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BI Data Modeler

Regent College London
London
10 months ago
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Job Title: Data Scientist Department: Data Science / Analytics - AIR Salary : Competitive based on experience and market trends AI Regent is a forward-thinking organization that wishes to invite individuals that have used cutting-edge technology to drive impactful insights and deliver value through data. As we continue to expand, we are seeking a talented and passionate Data Scientist to join and lead our newly founded Data Science team. The ideal candidate will leverage their expertise in statistical analysis, machine learning, and data-driven decision making to transform complex data into actionable insights. As a Data Scientist , you will play a pivotal role in analyzing large and complex datasets, building predictive models, and developing algorithms to optimize business strategies. Working closely with cross-functional teams, you will drive data-driven decision-making and contribute to the company’s overall strategic objectives. You will be responsible for using data to uncover trends, make predictions, and provide actionable recommendations that drive business outcomes. Data Analysis & Exploration: Analyze structured and unstructured data from various sources to identify trends, patterns, and anomalies. Clean, preprocess, and transform raw data into usable formats, ensuring high data quality. Design, develop, and deploy machine learning models to address business problems such as predictive analytics, classification, recommendation systems, etc. Experiment with different algorithms and techniques, continuously improving model performance. Apply statistical techniques and data mining methods to extract valuable insights. Create clear and effective data visualizations and dashboards to communicate findings to stakeholders. Work closely with business analysts, product teams, and engineers to understand business needs and translate them into data science solutions. Provide expert guidance on best practices for data management, model selection, and performance monitoring. Monitor the performance of deployed models and make adjustments as necessary. Stay up-to-date with the latest trends and advancements in data science, AI, and machine learning. Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field. ~2-4 years of hands-on experience in data science, analytics, or a similar role. Proficiency in Python, R, or another programming language used for data science. Experience with machine learning libraries (e.g., Strong knowledge of data manipulation and analysis using libraries such as Pandas, NumPy, and SQL. Experience with data visualization tools such as Tableau, Power BI, or similar. Familiarity with cloud computing platforms (AWS, Google Cloud, Azure) is a plus. Understanding of statistical techniques such as regression, classification, time-series analysis, etc. Strong problem-solving skills with an ability to translate business problems into data science solutions. Familiarity with Big Data technologies (e.g., Hadoop, Spark) and data pipelines. Experience working in an agile environment or with DevOps practices. Experience with Natural Language Processing (NLP) or computer vision is a plus. Why AI Regent? Contribute to projects that have a real-world impact on the business and its customers. Growth: Opportunity to grow a newly formed team and develop your skills in a fast-paced, dynamic environment. Innovation: Work with a team of passionate and talented individuals using the latest technologies in AI and data science. To Apply: Please submit your resume, cover letter, and any relevant project portfolios or GitHub repositories to staff-recruitment@regentgroup.

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