Forward Deployed Data Scientist

This Data Analyst role is focused on collaborate with clients, sales, and client success teams to uncover pressing real-world data needs and/or friction points, early in the commercial process. It would suit someone who can bring comfortable with warehouse routines to the role.

What the work leans on

Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority). London, England, United Kingdom 1 week agoWe’re unlocking community knowledge in a new way.

Where the technical work sits

• Collaborate with clients, sales, and client success teams to uncover pressing real-world data needs and/or friction points, early in the commercial process.
• Discover, prototype, validate, build, deliver and support working data solutions that materialize client value as quickly and as early as possible.
• Work closely partnered with Signal's product and data science teams and represent them, their products, standards, processes, priorities, etc.

Technical requirements

• Develop sales and client success enablement assets so that repeatable processes, relevant common examples, etc are easy to deliver and digest by all.
• 5+ years in data-heavy roles (e.g., Data Engineer, Data Analyst, Data Scientist, API developer, etc.).
• Deep experience building or deploying data products in commercial settings.

What helps delivery stay steady

comfortable with warehouse routines.

Practical details

• Signal's hybrid work policy currently includes 6 working days at premises per month.
• 2-4 weeks of onboarding training to prepare you for your new role, having the opportunity to meet about 30 trainers while diving deep into our products and/or the shipping world.
• Career growth opportunities and a structured development discussion every 4 months.
• Referrals increase your chances of interviewing at Signal by 2x.

Requirements mentioned

• Excel

Job details

• Pay: £65,000
• Pay: £75,000
• Benefits mentioned: Training