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- Tasks: Lead and mentor a team of Data Scientists in delivering AI and Data Science programmes.
- Company: Join Datatech, a top UK recruitment agency in analytics, known for promoting diversity.
- Benefits: Enjoy remote work flexibility, competitive salary, and additional allowances for exceptional candidates.
- Why this job: Be part of an innovative culture that values excellence in data science and social impact.
- Qualifications: Post-graduate qualification or equivalent experience in data science techniques and tools required.
- Other info: Participate in referral schemes for extra rewards by introducing candidates to the company.
The predicted salary is between 42700 - 59000 £ per year.
A new and exciting opportunity has arisen for a Principal Data Scientist with a strong background in Advanced AI (Artificial Intelligence) to lead, mentor and upskill a team of Data Scientists. Collaborating cross-functionally, the role will focus on the delivery of AI and Data Science programmes across the organisation, driving Data Quality, Data Governance and Best Practice.
Key Responsibilities:
- Lead the delivery of AI and Data Science programme across the organisation.
- Lead and develop the Data Science Team.
- Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work.
- Contribute to the development of the AI and Data science programme to drive high impact data science outcomes.
- Experience of leading a team to deliver Data Science solutions.
- Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally.
- Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments.
- Manage competing demands for Data Science work within the Data & Insight unit, ensuring sufficient capacity to deliver while managing stakeholder expectations.
- Build and drive relationships internally and externally in order to deliver the AI and Data Science programme.
- Lead and facilitate multi-disciplinary teams from across the unit to deliver outcomes.
- Assure that appropriate quality control and assurance is undertaken to ensure consistency, accuracy and relevance of unit outputs.
- Stay abreast of internal and external developments in data, policy and structures of care delivery.
- Promote a culture of respect and fairness and understand personal responsibilities around delivering against diversity and inclusion strategy.
Qualifications and Experience:
- Post-graduate qualification in relevant subject or has equivalent professional experience.
- In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems.
- Previous experience in delivery of complex, advanced analytics and/or data science solutions.
- Expert working knowledge of a range of data science tools, especially Python, R, and SQL.
- Experience of cloud computing - Cloud Computing – Azure, AWS or GCP.
- Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them.
- Experience of delivering Data Science models into production at scale, and collaboration with architecture and engineering teams.
- Proven experience in leading and developing data science or complex analytics teams.
- Expert ability to manage stakeholder expectations and facilitate discussions across high risk and complexity or under constrained timescales.
Research Data Scientist | Remote employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Data Scientist | Remote
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and data science, particularly in areas like machine learning and natural language processing. This knowledge will not only help you during interviews but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the data science community, especially those who have experience in leading teams or working with cloud computing tools like Azure or AWS. Engaging in discussions can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your previous experiences in delivering complex analytics solutions and how you've managed stakeholder expectations. Be ready to share specific examples that highlight your leadership skills and ability to drive data quality and governance.
✨Tip Number 4
Showcase your communication skills by practising how to explain complex data science concepts in simple terms. This is crucial for influencing stakeholders at all levels, so consider role-playing scenarios where you need to present your ideas clearly.
We think you need these skills to ace Research Data Scientist | Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, cloud computing, and advanced AI techniques. Use specific examples that demonstrate your leadership in data science projects and your ability to mentor others.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and your vision for leading a team. Mention how your background aligns with the company's goals, particularly in driving data quality and governance.
Showcase Relevant Experience: When detailing your work history, focus on your experience with machine learning, natural language processing, and delivering data science solutions at scale. Highlight any successful projects that involved collaboration with cross-functional teams.
Prepare for Potential Questions: Anticipate questions related to your leadership style, problem-solving abilities, and how you manage stakeholder expectations. Be ready to discuss specific challenges you've faced in previous roles and how you overcame them.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Technical Skills
Make sure to highlight your expertise in Python, R, and SQL during the interview. Be prepared to discuss specific projects where you've applied these skills, especially in cloud computing environments like Azure or AWS.
✨Demonstrate Leadership Experience
Since the role involves leading a team, share examples of how you've successfully managed and developed data science teams in the past. Discuss your approach to mentoring and fostering a collaborative environment.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in delivering data science solutions and how you overcame them, particularly under tight deadlines.
✨Emphasise Communication Skills
Strong communication is key for this role. Be ready to explain complex data science concepts in simple terms, as you'll need to influence stakeholders at all levels. Practice articulating your thoughts clearly and confidently.
