Job Description

BKL Template
Job Title: Graduate Data Scientist
Location: Hybrid Working - London N3 / EC4M / Remote
Working Hours: Monday to Friday, 35-hour week (Flexitime)
Reporting To: Lead Data Scientist
Salary Range: 35,000 - 38,000
About BKL
BKL is a Top 40 accountancy and advisory business supporting a diverse client base, from entrepreneurs and high-net-worth individuals to ambitious owner-managed businesses and multinational groups. With a legacy spanning over 130 years, we've evolved into a modern, purpose-driven business that balances profit with impact.
We are proud to be a certified B Corp, reflecting our commitment to sustainability, transparency, and responsible governance. As a member of DFK International, we support clients locally and internationally with cutting-edge expertise and a personal touch.
We believe all clients deserve the same level of care, innovation, and excellence.
About the Team
You'll be joining our Data Science & AI team, a growing, firm-wide function embedded across all service lines and Operations.
The team works closely with senior leaders, client-facing teams, and operational stakeholders, supporting them with data engineering, business intelligence, predictive analytics, and generative AI to streamline core processes and inform decision-making.
We pride ourselves on being cross-functional, commercially focused, and innovation-driven, and offering exposure to diverse sectors and opportunities to contribute to high-impact, cross-team projects.
A Message from the Hiring Manager
I'm excited to welcome someone new to the team. You'll join an ambitious team using data science and AI to reshape how work gets done across the firm, automating workflows, unlocking insights, and driving better decisions. If you're curious, proactive, and keen to grow while tackling a wide variety of interesting, high-impact projects, we'd love to hear from you.
Your Opportunity
We're looking for a hands-on, energetic, and intellectually curious graduate data scientist to join at a pivotal time in our data journey. This is a hybrid role that bridges data engineering and both commercial and internal data science projects, offering the opportunity to shape foundational infrastructure while driving value from our data assets.
You'll support reporting across active projects and take on well-scoped pieces of our growing data lake--helping with ingestion, data quality, and smooth integration into a scalable analytics stack. In parallel, you'll contribute to commercially focused work such as pricing and revenue forecasting, maintain and iterate Power BI dashboards, and prototype lightweight generative-AI use cases (e.g., summarisation, retrieval/RAG, workflow assistants). Your analysis will translate into clear, practical recommendations that inform day-to-day decisions--growing your ownership as you go.
How You'll Make a Difference
In this role, you will:
Assist with commercial data projects (e.g., price optimisation, revenue forecasting)
Help spot new data opportunities to improve growth, efficiency, and performance, contributing research and quick prototypes.
Work closely with non-technical stakeholders--capture requirements, share updates, and translate needs into clear tasks.
Co-own reporting on outsourced data projects (status tracking, basic QA, documenting issues and follow-ups).
Contribute to our evolving data lake: support ingestion jobs, data quality checks, and routine maintenance.
Help integrate data from multiple systems into a coherent architecture, starting with smaller pipelines and connectors.
Translate business requirements into data queries, datasets, and simple models under guidance from the Lead.
Prototype and help productionise generative-AI use cases (summarisation, retrieval/RAG, workflow assistants)
You'll Be Ideal for This Role If You Have:
Bachelor degree or above, computer, statistics, mathematics and other related majors are preferred; English can be used as a working language;
Skilled in SQL and Python (or any other scripting language), familiar with common data statistics and analysis methods
Familiarity and interest in Generative and Agentic AI technologies
Strong problem-solving skills and a natural curiosity
Comfortable working independently
Able to communicate clearly with non-technical stakeholders and present findings
Energetic, ambitious, and thrives in fast-paced, evolving environments.
We know you have a lot to offer, which is why we give you the freedom to thrive, no matter who you are or what your background is.
Our Values
At BKL, we live by five core values:

• Think Big - Be curious, brave, and open to new ideas.
• In It Together - Collaborate, care, and build an inclusive culture.
• Take Pride - Strive for excellence and believe in your impact.
• Do the Right Thing - Act with integrity, honesty, and fairness.
• Enjoy It - Bring your whole self to work and have fun doing it.

Working With Us: Your Benefits, Wellbeing & Development
At BKL, we're committed to creating a people-first workplace where everyone can thrive. We offer a carefully curated benefits package, wellbeing support, and meaningful development opportunities that empower you to grow your career.
Snapshot of our Benefits Package
We've designed a flexible, sustainable set of benefits to support your life at work and beyond:

• Private Medical Insurance (PMI) - including mental health cover, hospital treatment & 24/7 GP access
• Health Cash Plans - covering everyday costs like dental, optical & physiotherapy and an Employee Assistance Programme
• Pension scheme - helping you save for retirement in a tax-efficient way
• Group Life Assurance - peace of mind with financial protection for your loved ones
• Cashback & savings portal - discounts across hundreds of high-street and online retailers
• Cycle to Work Scheme - spread the cost of a new bike and accessories tax-free
• Electric Vehicle Scheme - sustainable transportation options that include roadside support and servicing
• Free Mortgage Advice - expert guidance for your home-buying journey
• Season Ticket Loan - support with travel expenses
• Enhanced Family Leave - generous leave policies for family-related needs
• Beneficial Annual Leave - generous entitlement with the option to buy extra days off

Development & Growth
We don't just offer jobs, we support careers:

• Clear development pathways and progression frameworks
• Professional qualifications support - including study time and funding
• Internal mentoring, coaching, and buddying schemes
• Leadership development programmes to help you grow with us
• Regular check-ins and performance conversations - driven by your goals, not just metrics

Take Your Next Step
Ready to grow your career with a company that balances ambition with purpose? Apply today and discover how far you can go at BKL.
Our recruitment process typically involves three stages: * An introductory Teams call with our Talent Acquisition team.

• A first-stage interview with two team members.
• A final interview at our London office, including a tour to give you a feel for our working environment.

Compliance & Equal Opportunities
In addition to the responsibilities listed above, you will be required to undertake GDPR training in order to fully understand the regulations and ensure all work is carried out in a compliant manner.
As part of any recruitment process, BKL collects and processes personal data relating to job applicants. BKL is committed to being transparent about how it collects and uses that data and to meeting its data protection obligations.
BKL is an equal opportunities employer and positively encourages applications from suitably qualified candidates eligible to work in the UK.
BKL is a Top 40 accountancy & advisory firm operating in North and Central London. We support entrepreneurs, high net worth individuals, and owner-managed businesses. Our expertise covers key sectors such as property and construction, financial services and not-for-profit. We offer a comprehensive suite of services including tax consultancy, audit & assurance, accounts, corporate finance, and payroll, plus a range of consultancy that includes commercial finance, HR, IT, and sustainability.

Skills Required