As a Professional Services Consultant you will be responsible for the successful delivery of implementation of our data management solutions of our wider Prophet actuarial risk ecosystem. We are looking for a Data Scientist to analyze large amounts of raw information to find patterns. We will rely on you to build data products to extract valuable business insights. In this role, 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.
You will initially focus on customizing and deploying our data management software and implementing data solutions and reporting for our clients. In this capacity, qualified candidates maintain a deep, intimate knowledge of the product and deliver consultancy, solutions, and support to our clients.
About the team
The Prophet Professional Data Management Practice enables businesses to transform data into easily consumable formats for use in business intelligence or corporate databases. The mapping process supports the inclusion of process information alongside the reporting data for more transparent governance. The data mappings and data schema can be adapted to meet the changing needs of the business. You will join a team of data specialists, data management consultants and database specialists.
The following key objectives and outcomes are integral to the position:
- Identify relevant data sources and sets to mine for client business needs, and collect large, structured datasets and variables
- Analyze data for trends and patterns, and Interpret data with a clear objective in mind
- Implement analytical models into production by collaborating with data team.
- Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
- Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
- Deliver against your own and the overall team and division revenue and utilization (client billed hours) targets.
- Capitalize on that engagement, your expertise and our offerings to generate new revenue opportunities, liaising with our presales and sales team to help fully qualify them.
- Face new challenges and situations, provide concrete illustrations of your engagement and ability to anticipate, be proactive, take initiative, qualify a problem or challenge and come with (creative) solutions.
- Be active with the development and growth of our products, professional service Catalog (building new services, improving existing ones) and toolkits.
- The ability to present to and train key resources of a client.
- The ability to work independently. We are one team striving to achieve results together, each member of the team needs to be able to work on their own. This means moving topics forward to the best of your ability without constant supervision, identifying and communicating when you need support or help, and adequately engaging colleagues and managers as required.
Key Qualifications:
- Minimum of three years of experience as a Data Scientist
- Proficiency with data mining, mathematics, and statistical analysis
- Advanced pattern recognition and predictive modeling experience
- Advanced experience with:
- Python (including libraries like: Pandas, Matplotlib, NumPy, SciKit etc.)
- SQL and data modelling
- PowerShell
- Experience with data visualization tools, such as Tableau or PowerBI etc.
- Data-oriented and problem-solving personality
- Comfort working in a dynamic, goal-oriented group with several ongoing concurrent projects and working from home
- Ability to engage various internal or external stakeholders at various hierarchical level.
- Ability to communicate effectively in a variety of written and verbal formats.
What we offer you:
- A work environment built on collaboration, flexibility and respect
- Competitive salary and attractive range of benefits designed to help support your lifestyle and wellbeing (including private healthcare, 27 days of vacation, work from home, etc.)
- Varied and challenging work to help you grow your technical skillset