Motia

Data Scientist

• Partner with stakeholders across the company to understand business priorities, identify opportunities to create measurable customer and business value, and develop data science roadmaps that support strategic objectives.
• Drive impactful outcomes for customers and the business by transforming complex data into actionable insights, recommendations and data products that enable objective decision-making with speed and confidence.
• Promote and champion a data-driven culture by applying advanced analytics, statistics, machine learning, AI, and emerging technologies to solve business problems, improve performance and help the organisation move from reactive reporting to proactive and predictive decision-making.
• Design, develop, deploy and continuously improve predictive, propensity and optimisation models that support customer acquisition, retention, cross-sell, customer lifetime value and margin optimisation.
• Challenge existing ways of working by exploring new methodologies, technologies and AI-driven capabilities, identifying opportunities to improve efficiency, scalability and business outcomes.
• Contribute to the evolution of the organisation's data platform, supporting the implementation and adoption of Microsoft Fabric and helping to establish modern, scalable and trusted data science, engineering and analytics capabilities.
• Work collaboratively with Data Engineering to identify, integrate and operationalise valuable internal and external data sources, ensuring high standards of data quality, governance, accessibility and trust.
• Support the design and development of data pipelines, APIs, data integrations and reusable data assets that enable advanced analytics, machine learning and self-service data capabilities within the Microsoft Fabric ecosystem.
• Create and maintain clear, high-quality documentation for models, methodologies, datasets and projects, ensuring transparency, reproducibility and effective knowledge sharing across teams.
• Work closely with Business Intelligence and Reporting teams to deliver intuitive dashboards, visualisations and data products that effectively communicate insights, recommendations and commercial impacts to technical and non-technical stakeholders.

Business Development Rep

• Actively seek out and identify decision-makers in potential client organisations.
• Drive sales via phone and teams
• Conduct live demos over teams
• Establish positive first impressions, nurture prospects, and assess client needs.
• Maintain communication throughout the sales cycle to keep the company top of mind.
• Promote the company’s brand, solutions, and partnerships.
• Conduct client review meetings, respond to inquiries.
• Develop and secure new accounts to drive business growth.
• Regularly update the sales pipeline and document outcomes for wins and losses.
• Draft relevant proposals for potential customers.
• Stay informed about competitors to maintain a competitive edge.
• Provide comprehensive reports (written and oral) on performance and lost opportunities.
• Maximise revenue, margins, and overall business performance.
• Increase sales across all solutions (e.g., Telematics, Landline & Mobile/IOT).
• Consistently aim to meet or exceed established key performance indicators.
• Develop and execute PR and marketing campaigns.
• Work closely with NPD (New Product Development), technical, and operational teams for product launches and continuous improvement.
• Ensure a positive customer experience in collaboration with the support team.
• Handle other duties and reasonable tasks assigned by management.

Data Scientist

Business Development Executive