Data Scientist

This position offers you the opportunity to join a fast-growing technology organization that is redefining productivity paradigms in the software engineering industry. If you are passionate about technology and want to learn about new trends that are shaping human behavior, this opportunity is for you. 

As a data Scientist, you will be part of a team responsible for building and machine learning products for client-facing platforms

The impact you'll make:

• You will develop quantitative models and data products to address critical business challenges using predictive and prescriptive techniques.
• You will translate business needs into mathematical solutions, collaborating closely with stakeholders to gather and understand requirements.
• You will implement and deploy machine learning (ML) and optimization algorithms at scale within digital tools in production.
• You will integrate ML algorithms with databases, APIs, and user interfaces to ensure seamless operation in production environments.
• You will build and maintain dashboards, reports, and metrics from live, historical, and predictive data to support informed decision-making.
• You will source and ensure the integrity of data from multiple systems to generate insights for digital tools.
• You will deepen your understanding of complex business processes to create effective digital solutions aligned with business goals.
• You will manage a portfolio of tasks within an agile team, focusing on timely, impactful project delivery and adherence to best practices.
• You will communicate insights and technical concepts effectively to both technical and non-technical stakeholders.
• You will embrace continuous learning in data science and contribute to a culture of innovation and continuous improvement within the team.

What you'll bring to us:

• 2-4 years of relevant experience as a data scientists applying analytics, data science or operational research skills at scale
• Technical expertise in analytical tools, modeling, SQL, Python (required), and other programming languages (preferred).
• Numerate degree with large amount of the content covering data science, advanced analytics and/or operational research
• Advanced analytical skills in data science, analytics, and Operational Research, with expertise in applying modeling techniques and tools like SQL and Python.
• Strong ability to define business problems, scope analysis, and identify key stakeholders for delivering targeted insights.
• Excellent communication and influencing skills, capable of presenting complex issues, highlighting key insights, and guiding decision-makers.
• Effective project management, independently handling multiple projects from start to finish, prioritizing work to meet business needs.
• Team-oriented, proactively sharing knowledge, receptive to feedback, and proficient in Microsoft Office, especially Excel and PowerPoint.

Location:

Hybrid model at the office located in Hayes (West London)

Frequency: The employee must be available for up to 20-25% office presence (2-3 days per week), based on client needs.

Some of the benefits you’ll enjoy working with us:

• The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
• The opportunity to form part of an amazing, multicultural community of tech experts.
• A highly competitive compensation package.
  
• Medical insurance.

Come and join our #ParserCommunity. 

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