Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Solve complex client problems using data science and machine learning.
- Company: Sahaj Software, a trusted artisanal software engineering firm.
- Benefits: Unlimited holiday, life insurance, stock options, and open salaries.
- Why this job: Join a culture of trust and respect while working with top industry minds.
- Qualifications: PhD/Master’s in relevant fields and experience in client interaction.
- Other info: Collaborate across multiple domains in a transparent, no-hierarchy environment.
The predicted salary is between 54000 - 84000 £ per year.
About Sahaj
Sahaj Software is an artisanal software engineering firm built on the values of trust, respect, curiosity, and craftsmanship, delivering purpose-built solutions to drive data-led transformation for organisations. Our emphasis is on craft as we create purpose-built solutions, leveraging Data Engineering, Platform Engineering and Data Science with a razor-sharp focus to solve complex business and technology challenges, and provide customers with a competitive edge.
Responsibilities
- Interact with clients and help solve client problems.
- Be conversant with problem solving, first principles thinking, data science model life cycle, metrics and deployments.
- Choose model solutions based on accuracy requirements, target operational environment and latency considerations.
- Conceptualize, formulate, code and deploy solutions to problems.
- Be conversant with using cloud computing depending on the target environment.
- Interact with clients and make sense of ambiguous problem statements.
- Work on client problems across domains such as RAG with LLMs (open source or commercial), Multiagent systems, locally resident Small Language Models, computer vision, speech, NLP, multilingual models, applied statistics, data mining or conventional machine learning models.
- Be conversant with at least two of the above areas, and be proficient in deep learning and conventional machine learning methods, with hands-on coding in Python and relevant libraries.
Qualifications/Experience
- PhD/Master’s/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics, or equivalent.
- Experience with a proven track record in client interaction, ability to collaborate with engineering and business teams, and strength in formulation, solving and deploying Data Science models.
Culture
- A culture of trust, respect and transparency.
- Opportunity to collaborate with some of the finest minds in the industry.
- Work across multiple domains.
Benefits
- Unlimited holiday allowance.
- Life insurance & private health insurance.
- Stock options.
- No hierarchy.
- Open Salaries.
Lead Data Scientist - Sahaj Software in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Sahaj Software in London
✨Tip Number 1
Get your networking game on! Connect with folks in the industry, especially those at Sahaj Software. Attend meetups, webinars, or even just reach out on LinkedIn. You never know who might put in a good word for you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those that align with Sahaj's focus areas like LLMs or computer vision. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for those interviews! Brush up on problem-solving techniques and be ready to discuss your approach to ambiguous problems. Practice coding challenges in Python to show you're not just theory but also practical.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Sahaj team. Don’t miss out on this opportunity!
We think you need these skills to ace Lead Data Scientist - Sahaj Software in London
Some tips for your application 🫡
Show Your Craft: When you're writing your application, let your passion for data science shine through. We love seeing how you approach problem-solving and your craftsmanship in coding. Share specific examples of projects where you've made a real impact!
Tailor Your Application: Make sure to customise your application to reflect the values and responsibilities mentioned in the job description. Highlight your experience with client interactions and how you've tackled complex challenges in the past. This helps us see how you'd fit into our culture.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points for key achievements and skills, so we can quickly grasp your qualifications. Remember, less is often more!
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Sahaj Software!
How to prepare for a job interview at Jobster
✨Know Your Data Science Inside Out
Make sure you’re well-versed in the data science model life cycle and can discuss various metrics and deployments. Brush up on your knowledge of deep learning and conventional machine learning methods, as well as coding in Python. Being able to articulate your thought process and problem-solving approach will impress the interviewers.
✨Understand Sahaj's Values
Familiarise yourself with Sahaj Software’s core values: trust, respect, curiosity, and craftsmanship. Be prepared to discuss how these values resonate with your own work ethic and how you can contribute to their culture. This shows that you’re not just a fit for the role, but also for the company.
✨Prepare for Client Interaction Scenarios
Since the role involves interacting with clients, think of examples from your past experiences where you successfully solved client problems. Be ready to demonstrate your ability to make sense of ambiguous statements and how you’ve collaborated with engineering and business teams to deliver solutions.
✨Showcase Your Technical Skills
Be prepared to discuss specific projects where you’ve applied your skills in areas like NLP, computer vision, or multi-agent systems. Highlight your hands-on experience with relevant libraries and cloud computing. If possible, bring along a portfolio or code samples to showcase your work.
