Data Science Consultant

As a **Data Science Consultant **you will work alongside data scientists and risk strategy consultants, helping us deliver success on behalf of our customers by providing consulting expertise to customers on our advanced machine learning models and rules-based solutions that predict individual customer behaviours and prevent fraud and financial crime in real-time.

By combining data science fluency with a strong customer focus and consultancy mind-set, you will play a crucial role in ensuring that analytical requirements are properly understood; that optimal analytical solutions to the problems identified are delivered to end-to-end; and that - whether a large, multinational bank or a start-up fintech company - every customer is set up to succeed in fighting fraud and financial crime. The success of our customer projects will depend on you, and you will be the type of person who is excited by the responsibility this entails.

**Day to Day**:
As a small company we hire people with a willingness to adapt to a variable role, so along with the key responsibilities below, we ask for ownership of any other duties as required.
- Support the end-to-end delivery of analytics, facilitating customers and internal teams in preparation for each stage
- Review and lock down project scope by understanding analytical requirements, identifying any misalignment with statements of work
- Drive interactions with customers to understand the problems they want to solve and proposing optimal analytical solutions.
- Educate customers on ARIC, our fraud and financial crime detection platform, and our analytical solutions
- Work with customers to understand the opportunities and constraints of their existing data in the context of our industry-leading analytical solutions.
- Advise and lead the customer through data readiness checks, while understanding common data issues and work with customers to resolve these efficiently.
- Assist internal teams with the development and deployment of statistical models and algorithms for integration with Featurespace products.
- Become an expert in customer data structures and processes as well as route and translate information to internal development teams as required
- Produce materials to feedback analytic results to customers, e.g., in the form of reports, presentations, and visualisations
- Work with customer QA teams to advise on effective analytical testing and supporting test phases
- Support customer Data Science and Analytics groups with their model development and deployment in the ARIC platform
- Prepare for and run project workshops in the analytics and data space
- Evaluate the analytical results on live systems and work with customers to suggest opportunities for improvement where possible
- Provide analytic support and consultancy services to our customers

**Skills and Experience**:
**Must haves**
- Good degree in a scientific or numerate discipline, e.g., in Computer Science, Physics, Mathematics, or Engineering
- Ability to understand complex systems quickly
- Strong, clear, concise written and verbal communication skills
- Familiarity with software engineering practices, including version control and the Unix command line
- Ability to manage and prioritise personal workload
- Experience working with customers to gather complex sets of requirements
- Experience in stakeholder management and managing customer expectations and common challenges
- Working knowledge of Python and experience writing SQL queries
- Knowledge of fundamental machine learning concepts (feature engineering, algorithms, model evaluation, model bias).

**Great to haves**
- Experience in requirements management, business analysis, and a consulting environment
- Experience developing statistical models and analytical algorithms
- Practical experience of the handling and mining of large, diverse, data sets
- Industry experience in financial services, particularly fraud and fraud strategy
- Basic knowledge of event-driven systems and distributed computing for stateful systems

**Reporting Structure**

Line Manager: Lead Data Scientist or Head of Analytics

Senior Manager: Head of Analytics or Global Head of Professional Services

**Additional Information**

Location: Singapore

Role Type: Permanent

Hours: Full-Time