Data Scientist

About The Company Prospec Associates is a renowned engineering consultancy specializing in delivering innovative solutions across various technical engineering sectors. With a proven track record of excellence, the company provides expert consultancy services to clients in industries such as manufacturing, infrastructure, energy, and technology. Prospec Associates prides itself on its commitment to quality, innovation, and sustainability, ensuring that each project is executed with precision and professionalism. The organization values continuous learning and fosters a collaborative environment that encourages creative problem-solving and technical advancement. About The Role Prospec Associates is seeking an experienced Data Scientist to join their dynamic team on a contract basis outside IR35. This role is fully remote, offering flexibility and the opportunity to work from anywhere. The Data Scientist will play a pivotal role in analyzing complex datasets to derive actionable insights that provide clients with a competitive advantage. The ideal candidate will have a strong background in developing data-driven solutions, designing models, and communicating findings effectively to both technical and non-technical stakeholders. This position offers an exciting chance to contribute to cutting-edge projects in a fast-paced environment, leveraging advanced data science techniques to solve real-world engineering challenges. Qualifications The successful candidate will possess a solid educational background with a degree in Computer Science, Mathematics, Statistics, Data Science, or a related field. Proven experience as a data scientist, particularly using Python and its extensive libraries such as Numpy, Pandas, Scikit-Learn, Matplotlib, and Plotly, is essential. The candidate should demonstrate expertise in statistical modeling, machine learning, and data mining techniques. Experience with data engineering tasks, including building pipelines, managing databases, and working with cloud infrastructure such as AWS, is highly desirable. Additionally, familiarity with applying data science within engineering, manufacturing, or industrial contexts will be advantageous. Strong analytical skills, attention to detail, and excellent communication abilities are critical for success in this role. Responsibilities

• Work collaboratively with cross-functional teams to identify business challenges and translate them into data-driven solutions.
• Develop and implement algorithms and statistical models to analyze and interpret complex datasets, ensuring accuracy and relevance.
• Collaborate with software engineers to integrate data models into production environments, ensuring seamless deployment and scalability.
• Communicate insights, findings, and recommendations clearly to both technical and non-technical stakeholders, facilitating informed decision-making.
• Maintain high standards of data quality and integrity across all deliverables, ensuring reliability and consistency.
• Continuously monitor and optimize the performance of models and algorithms, incorporating feedback and new data as needed.
• Stay current with emerging trends, tools, and methodologies in data science to enhance analytical capabilities and maintain a competitive edge.

Benefits Prospec Associates offers a flexible and supportive work environment, emphasizing professional growth and development. As a remote role, it provides the opportunity to maintain a healthy work-life balance. The company values its employees and provides competitive remuneration packages, along with access to ongoing training and development programs. Working with a diverse range of projects and clients allows for continuous learning and skill enhancement. Additionally, the role offers the chance to contribute to impactful engineering solutions that influence various sectors and drive technological innovation. Equal Opportunity Prospec Associates is an equal opportunity employer committed to fostering an inclusive environment for all employees and applicants. We celebrate diversity and are dedicated to creating a workplace that respects and values individual differences. We do not discriminate based on race, ethnicity, gender, age, disability, sexual orientation, religion, or any other protected characteristic. All qualified candidates will receive consideration for employment without regard to these factors, and we encourage applications from individuals of diverse backgrounds and experiences.