At a Glance
- Tasks: Design and ship innovative data products for the legal industry.
- Company: Join BigHand, a tech leader empowering legal professionals with smart solutions.
- Benefits: Enjoy 25 days holiday, wellness perks, and flexible working options.
- Other info: Be part of a diverse team that values learning and collaboration.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: STEM degree, strong Python skills, and experience with AI systems.
The predicted salary is between 63000 - 77000 £ per year.
About BigHand
BigHand offers technology solutions for busy legal professionals that provide data and insights to increase value and profits. Through our expert knowledge and innovative technology, we enable our customers to achieve enhanced efficiency, better decision-making and harness their competitive edge. We build with tomorrow in mind, transforming ideas into action and empowering our customers to succeed in a world of constant change. We make big happen for our customers. We are a business driven by our values and have these at the centre of everything we do. Our BigHanders are dedicated to building a culture where We Win Together, We Love to Learn, We Do the Right Thing, We Own It and We Find the Fun.
About the role
BigHand builds software that legal organisations rely on every day. We are looking for a Data Scientist to help us design and ship products to establish our partnership with Ayora, where a clean, considered user interface meets genuinely intelligent behaviour underneath. This is a hands-on role for a data scientist who wants their work in production rather than in a notebook. You will build and evaluate the models and LLM systems that sit behind the product, contribute to how problems are framed as well as how they are solved, and take real ownership of the quality of what we release.
What you’ll do
- Train, tune and evaluate models, and prepare them for production deployment alongside engineering.
- Build and improve LLM and agentic AI systems, including harnesses, retrieval augmented generation, context engineering and evaluation frameworks.
- Wrangle and analyse messy real-world legal data, and turn it into something the product can rely on.
- Design evaluations that tell us honestly whether a model or agent is working, and act on what they show.
- Explain complex statistical and machine learning concepts and results clearly, through visualisation and summarisation, including to non-technical audiences.
- Contribute to technical discussion and help refine requirements rather than simply consuming them.
- Deliver consistently within a collaborative agile framework, with a track record of predictable, high quality output.
- Develop well-constructed solutions using the best tools available, avoiding fragile shortcuts taken for short-term speed or to sidestep discussion.
- Apply modern software development lifecycle practices, including code review, testing and continuous delivery.
What we’re looking for
- An analytical background, evidenced by a STEM degree in a technical subject. Physical sciences or mathematics are preferred.
- Strong Python skills and competency across the Python data science ecosystem such as pandas, numpy and scikit-learn, or a highly transferable equivalent.
- Experience working with LLMs and agentic AI systems, including harnesses, RAG, context engineering and evaluations.
- Experience working safely and efficiently with agentic engineering systems.
- Solid experience with data wrangling and data analysis.
- The ability to train, tune and evaluate models and prepare them for production deployment.
- A solid understanding of modern software development lifecycle practices.
- The ability to navigate typical problems independently, contribute to discussion and help shape technical requirements.
- The ability to communicate complex statistical and machine learning concepts and their results clearly, including to non-technical audiences.
Desirable
- An insatiable appetite for learning and for acquiring new knowledge, skills and experience.
- Comfort operating independently on both existing and new systems while preserving and improving a consistent project structure.
- A positive force in building the team as we grow and develop into more senior positions.
- A habit of introducing new technology and practices that accelerate the team, for example through lunch and learn sessions.
- Experience in the legal industry or another regulated environment such as health or financial services.
What we offer
- 25 days holiday (exc. bank holidays) + 3 BigHand days off between Christmas & New Year
- Various wellbeing benefits including private medical, vision, online wellbeing programs & webinars, access to online therapy and Employee Resource Groups (ERG)
- Company-wide Wellness day, for our teams all across the globe to switch off and spend the day doing something to nourish their mental health
- Opportunities to give back with company volunteer events and individual volunteer days
- Career growth opportunities and study leave allowance
- Family benefits including enhanced parental leave, secondary caregiver leave and fertility support
- Financial benefits including pension scheme, life assurance, and salary sacrificing
- Cycle to Work Scheme and Tech Scheme
- Growing business with a global presence, flexible working, modern offices, and remote work options
Our DEI Commitment
We welcome the unique value and individuality that you can bring to BigHand. We are an equal opportunity employer and are dedicated to recruiting solely based on capability and potential regardless of race, gender, sexual orientation, gender identity or expression, age, educational background, national origin, religion, military status or physical ability. Our BigHanders are dedicated to advancing our culture of belonging by embracing differing viewpoints, opinions, thoughts, and ideas.
Data Scientist employer: BigHand Limited
BigHand is an exceptional employer that fosters a collaborative and innovative work culture, where values such as teamwork, continuous learning, and integrity are at the forefront. Employees enjoy a range of benefits including generous holiday allowances, wellness programs, and opportunities for career growth, all within a flexible working environment that supports both personal and professional development. With a commitment to diversity and inclusion, BigHand empowers its team members to thrive and contribute meaningfully in a dynamic industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like BigHand Limited!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at BigHand Limited.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like BigHand Limited.
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When you find a suitable opening like Data Scientist at BigHand Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at BigHand Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at BigHand Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at BigHand Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at BigHand Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
