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For Companies At a Glance
- Tasks: Solve complex problems using data science and collaborate with clients on innovative solutions.
- Company: Sahaj Software, a trusted artisanal software engineering firm.
- Benefits: Unlimited holiday allowance, life insurance, and a culture of trust and respect.
- Why this job: Join a team of experts and make a real impact across diverse domains.
- Qualifications: PhD/Master’s in relevant fields and experience in client interaction and data science.
- Other info: Collaborate with top minds and enjoy a transparent work culture.
The predicted salary is between 43200 - 72000 £ 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.
About the role and the skill set:
A Data Scientist at Sahaj should be able to interact with clients and help solve client problems. They should be conversant with problem solving, first principles thinking, data science model life cycle, metrics, and deployments. The model choices should be chosen based on accuracy requirements, the target operational environment and the latencies. The activity for a data scientist involves conceptualizing, formulating, coding and deploying the solutions to the problem. They should be conversant with using cloud computing depending on the target environment. They should be conversant with interacting with the clients and be able to make sense of ambiguous problem statements.
Our client problems can range in a variety of domains. Some examples, but not limited to, are:
- Building a RAG leveraging open source or commercial LLMs
- Building a Multiagent system
- Leveraging Small Language models that could be locally resident
- Problems in computer vision
- Speech
- Natural Language Processing (NLP)
- Multilingual models
- Applied statistics
- Data mining
- Conventional machine learning models
We look to our data scientists to be conversant with at least 2 or more of the above areas, and be conversant with deep learning and conventional machine learning methods. Have requisite theoretical strength, and expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries.
Qualifications/experience:
PhD/Master’s/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics or equivalent. Have experience with a proven track record in client-interaction, can collaborate with engineering and business teams and is good at formulation, solving and deploying Data Science models.
What will you experience in terms of culture at Sahaj?
- A culture of trust, respect and transparency
- Opportunity to collaborate with some of the finest minds in the industry
- Work across multiple domains
What are the benefits of being at Sahaj?
- Unlimited holiday allowance
- Life insurance
Lead Data Scientist employer: Sahaj Software
Contact Detail:
Sahaj Software Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in your field, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that Lead Data Scientist role at Sahaj.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving cloud computing or machine learning. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for client interactions! Brush up on your communication skills and practice explaining complex concepts in simple terms. At Sahaj, you'll need to make sense of ambiguous problems, so being articulate is key.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the Sahaj team and contributing to our mission of data-led transformation.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Show Your Craft: When you're writing your application, make sure to highlight your craftsmanship in data science. Talk about specific projects where you've solved complex problems and how you approached them with curiosity and respect for the craft.
Be Client-Focused: Since client interaction is key, share examples of how you've successfully communicated with clients in the past. Show us how you’ve made sense of ambiguous problem statements and delivered tailored solutions that meet their needs.
Demonstrate Your Skills: Make sure to showcase your technical skills clearly. Whether it's Python coding or your experience with machine learning models, we want to see how you can apply your knowledge practically. Use bullet points for clarity!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures it gets into the right hands quickly. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Sahaj Software
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around model life cycles and metrics. Be ready to discuss your experience with different models and how you've chosen them based on specific requirements. This will show that you understand the intricacies of the role.
✨Show Off Your Problem-Solving Skills
Prepare to tackle some real-world problems during the interview. Think about how you would approach ambiguous problem statements and be ready to walk through your thought process. This is a chance to demonstrate your first principles thinking and how you can break down complex issues.
✨Get Familiar with Client Interaction
Since client interaction is key for this role, practice articulating how you've successfully communicated technical concepts to non-technical stakeholders in the past. Share examples where you've collaborated with clients to solve their problems, as this will highlight your interpersonal skills.
✨Be Hands-On with Coding
Expect to showcase your coding skills, particularly in Python. Brush up on relevant libraries and be prepared to solve coding challenges or discuss your previous projects. This hands-on approach will demonstrate your practical expertise and readiness to dive into the work at Sahaj.
