What Jobs are available for Data Scientists in New Zealand?

Join Europe's leading, high-growth Google Cloud consultancy. At Qodea, you’ll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We’re driven by ideas and powered by our people.

We are looking for a Senior Data Scientist to join our professional services team. 

We really value in-person collaboration, so we're looking for you to spend at least 60% of your time on-site. This means being at our company offices or at a client's site.

The purpose of this role is to advance clients' technical environments by designing and deploying innovative machine learning-based models and AI solutions that directly deliver measurable value for their organizations.

• Strong grasp of statistics and probability fundamentals
• Solid understanding of machine learning algorithms for supervised and unsupervised learning
• Understanding of Transformer based models
• Experience developing AI agents
• Strong Python and SQL skills
• Experience with Cloud ML tools and version control (e.g. git)
• Experience with MLOps
• Collaborative, proactive, logical, methodical, and attentive to detail
• Excellent communication skills (verbal and written)
• Collaborate with clients to understand their business problems and design technical solutions using machine learning models
• Develop and deploy machine learning models on Google Cloud
• Use version control and agile working practices
• Stay up-to-date with the latest developments in machine learning and bring new ideas to the team.

Requirements

• Demonstrates adeptness in persuasive communication and making requests while maintaining harmonious relationships
• Provides valuable feedback and acknowledges achievements in a constructive manner
• Utilizes diverse influencing techniques to achieve goals
• Possesses exceptional conflict resolution skills and can effectively negotiate in difficult situations
• Maintains a delicate balance between personal and team objectives
• Displays sensitivity to the needs of others and readily offers assistance when needed
• Capable of independently developing data solutions using appropriate tools and techniques
• Exhibits a comprehensive understanding of the data landscape and adapts quickly to new subject areas
• Adept at evaluating and incorporating new technologies into existing solutions
• Provides expert advice and support to customers in defining effective solutions
• Skillfully gathers and synthesizes information from project team members and delivers concise updates to stakeholders.

Exceptional performance in this role can lead to advancement opportunities within our career framework or internal opportunities with other business areas, aligned with your career aspirations and business needs.

Potential career development could include progression to the next level or cross-skilling into related roles, such as Principal or Lead Data Scientist.

Benefits

• Financial:

• Competitive base salary.
• Matching pension scheme (up to 5%) from day one.
• Discretionary company bonus scheme.
• 4 x annual salary Death in Service coverage from day one.
• Employee referral scheme.
• Health and Wellbeing:
• Private medical insurance from day one.
• app: access to remote GPs, second opinions, mental health support, and physiotherapy.
• EAP service
• Cycle to Work scheme.
• Time Off and Flexibility:
• 36 days annual leave (inclusive of bank holidays).
• An extra paid day off for your birthday.
• Ten paid learning days per year.
• Flexible working hours.
• Market-leading parental leave.
• Sabbatical leave (after five years).
• Work from anywhere (up to 3 weeks per year).
• Development and Recognition:
• Industry-recognised training and certifications.
• Bonusly employee recognition and rewards platform.
• Clear opportunities for career development.
• Length of Service Awards
• Extra Perks:
• Regular company events.
• Tech Scheme.

At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all. If you feel we can improve in any way, please reach out to our careers team via email at or connect with us on LinkedIn via our Qodea Company Page .

• Deep dive analysis: Conduct deep-dive analysis into customer portfolio trends to identify root causes of debt accumulation, enabling preventative measures to be implemented.
• Create and refine predictive models: Develop and refine predictive models and analytical frameworks to improve credit risk assessment and optimise debt recovery strategies.
• Deliver bad debt improvements: Support the Bad Debt Transformation programme by providing data-led insights that drive operational improvements and policy recommendations.
• Transition to the Data Lake:  Support the transition to a data lake environment, allowing us to link together big data sets and unlock insights that we have not had available to us before.
• Create and maintain new reporting: Develop new reporting solutions using SQL to drive actionable insights, enhancing debt management strategies.
• Champion data-driven decision making: Partner with key stakeholders to embed a culture of data-driven decision-making within the Income function, ensuring analytics remain at the heart of business strategy.

• Proven experience in credit risk analytics, debt management, or financial modelling, preferably within a collections or customer income function.
• Strong background in applying data science techniques to real-world business problems, with demonstrable experience in predictive modelling and statistical analysis.
• Hands-on experience with SQL for querying, data extraction, and reporting, with a focus on efficiency and maintainability.
• Proficient in working in cross-functional teams, collaborating with stakeholders to translate complex data insights into actionable strategies.
• Advanced proficiency in SQL for data querying, reporting, and optimisation. Ability to write high-quality, efficient, and maintainable SQL code for queries, ensuring scalability and long-term usability.
• Strong programming skills in Python and/or R for data manipulation, modelling, and visualisation.
• Familiarity with cloud-based data platforms and tools, such as Azure Data Lake, AWS, or Google Cloud.
• Degree, or equivalent experience, in a quantitative field such as Data Science, Mathematics, Statistics, Computer Science, or related discipline.
• Strong working knowledge of Microsoft Office products, specifically Excel.

• Prior involvement in transitioning data environments, such as migrating from traditional databases to a data lake architecture.
• Experience within Utilities or Financial Services.

• Competitive starting salary of £53,910 per annum.
• Annual leave: 26 days holiday per year, increasing to 30 with the length of service. (plus bank holidays).
• Performance-related pay plan directly linked to both company and individual performance measures and targets.
• Generous Pension Scheme through AON.
• Access to lots of benefits to help you take care of you and your family’s health and wellbeing, and your finances – from annual health MOTs and access to physiotherapy and counselling, to Cycle to Work schemes, shopping vouchers and life assurance.