Description
We are seeking a highly skilled and experienced Data Science Team Manager. In this role, you will be responsible for overseeing a team of data scientists, ensuring the delivery of high-quality work, and driving continuous improvement within the team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling, as well as experience managing a team of data scientists. You will collaborate with cross-functional teams to deliver data science products and provide strategic recommendations to optimize business processes and drive growth.
Responsibilities:
- Lead and manage a team of data scientists, providing mentorship and guidance to drive performance and career growth
- Develop and implement data science strategies to support business objectives and drive data-driven decision making
- Collaborate with cross-functional teams to identify and prioritize data science projects
- Oversee the design and implementation of machine learning algorithms and models
- Ensure that data science projects are delivered on time and within budget
- Stay current on industry trends and drive innovation within the team
- Manage relationships with key stakeholders and communicate project progress and results effectively
- Take ownership of data science work in production, ensuring performance and quality standards are met.
Requirements:
1. Education: Master's or Ph.D. degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, or a related discipline. Equivalent work experience will also be considered.
2. Experience: Minimum of 5 years of experience in a data science or similar role, with a demonstrated track record of successfully delivering data-driven projects. At least 2 years in a team lead or management role.
3. Technical Skills:
- Proficiency in programming languages such as Python, R
- Strong knowledge of machine learning techniques and algorithms.
- Experience with statistical analysis, data mining, and data manipulation.
- Familiarity with big data technologies such as Spark or SQL.
- Expertise in data visualization tools like Tableau, Power BI, or matplotlib.
- Experience with ML clouds such as AWS, GCP, or Azure would be considered a plus
4. Analytical Skills: Excellent problem-solving skills and the ability to think critically, interpret complex data, and derive actionable insights.
5. Communication: Strong verbal and written communication skills in English, with the ability to explain complex concepts and insights to both technical and non-technical audiences.
6.Leadership: Proven experience in leading and managing data science projects, working with cross-functional teams, and mentoring junior team members.
7. Adaptability: Ability to work in a fast-paced, dynamic environment, handle multiple projects simultaneously, and adapt to changing priorities.
8. Continuous Learning: A passion for learning and staying up-to-date with the latest trends and advancements in data science, machine learning, and related fields.
We offer an opportunity to work with a collaborative team on cutting-edge data science projects. If you are a self-driven, results-oriented Data Science Manager with a passion for leveraging data to drive business success, we would love to hear from you.
What you can expect:
- 25 days of annual leave;
- Sharesave scheme;
- ”Flexible Benefits” of your choice;
- Private health insurance (includes dental insurance and health assessments);
- Free parking;
- Thousands of courses online through ‘Udemy'.
Ways of working:
Flexible working is our way of working! We're a diverse workforce and therefore a 'one size fits all' approach isn't necessarily best. Whatever your personal needs may be, let's have a chat and see how we can accommodate them;
We thank all applicants for their interest, however only the suitable candidates will be contacted for an interview.
By submitting your application online, you agree that: your details will be used to progress your application for employment. If your application is successful, your details will be used to administer your personnel record. If your application is unsuccessful, we will retain your details for a period no longer than two years, in order to consider you for prospective role within the company.
