Data Scientist - Berry Domestic

Costa is a global leading grower, packer, and marketer of

premium quality fresh fruit and vegetables. Our success is built on a

commitment to excellence, innovation and sustainability across every part of

our business.

Within Costa's Domestic Berry Category, innovation and

continuous improvement are key drivers of success. We are seeking a Data

Scientist to join our team on a 9-month maternity leave contract, helping us

unlock the value of data and support smarter decision-making across our berry

operations. Reporting to the National Transformation Manager, this role forms

part of our Continuous Improvement team and is based in Woolgoolga, NSW.

Why Join Costa?

At Costa, our people are our

strength. When you join us, you'll enjoy:

• Being part of Australia's leading horticultural

  business

• Competitive salary, supportive management and a

  collaborative team culture

• Opportunities to work on meaningful projects that

  directly influence business performance

• Exposure to advanced analytics, technology and

  continuous improvement initiatives

• A diverse workforce in a dynamic and innovative

  environment

• The opportunity to make a tangible impact through

  data-driven decision-making

What We Are Looking For

We are seeking a highly analytical

and commercially minded Data Scientist who is passionate about solving complex

problems and uncovering insights from data.

Working closely with operational and business stakeholders,

you will identify opportunities to leverage data, develop predictive models,

and deliver practical solutions that improve productivity, efficiency and

commercial outcomes. You will be comfortable working with large datasets,

communicating technical findings to a broad audience and driving business

results through data-based insights.

This role will suit someone who enjoys balancing technical

expertise with strong stakeholder engagement and is motivated by the

opportunity to influence decision-making across a large and diverse operation.

What You'll Do

• Partner with stakeholders across the business to

  identify opportunities to leverage data and improve business outcomes

• Analyse

  large and complex datasets to support process optimisation, harvest

  techniques and business strategy development

• Develop and implement predictive models, algorithms

  and analytical tools

• Assess and improve the effectiveness and accuracy

  of data collection methods and data sources

• Design, develop and evaluate testing frameworks to

  validate model performance

• Coordinate with operational and functional teams to

  implement data-driven solutions

• Monitor, maintain and enhance analytical models and

  reporting tools

• Present insights and recommendations that support

  decision-making and continuous improvement initiatives

• Promote and contribute to Costa's health, safety

  and continuous improvement culture

**What You'll

Bring**

• Experience in a Data Scientist or similar

  analytical role, demonstrating successful project delivery and measurable

  results

• Tertiary qualifications in Statistics, Mathematics,

  Computer Science, Data Science or a related discipline

• Experience using statistical and analytical tools

  to manipulate data and generate meaningful insights

• Strong knowledge of machine learning techniques,

  predictive modelling, regression analysis, simulations and advanced

  analytics

• Experience developing and implementing data models,

  algorithms and analytical solutions

• Excellent communication skills with the ability to

  engage and influence a wide range of stakeholders

• Strong project management, organisational and

  problem-solving skills

• Ability to translate complex data into practical

  recommendations and business outcomes

Applications

Applications

will be reviewed as they are received, so don't wait to apply.

This is a

full-time, fixed-term maternity leave 9-month contract, based in

Woolgoolga, NSW.

Join Costa and

help drive innovation and continuous improvement through data, analytics and

technology.

Applicants must

hold full Australian working rights to be considered for this role.