data
Posted 1 weeks agoSenior Data Scientist
at Multiverse
London, United KingdomHybrid
Requirements
- Multiverse is the upskilling platform for AI and Tech adoption.
- Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills.
- Join Multiverse and power our mission to equip the workforce to win in the AI era.
- You'll develop a deep understanding of how Multiverse operates across our customer, learner and operational domains - and translate that understanding into rigorous, production-grade ML models that genuinely move the needle.
- Our leaders will make multi-million dollar decisions based on your recommendations, and our AI-powered product will decide how to support learners based on your models.
- experience with data pipelines and ML infrastructure -
- Experience working within AWS (ideally using Sagemaker) and/or Azure - Comfort working across our data stack - inc Airflow, Snowflake -
- Experience with version control and CI/CD practices (ideally using GitHub) - Rigorous attention to statistical validity - comfortable challenging assumptions and defending methodology - Understanding of best practices in data protection and information security Desirable -
- Experience with causal inference methods (e.g., diff-in-diff, instrumental variables, propensity score matching) -
- Experience with dbt for data transformation - Knowledge of infrastructure as code tools (e.g.
- Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS).
- For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check.
- Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings.
Benefits
- Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.
- With a post-money valuation of $1.7bn, the round makes us the UK’s first EdTech unicorn.
- Benefits - Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year - Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support - Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches
- Our Commitment to Diversity, Equity and Inclusion We’re an equal opportunities employer. And proud of it.
Contact
- Read our Equality, Diversity & Inclusion policy here https://www.multiverse.io/en-GB/our-policies/equality-diversity-and-inclusion-policy.
- We expect all employees to share this commitment and adhere to our Safeguarding Policy https://cdn.sanity.io/files/6y1mknvo/prod-20240319/50283d0600920c5f1e02cf44e54c0f1534c74e61.pdf, our Prevent Policy https://cdn.sanity.io/files/6y1mknvo/prod-20240319/35a5defca7346bb1c212250867754b0a7ae5b478.pdfand all other Multiverse company policies.
Additional details
- We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce.
- In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst.
- With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling.
- We’re building a world where tech skills unlock people’s potential and output.
- WHAT WE NEED: At Multiverse, the models we build don't just sit in notebooks - they drive the decisions that shape our business every day.
- From predicting learner outcomes to forecasting operational demand and optimising how we allocate resources, this work sits at the very core of how we run the company.
- As a Senior Data Scientist, you'll own these models end to end.
- To be successful, you'll be comfortable getting hands-on with pipelines and infrastructure - and unafraid of the statistical rigour that serious modelling demands.
- You'll work closely with stakeholders across every part of the business - helping them ask better questions, understand the answers, and act on them with confidence.
- You'll sit within our Data & Insight team, working day-to-day alongside Data Engineers, Data Product Developers and Insight Analysts.