Senior Data Scientist

About the Role

Our client is actively seeking a talented Senior Data Scientist to join their innovative IT and Software division in Manchester . This role is central to driving data-informed decision-making across the organization by leveraging advanced analytical techniques and machine learning models. You will work with large, complex datasets to extract actionable insights, build predictive models, and contribute to strategic business initiatives. This is an exceptional opportunity for a motivated individual to lead cutting-edge data science projects and influence the company's data strategy in a supportive and intellectually stimulating environment.

Key Responsibilities

• Develop and implement sophisticated machine learning models and statistical analyses to solve business problems.
• Explore, clean, and transform large, complex datasets from various sources.
• Design and conduct experiments to test hypotheses and evaluate model performance.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
• Stay abreast of the latest advancements in data science , artificial intelligence, and machine learning.
• Collaborate with engineering teams to deploy models into production environments.

Requirements

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
• Minimum of 5 years of experience in data science or a closely related field.
• Strong proficiency in programming languages like Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
• Demonstrated experience with big data technologies and distributed computing frameworks (e.g., Spark).
• Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent analytical, problem-solving, and communication skills.

Benefits

• An attractive, negotiable salary with excellent bonus potential based on performance.
• Comprehensive health, dental, and life insurance coverage.
• Significant budget for continuous professional development, including conferences and courses.
• Flexible working hours and a fully remote work option for eligible candidates.
• Access to cutting-edge technology and a collaborative research-driven culture in Manchester .