Data Scientist

2 weeks ago

Birmingham, Birmingham, United Kingdom SF Technology Solutions Full time
Data Science Role

As a Data Scientist at SF Technology Solutions, you will play a pivotal role in advancing our business data capabilities by applying advanced analytical methods and machine learning techniques to solve core business problems. Your work will enable data-driven decision-making and support the transition to a more data-centric approach.

Data Science & Advanced Analytics

Apply machine learning techniques and statistical analysis to drive data-driven solutions, optimizing business processes and decision-making. Design, develop, and deploy data models and pipelines, ensuring seamless integration into existing systems.

Work closely with Business Partnering to translate business needs into data science requirements, ensuring alignment with strategic goals. Partner with product and commercial teams to integrate data science models into data products, enhancing value for our customers.

Model Development & Deployment

Develop and deploy machine learning models, ensuring their accuracy, scalability, and alignment with business objectives. Implement model monitoring and evaluation techniques, such as A/B testing, to validate model performance and refine as necessary. Maintain thorough documentation of data science processes, models, and outcomes to ensure transparency and reproducibility.

Stay up-to-date with the latest advancements in data science, machine learning, and AI to bring cutting-edge methods to the organization. Identify opportunities for innovation and continuous improvement in the data science function, recommending new tools and techniques.

Risk Management & Compliance

Identify potential risks associated with data science projects, ensuring models are compliant with internal and external data governance and security standards. Collaborate with the Head of Data & Analytics and D&A Manager to mitigate risks and communicate potential impacts to the organization.

The Data Scientist will be responsible for managing relationships with Data & Analytics stakeholders, business stakeholders, and Heads of Function. Business Partnering: to ensure that all data science solutions are aligned with business needs and goals. Project & Transformation Teams: to integrate data science models into broader business transformation initiatives. Enterprise Architecture & IT: to ensure data models align with the company's data architecture and technological standards.

Key Performance Indicators

Model Performance: High accuracy and robustness of deployed models, demonstrated through improved decision-making and business outcomes. Positive feedback from stakeholders on the clarity and impact of data science insights. Adoption of innovative data science techniques and tools that enhance the organization's data capabilities.

Demonstrable experience in data science, advanced analytics, or a related field, with a focus on building and deploying predictive models. Strong proficiency in programming languages such as Python or R, and experience with libraries like scikit-learn, TensorFlow, or PyTorch. Hands-on experience with data visualization tools (e.g., Power BI, Tableau) and the ability to present complex data in an accessible way. Problem-solving skills and a proactive approach to identifying opportunities for applying data science to business challenges.

Build strong relationships across functions and communicate data insights clearly. Continuously explore new methodologies and techniques in data science. Technical Excellence: Demonstrate a strong understanding of data science principles and best practices.

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