Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The Senior Data Scientist role involves designing and implementing advanced machine learning algorithms and statistical models to address complex business challenges. The position requires collaboration with stakeholders to extract insights from large datasets and ensure compliance with data governance standards. The ideal candidate should possess strong programming skills in Python and SQL, along with experience in a data-rich environment, particularly in marketing. This role is a temporary contract with the potential for permanent placement.
Key Responsibilities:
- Design, develop, and implement advanced machine learning algorithms and statistical models.
- Extract actionable insights from large datasets to guide business decision-making.
- Collaborate with stakeholders to understand data science requirements and integrate solutions.
- Ensure models are fair, explainable, and compliant with regulations.
- Manage and deliver projects on time and to high standards.
- Participate in agile project management and adapt to changing priorities.
Key Skills:
- Strong programming skills in Python and SQL.
- Expertise in machine learning, statistical modeling, and data analysis.
- Excellent communication skills for conveying complex concepts.
- Experience with big data technologies and cloud platforms, ideally Azure.
- Curiosity and drive to learn new technologies and methods.
- Experience in an agile working environment.
- Familiarity with data visualization tools like Tableau.
- Master's degree in a quantitative field such as Computer Science or Statistics.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Senior Data Scientist (Python, SQL, Chatgpt, SNOWFLAKE – London)
Daily Rate: £500 per day
Temp to Perm role – contract is 2-3 months
Perm Salary: £65,000 - £75,000 per annum
Role Responsibility
Our Senior Data Scientist will be fully accountable for the following areas;
- Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies.
- Insights and Reporting: Extract actionable insights from large, complex datasets to guide business decision-making.
- Collaboration with Stakeholders: Working closely with business stakeholders and technical colleagues to understand data science requirements and integrate data science solutions into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts. From start to finish of every project.
- Data Strategy and Model Governance: Collaborate with cross-functional teams to execute the company's data strategy. Ensure models are fair, explainable and in compliance with relevant regulations and policies.
- Project Management – Manage and deliver projects on time, to high standards.
- Agile ways of working - Demonstrate experience in working in an agile environment, participating in sprint planning, and adapting to changing priorities.
The Ideal Candidate:
Working as a Senior Data Scientist you will need to demonstrate the following skills and experience;
- Previously worked in a data science role for a large data rich organisation, with a track record of independent project delivery.
- Can demonstrate previous experience of working in a marketing domain or have the desire and enthusiasm to move into this area.
- Must be able to demonstrate strong programming skills in languages such as Python and SQL. (A technical task will form part of the interview process.)
- Already be a credible expert in machine learning, statistical modelling and data analysis.
- Demonstrate excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders – providing business recommendations within a marketing-based field.
- Experience with big data technologies and cloud platforms, ideally Azure.
- A curious nature, with the drive to learn and master new tech and methods.
Desirable;
- Previously worked in an agile working environment, with a focus on iterative and collaborative project delivery.
- Have worked with data visualisation tools e.g. Tableau.
- Experience in model monitoring. (MLOPS experience would be desirable.)
- Have gained a master's in a quantitative field such as Computer Science, Statistics or related disciplines.