Senior Data Scientist

Multiverse; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

An innovative upskilling company in Greater London is seeking a Senior Data Scientist to lead their Data Science team. This role involves translating complex queries into analyses and overseeing the production of machine learning models. The ideal candidate has 5+ years of experience, strong Python skills, and the ability to communicate insights effectively. Offering a hybrid work model and excellent benefits, this position is perfect for someone committed to driving innovation in education and tech skills.

Benefits

27 days holiday plus additional leave

Private medical insurance

Hybrid work environment

Company-wide events and socials

Qualifications

• 5+ years of data science / machine learning experience leading complex data projects.
• Extensive experience deploying machine learning algorithms into production.
• Strong proficiency in Python and key libraries.
• Advanced working knowledge of SQL.
• Experience with GitHub for version control.
• Productionising ML models in cloud environments.
• Understanding of data protection best practices.
• Curious and pragmatic problem solving focus.
• Exceptional attention to detail.
• Commitment to the mission and values of the company.

Responsibilities

• Translate complex stakeholder queries into actionable analyses.
• Develop understanding of data lineage and sources.
• Oversee the productionization of analyses and models.
• Drive exploration of data for user engagement.
• Build out knowledge graph capabilities.
• Proactively monitor analyses and models.
• Evaluate methodologies for data collection.
• Communicate actionable insights to stakeholders.

Skills

Data science experience

Machine learning algorithms

Python

SQL

GitHub

Cloud environments

Data protection

Problem solving

Analytical mindset

Continuous learning

Education

Bachelor's degree in a relevant field

Tools

NumPy

Pandas

Scikit-Learn

PyTorch

Langchain

Job description

Multiverse is the upskilling platform for AI and Tech adoption.

We have partnered with 1500 companies to deliver a new kind of learning thats transforming todays workforce.

Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI data and tech skills. Our learners have driven $2bn ROI for their employers using the skills theyve learned to improve productivity and measurable performance .

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 post-money valuation of $1.7bn the round makes us the UKs first EdTech unicorn.

But we arent stopping there. With a strong operational footprint and 800 employees we have ambitious plans to continue scaling. Were building a world where tech skills unlock peoples potential and output.

Join Multiverse and power our mission to equip the workforce to win in the AI era.

As a Senior Data Scientist you will play a pivotal role in steering our Data Science team towards achieving strategic objectives. Your expertise will guide collaborative efforts in product and backend services alike whilst collaborating with product experts engineers and other stakeholders from across the organization.

Youll leverage your advanced analytical skills and understanding of AI and machine learning to drive impactful insights and foster innovative solutions. This dynamic role demands a balance of creativity and analytical rigor within a fast-paced environment ensuring quick learning and iteration based on user feedback.

What youll focus on :

• Translate complex stakeholder queries and hypotheses into actionable analyses experiments and AI / ML model requirements.
• Develop a comprehensive understanding of our data lineage and sources addressing and mitigating sampling and analytical biases.
• Oversee the productionization of analyses and models ensuring their seamless operation at scale by adhering to software engineering best practices.
• Drive targeted exploration of our data landscape ideating and implementing innovative ways to use data for enhancing user engagement on our products
• Build out our knowledge graph capability for underpinning AI / ML models and agentic workflows
• Proactively monitor and refine analyses and models optimizing effectiveness and efficiency while minimizing biases and operational challenges.
• Evaluate and validate scalable methodologies for data collection and processing ensuring robust practices are in place.
• Communicate actionable insights to stakeholders at all levels bridging the gap between technical concepts and business objectives.

What were looking for :

Required :

• 5 years of data science / machine learning experience with a proven track record in leading complex data projects.
• Extensive experience in deploying supervised / unsupervised machine learning algorithms and AI tools into production delivering scalable and effective solutions.
• Strong proficiency in Python and key libraries commonly used in machine learning (e.g. NumPy Pandas Scikit-Learn PyTorch Langchain).
• Advanced working knowledge of SQL
• Experience with GitHub for version control.
• Demonstrated experience productionising ML models and analytic outputs within cloud environments (e.g. AWS Azure).
• Understanding of best practices in data protection and information security.
• A tenacious curious and pragmatic approach to problem solving focusing on creating usable scalable outputs.
• Exceptional attention to detail and a strong analytical mindset.
• A growth-oriented attitude and a passion for continuous learning and professional development.
• A commitment to Multiverses mission and values.

Non-Required (But Desirable) :

• Familiarity with the education / skills sector
• Understanding of the semantic web knowledge graphs and / or network analytics
• Direct experience with CI / CD practices (e.g. GitHub Actions).
• Knowledge of infrastructure as code tools (e.g. Terraform).
• An advanced degree in a numerical engineering or related discipline.

Benefits

• Time off - 27 days holiday plus 7 additional days off : 1 life event day 2 volunteer days and 4 company-wide wellbeing days and 8 bank holidays per year
• Health & Wellness - private medical Insurance with Bupa a medical cashback scheme life insurance gym membership & wellness resources through Gympass and access to Spill - all in one mental health support
• Hybrid work offering - and the opportunity to take part in our work-from-anywhere scheme
• Team fun - weekly socials company wide events and office snacks

Our commitment to Diversity Equity and Inclusion

Were an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race colour ancestry religion sex national origin sexual orientation age citizenship marital status disability gender gender identity or expression or veteran status. This will never change. Read our Equality Diversity & Inclusion policy here.

Right to Work

Do you have the right to work in the UK Unfortunately at this time we cannot offer sponsorship for this role and we cannot consider overseas applications.

Safeguarding

All posts in Multiverse involve some degree of responsibility for safeguarding. Successful applicants are required to complete a Disclosure Form from the Disclosure and Barring Service (DBS) for the position. Failure to declare any convictions (that are not subject to DBS filtering) may disqualify a candidate for appointment or result in summary dismissal if the discrepancy comes to light subsequently.