At a Glance
- Tasks: Lead AI/ML projects to solve complex business challenges and drive innovation.
- Company: ProSapient, a forward-thinking firm connecting experts with consulting and private equity.
- Benefits: Flexible remote work, generous leave, and support for mental fitness.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact in AI/ML while collaborating with talented teams.
- Qualifications: Strong background in ML/NLP and proficiency in Python required.
The predicted salary is between 60000 - 80000 £ per year.
ProSapient aids consulting and private equity firms in making informed decisions by connecting them with industry experts through interviews or surveys, curated on a leading software platform. The Senior Data Scientist role exists to spearhead AI/ML initiatives that enhance business impact and refine complicated challenges into precise data science solutions.
Responsibilities
- Develop AI/ML solutions for business problems using advanced models like OpenAI and Amazon Comprehend.
- Design experiments with datasets for evaluating model performance focusing on business impact.
- Collaborate with engineering teams to build scalable AI/ML infrastructure and optimize models in production.
- Drive innovation by exploring advancements in LLMs and AI.
- Communicate insights effectively to technical and non-technical stakeholders.
Benefits
- Remote work flexibility for up to 20 days annually.
- Tenure gifts.
- Employee Assistance Programme for personalized advice and support.
- Enhanced maternity and paternity pay.
- 25 days of annual leave plus bank holidays and a Christmas period closure.
- MyMindPal app for mental fitness support.
- Corporate events, including quarterly gatherings and annual parties.
Requirements
- Expertise in ML/NLP for semantic search, recommendation systems, and information retrieval.
- Experience with ML‑Ops workflows and deployment of models.
- Proficiency in Python and frameworks like pandas, kedro, and kafka streams.
- Knowledge of backend development for deploying production models.
- Strong communication skills for presenting complex technical concepts.
Preferred Skills
- Experience with LLMs, prompt engineering, and AI agents.
ProSapient is committed to diversity and inclusion, encouraging applications even if not all qualifications are met. They offer equal opportunity employment without discrimination based on various protected characteristics. Employment decisions are based on qualifications, merit, and business need. Candidates undergo thorough screening and pre‑employment checks.
Senior Data Scientist employer: proSapient
ProSapient is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Senior Data Scientist role in London. With a strong emphasis on employee growth, the company offers flexible remote work options, generous leave policies, and comprehensive support programmes, ensuring that team members can thrive both personally and professionally. The opportunity to work on cutting-edge AI/ML initiatives while engaging with diverse stakeholders makes ProSapient a rewarding place for those seeking meaningful contributions in the tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with AI/ML solutions and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team at ProSapient. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills, especially in Python and ML/NLP. Mention specific frameworks like pandas or kedro that you’ve used. We love seeing practical examples of your expertise!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Let’s get your application rolling!
How to prepare for a job interview at proSapient
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and ML, especially around models like OpenAI and Amazon Comprehend. Be ready to discuss how you've used these technologies in past projects and how they can solve business problems.
✨Showcase Your Communication Skills
Since you'll need to communicate complex ideas to both technical and non-technical folks, practice explaining your past projects in simple terms. Use examples that highlight your ability to make data science accessible to everyone.
✨Prepare for Technical Questions
Expect some deep dives into ML/NLP topics, so be prepared to tackle questions about semantic search, recommendation systems, and model deployment. Brush up on your Python skills and frameworks like pandas and kedro, as they'll likely come up.
✨Demonstrate Collaboration
ProSapient values teamwork, so think of examples where you've successfully collaborated with engineering teams or other departments. Highlight how you contributed to building scalable AI/ML infrastructure and optimising models in production.
