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For Companies At a Glance
- Tasks: Join a dynamic team to deliver innovative data science solutions in a fast-paced environment.
- Company: Be part of a groundbreaking e-commerce start-up transforming the industry with AI-driven technology.
- Benefits: Enjoy a competitive salary, equity options, and a hybrid work model for flexibility.
- Why this job: Make a real impact in a disruptive tech company while developing your career in a collaborative culture.
- Qualifications: Degree in relevant fields; strong Python skills and experience with complex data sets required.
- Other info: Opportunity to own shares in a scaling organisation aiming for IPO.
The predicted salary is between 78000 - 108000 ยฃ per year.
Job Description
๐งช ๐ฆ๐ฒ๐ป๐ถ๐ผ๐ฟ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐๐ถ๐๐ โ ๐๐ผ๐ป๐๐ฟ๐ฎ๐ฐ๐ ๐งช
๐ Location: Hybrid 1-2 days per week onsite in London
๐ Start: 1st December โ 1st April initially
๐ฐ Day Rate: Outside IR35 โ ยฃ500-600 โ depending on experience.
An established consultancy is seeking a Senior Data Scientist (Contract) to lead and deliver a series of high-impact machine learning proof-of-concept and beta-stage projects for a major public sector client.
Youโll play a key role in shaping the technical direction of these projects, providing both hands-on expertise and leadership to a small team of data scientists, supported by engineers. The work will involve a balance of technical delivery, client engagement and strategic oversight.
Role Responsibilities
- Act as technical lead and mentor for junior data scientists.
- Partner directly with client stakeholders to translate complex technical insights into business impact.
- Define and guide the machine learning strategy and direction for assigned projects.
- Lead the design, training and validation of models and algorithms.
- Maintain hands-on involvement.
- Work collaboratively with data engineers (note: MLOps responsibilities are handled by the engineering team).
- Contribute to broader AI and ML strategy development within the engagement.
Required Skills & Experience
- 6+ yearsโ experience in Data Science.
- Demonstrated experience in technical consulting, ideally with exposure to public sector.
- Strong proficiency in Python and key data science libraries (pandas, NumPy, scikit-learn, PyTorch/TensorFlow).
- Broad, practical understanding of machine learning and AI methodologies.
- Proven success in proof-of-concept design and delivery.
- Strong technical leadership and mentoring skills.
- Excellent communication and stakeholder management abilities.
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice ๐คซ
We think this is how you could land Senior Data Scientist
โจTip Number 1
Network with professionals in the e-commerce and AI sectors. Attend industry meetups, webinars, or conferences to connect with potential colleagues or leaders from the start-up. This can help you gain insights into the company culture and possibly get a referral.
โจTip Number 2
Showcase your experience with machine learning and data science projects on platforms like GitHub or Kaggle. Having a portfolio of your work can demonstrate your skills and passion for data science, making you stand out to the hiring team.
โจTip Number 3
Prepare to discuss real-world applications of your data science skills during interviews. Be ready to share specific examples of how you've used data to solve business problems, particularly in fast-paced environments, as this aligns with the company's focus.
โจTip Number 4
Research the latest trends in AI and e-commerce to demonstrate your knowledge and enthusiasm for the field. Being well-informed about current developments can help you engage in meaningful conversations during interviews and show your commitment to the role.
We think you need these skills to ace Senior Data Scientist
Some tips for your application ๐ซก
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in operational research, forecasting, and machine learning. Use specific examples to demonstrate your skills in Python and working with complex datasets.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI-driven solutions and your understanding of the e-commerce landscape. Mention how your background aligns with the company's mission and values, and express your enthusiasm for contributing to their innovative culture.
Showcase Relevant Projects: If you have worked on projects that involved optimisation, clustering, or LTV modelling, be sure to include these in your application. Describe your role, the challenges faced, and the impact of your work on the business outcomes.
Highlight Soft Skills: In addition to technical skills, emphasise your ability to thrive in a collaborative environment and your experience in client-facing roles. Showcase your proactive mindset and intellectual curiosity, as these traits are essential for success in a fast-paced start-up.
How to prepare for a job interview at Omnis Partners
โจShowcase Your Technical Skills
Be prepared to discuss your programming skills, particularly in Python. Bring examples of algorithms and models you've built, and be ready to explain how you've worked with complex data sets in previous roles.
โจDemonstrate Your Business Acumen
Since the role involves working in a client-facing environment, highlight your experience in building trust and engaging in commercial discussions. Prepare examples of how you've used data science to solve real-world business problems.
โจEmphasise Your Collaborative Spirit
This start-up values innovation and collaboration. Share experiences where you've successfully worked in teams, especially in high-pressure situations, to deliver impactful data science solutions.
โจExpress Your Passion for AI and E-commerce
Show genuine enthusiasm for the company's mission to transform e-commerce through AI. Discuss any relevant projects or research that align with their goals, demonstrating your commitment to making a meaningful impact.
