Data Scientist

About The Company Prospec Associates is a distinguished engineering consultancy renowned for delivering innovative solutions across various technical sectors. With a strong reputation for excellence and a commitment to leveraging cutting-edge technology, Prospec Associates serves a diverse client base that includes manufacturing, engineering, and industrial sectors. The company prides itself on fostering a collaborative environment that encourages professional growth and continuous learning, ensuring that clients receive the most effective and innovative solutions tailored to their unique needs. As a forward-thinking organization, Prospec Associates is dedicated to integrating advanced data science techniques to enhance engineering processes and operational efficiencies. About The Role We are seeking an experienced Data Scientist to join our dynamic team on a contract basis outside IR35. This role offers the flexibility of 100% remote work, allowing you to contribute your expertise from anywhere. The Data Scientist will play a pivotal role in analyzing complex data sets, developing sophisticated models, and delivering actionable insights that provide our clients with a competitive edge. The ideal candidate will have a strong background in computer vision, statistical modeling, and machine learning, with the ability to translate complex data into clear, meaningful insights for both technical and non-technical stakeholders. Collaboration with cross-functional teams, including software engineers and project managers, will be essential to successfully integrating data-driven solutions into real-world applications. Qualifications The successful candidate will possess a proven track record as a Data Scientist with extensive experience in Python and its libraries such as Numpy, Pandas, Scikit-Learn, Matplotlib, and Plotly. A solid understanding of statistical modeling, machine learning, and data mining techniques is essential. Hands-on experience in computer vision is a critical requirement for this role. Familiarity with data engineering tasks, including pipelines, databases, and infrastructure, preferably with AWS experience, will be advantageous. Candidates should have experience in data analysis, visualization, and cleansing, with a focus on applying these skills within engineering, manufacturing, or industrial contexts. A degree in Computer Science, Mathematics, Statistics, Data Science, or a related field is mandatory. Responsibilities

• Work closely with cross-functional teams to identify key business problems and translate them into data-driven solutions.
• Develop and implement algorithms and statistical models to analyze and interpret complex datasets.
• Collaborate with software engineers to ensure seamless integration of models into production environments.
• Communicate insights, findings, and recommendations effectively to both technical and non-technical stakeholders.
• Ensure the highest standards of data quality and accuracy in all deliverables.
• Monitor and optimize the performance of models and algorithms continuously.
• Stay informed about emerging trends, tools, and technologies in data science to maintain a cutting-edge approach.

Benefits Prospec Associates offers a flexible and supportive work environment that promotes professional development and growth. As part of this role, you will have the opportunity to work on innovative projects that have a tangible impact on engineering and industrial operations. The company provides competitive contract rates, along with the flexibility of remote working to ensure a healthy work-life balance. Additionally, you will be part of a collaborative team that values your expertise and encourages continuous learning, with access to resources and training to enhance your skills further. Equal Opportunity Prospec Associates is an equal opportunity employer. We are committed to creating an inclusive environment where all employees and applicants are treated with respect and fairness. We celebrate diversity and are dedicated to providing equal employment opportunities regardless of race, gender, age, religion, sexual orientation, disability, or any other protected characteristic. We believe that a diverse workforce enhances innovation and drives better business outcomes, and we actively encourage candidates from all backgrounds to apply.