technology vendors.
We provide employees with Life Insurance, Income Protection Insurance and access to an Employee Assistance Program.
Generous Parental leave.
We are proud to have a sociable workplace that values diversity and celebrates achievement with multiple company-wide, social, and family events throughout the year.
Due to Covid-19, all social events are currently virtual.