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- Tasks: Lead data science projects, identify opportunities, and communicate insights to clients.
- Company: Join a rapidly growing consultancy focused on impactful public sector projects.
- Benefits: Enjoy a competitive salary, discretionary bonus, flexible hours, and a training budget.
- Why this job: Work on diverse, technically challenging projects while making a real difference in the public sector.
- Qualifications: Experience in data science leadership, cloud infrastructure, coding (Python, SQL), and statistical techniques required.
- Other info: Permanent role for UK residents only; SC Clearance eligibility is a must.
The predicted salary is between 45000 - 75000 £ per year.
A small and rapidly growing Consultancy are looking for a Lead Data Scientist to join their growing team. This is a hybrid role, requiring around 2-3 days per week either in the office or on client site, depending on requirements. Many of their clients are in the Public Sector, meaning you must be eligible for SC Clearance in order to apply for this role.
In this role, you will lead on client projects and provide them with subject matter expertise. You'll proactively identify opportunities for data science to be used to help solve their unique challenges, and will action this appropriately. This will involve working with varied data sources, and designing and implementing various data science and machine learning techniques and algorithms, both on-premises and on the cloud, depending on the client's environment. You'll communicate your findings and insight to the client, getting involved in presentations to uncover the "story" the data is telling, and therefore what action can be taken.
This role would be well-suited to someone who has experience (or is keen to get experience) in a client-facing environment, and who enjoys the challenge of working on technically demanding and diverse projects.
Requirements- Experience leading on data science projects
- Experience working on cloud-based infrastructure e.g. Azure, AWS, GCP
- Extensive coding skills in languages such as Python and SQL
- Experience working with various forms of data (e.g. structured, unstructured; text, time-series and image) and appropriately modelling these
- Experience with various statistical-based techniques to uncover data insight
- Experience developing machine learning algorithms
- Excellent communication and requirements gathering skills
- Eligibility for SC Clearance
- Salary up to £75,000 depending on experience
- Discretionary bonus
- 5% pension
- Training budget allowance
- Flexible working hours
Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
Lead Data Scientist employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Familiarise yourself with the specific data science projects that the consultancy has worked on in the past. This will not only help you understand their approach but also allow you to discuss how your experience aligns with their needs during interviews.
✨Tip Number 2
Brush up on your cloud-based infrastructure knowledge, particularly with Azure, AWS, and GCP. Being able to speak confidently about your experience with these platforms will set you apart as a candidate who can hit the ground running.
✨Tip Number 3
Prepare to showcase your coding skills in Python and SQL through practical examples. Consider working on a small project or two that demonstrates your ability to handle various forms of data and apply machine learning techniques.
✨Tip Number 4
Since this role involves client interaction, practice your communication skills by explaining complex data concepts in simple terms. You might even want to conduct mock presentations to friends or colleagues to refine your storytelling abilities with data.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience leading data science projects, working with cloud-based infrastructure, and your coding skills in Python and SQL. Use specific examples to demonstrate your expertise in various data forms and statistical techniques.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the consultancy's mission. Discuss how your background aligns with their needs, particularly your client-facing experience and ability to communicate complex data insights effectively.
Showcase Relevant Projects: If possible, include a portfolio or links to projects that showcase your work with machine learning algorithms and data modelling. This will provide tangible evidence of your capabilities and help you stand out.
Highlight SC Clearance Eligibility: Since eligibility for SC Clearance is a requirement, make sure to mention your eligibility clearly in your application. This will reassure the employer that you meet one of their key criteria.
How to prepare for a job interview at Tenth Revolution Group
✨Showcase Your Leadership Experience
As a Lead Data Scientist, you'll be expected to lead projects. Be prepared to discuss your previous leadership roles and how you've successfully guided teams or projects in the past. Highlight specific examples where your leadership made a significant impact.
✨Demonstrate Technical Proficiency
Make sure to brush up on your coding skills, especially in Python and SQL. Be ready to discuss your experience with cloud platforms like Azure, AWS, or GCP, and how you've applied various data science techniques in real-world scenarios.
✨Prepare for Client-Facing Scenarios
Since this role involves client interaction, think of examples where you've effectively communicated complex data insights to non-technical stakeholders. Practice explaining technical concepts in simple terms to demonstrate your communication skills.
✨Understand the Public Sector Landscape
Familiarise yourself with the unique challenges faced by public sector clients. Research current trends and issues in this area, as it will help you tailor your responses and show that you're genuinely interested in making a difference through data science.
