About Elsewhen:

Elsewhen, a London-based consultancy, designs digital products and services for clients like Spotify, Google, Inmarsat, and Zego. Over the past decade, we have built a workplace prioritizing impact, drive, and friendliness. We value outcomes over hours and agility over rigid processes.

Work Environment:

• Remote-first setup: Fully remote work with the option to use a WeWork membership for those who prefer occasional office access.

• Join our team: https://www.elsewhen.com.

Role:

As a Senior Data Scientist, you will work closely with our clients to analyze complex data sets, extract valuable insights, and drive data-driven decision-making for their digital products. You will collaborate with cross-functional teams including product designers, engineers, and product managers to develop innovative solutions and deliver measurable business outcomes.

Responsibilities:

• Analyse large and complex data sets to identify patterns, trends and insights to guide product development strategies

• Develop predictive models, machine learning algorithms, and statistical models to solve business problems and improve product performance.

• Design and implement data experiments, conduct A/B testing, and evaluate product performance using appropriate statistical techniques.

• Act as a proactive, self-starter to lay the foundation of the Data Science practice within the consultancy. Take an entrepreneurial approach to identify opportunities, establish best practices, and set strategic direction, with the potential to grow and lead a dedicated data science team as the function evolves.

• Collaborate with cross-functional teams to define data requirements, identify data sources, and ensure data quality and integrity.

• Communicate findings and insights effectively to technical and non-technical stakeholders through data visualisations, reports, and presentations.

• Stay up-to-date with the latest advancements in data science, machine learning, and analytics tools and techniques, and apply them to drive innovation in our consultancy services.

Requirements:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

• Proven experience as a Data Scientist, preferably in a digital product consultancy or similar environment.

• Proficiency in Python and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).

• Strong knowledge of machine learning algorithms, statistical modeling, and data mining techniques.

• Demonstrated experience in developing, fine-tuning, and deploying large language models (e.g., GPT, BERT). Familiarity with model architectures, optimisation techniques, and managing the computational challenges associated with LLMs.

• Proven expertise in implementing Retrieval-Augmented Generation, combining LLMs with external knowledge bases to enhance information retrieval and improve response accuracy. Strong understanding of RAG workflows, including indexing, retrieval, and integration with language models

• Experience with data visualisation tools (e.g., Tableau, Power BI) and proficiency in SQL for data extraction and manipulation.

• Excellent problem-solving skills and the ability to translate business objectives into data-driven solutions.

• Strong communication and presentation skills with the ability to convey complex concepts to both technical and non-technical stakeholders.

• Strong attention to detail and ability to work on multiple projects simultaneously.

Benefits:

• Private Health Insurance: Comprehensive coverage for both physical and mental health.

• Flexible and Remote-First Work Environment: Choose how and where you work, with the option for weekly team meet-ups in central London.

• Generous Leave Policy: 27 days of holiday plus bank holidays, along with enhanced paternity (6 weeks) and maternity leave (16 weeks) or shared parental pay.

• Learning and Development: Individual annual budget of £2,000 for learning and development, with dedicated learning days.

• Feel Better Fund: £500 to help set up your remote office.

• Social Events: Monthly and quarterly team events, an annual team trip, and half-yearly social events.

• Gym Membership Contribution: Support for maintaining your physical health.

• Additional Perks: Includes Amazon Prime, cinema perks, and more.

• Pension Contribution: Enhanced employer pension contribution of 6%.

• Bonus Opportunities: Potential to receive a discretionary (non-contractual) bonus based on business and personal achievements.

Our Commitment to Diversity:

Diverse thoughts, backgrounds, and perspectives create stronger teams and better technology. We welcome everyone, regardless of culture, appearance, or perspective, fostering individuality. We empower our team to challenge norms, grow ideas, and produce their best work.