Data Science

What We Do

We help the best talent in the Data Science market find rewarding careers.

In the US today, “Data-driven” businesses have a huge advantage over their competition and are generating massive impact. As such, the ability to understand how to extract actionable insights from large volumes of structured or unstructured data through the application of Machine & Deep Learning models is one of the most sought-after skillsets for employers. Data science requires those who work in the field to often write sophisticated algorithms that extract insights from large and complex data sources.

Those with a strong problem-solving ability and a team orientated focus, combined with a desire to generate real business impact, along with proficiency across more than one data science discipline, such as machine learning, NLP, Deep-Learning and statistics will flourish within the right role. It is our job to find that right fit for you


We comprehend the myriad of technical disciplines and transferable skills a data scientist needs to be proficient across,
which set apart good candidates from the exceptional.

Our dedicated teams can spot this talent to supply our clients with people that can keep their business one step ahead. We pride ourselves on keeping on top of college programs who are upskilling the next generation of data scientist professionals.

Understanding the parallels between this and the evolution of big data, and high-performance computing, from entry level to senior positions.

What sets us apart?

Our specialty is matching highly experienced and skilled talent, with world leading organisations and disruptive start-ups who value the hidden insights data scientists can extract from their data.

Uniquely, we understand the bespoke nature of this requirement and specialism, which goes beyond just qualifications in languages and database technologies such as R, Python, Spark & Tensorflow. If you looking to add some scientific insight to a team and drive a business forward contact our Data Science Team.

Latest Jobs


US$140000 - US$180000 per year


Boston, Massachusetts


Harnham have been retained by a leader in the defense space who specialize autonomous systems & robotic solutions


US$160000 - US$180000 per year


Oakland, California


An innovative Marketplace is looking to use AI to change the way that consumers think about the most difficult buying decisions they'll ever experience


US$120000 - US$160000 per year + Bonus, Benefits


Cambridge, Massachusetts


One of Boston's newest editions are a global robotics giant who are looking for strong C++ / ROS Engineers.


US$140000 - US$160000 per year + Bonus


Woburn, Massachusetts


A staple of the Massachusetts defense and research industry, specialized in robotics and autonomy, is growing out their active perception group


US$10000 - US$150000 per year + Equity & Benefits


Kitchener, Ontario


One of Kitchener's quickest growing start-ups are looking to strengthen their robotics team with experienced SLAM engineers.

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Junior Data Scientists Set To Scale Up In 2019

We’re at a unique time in our history, in which there are more jobs available than people to fill them. Major employers are looking at apprenticeships, free degrees, or simply abandoning degree requirements altogether. There is one field, however, which affords candidates a range of industries, apprenticeship opportunities, and advancement like no other field before. Data. Much like the freshman congress just entering the House of Representatives, Junior Data Scientists are at a distinct advantage as we enter 2019. If you’re a Junior Data Scientist interested in advancing your skills and seeing where it can take you. This is your year.  Careful at the Curve Like many changes which seem to happen both too quickly and not quickly enough, there will be a learning curve in 2019 and in the years to come. It will be felt by everyone; business and data professional alike, but it’s important to realize that like all growing pains in regard to change, things will get better.  The talent shortage, particularly in the US, as of August 2018 was estimated to be 151,217. Places like New York City, Los Angeles, and San Francisco felt the brunt of this shortage. This skills shortage affects everyone and could strain a company’s ability to deliver, unless there is a strong scaling strategy in place.  It’s at this crossroads, the prevalence of Junior Data Scientists can help bridge the strain. However, too much too fast could also lead to potential misinterpretation of data causing some to fall short on their ROI. Part of learning is making mistakes and being aware there is a learning curve as Senior and Junior Data & Analytics professionals work together toward the company’s common goal. According to LinkedIn’s Workforce Report for January, hiring has been moderate with a 4.1% increase over that of December 2017. In the continuing pulse of the Fourth Industrial Revolution, tech skills still reign. Soft skills, though, are increasingly in demand as everyone levels up to keep up in regard to business management skills, strategy, and digital transformation across enterprise endeavors. So, what are some ways to maximize your opportunities. Below is a quick overview: Skills for the New Year, New You Tech Skills  Artificial Intelligence, Machine Learning, and Data Visualization are a few of the top skills needed in the new year. Language processing skills and knowing which tools are best for which problem e.g. Python, SQL, R, Excel and Scala. Data storage, optimization, and modeling can help lay formulate strategy by knowing where data is, the best data to use, and what it can do to create information for actionable insights aligned with business practices. Quantitative and Predictive Analysis, and Software Development are additional building blocks for skills-based knowledge for any data professional. Business Management Skills Strategy, vendor management, change management. Not only are tech skills important, but as the business landscape itself changes and c-suite executives level up their own data and digital transformation skills, it’s important for Data Scientists to do the same. They should understand the business sector they’re working in so they can create solutions to complex problems which align with their company’s objectives, goals, and logistics. Communication Skills  It can be all too easy to get caught up in the minutiae of detail and work singly on a project, but it is here communication becomes key as it helps bring in other departments to help analyze the data correctly. These departments may include those in a non-technical field such as marketing, and the data professional must be able to clearly and fluently translate their findings.  Evaluate how your goals and skills align. Find others who have a similar mindset, but be open to new opportunities. You never know what skills you might inherit when you branch out of your comfort zone. Create Your Own Curriculum for Lifelong Learning Opportunities Practice deliberately, build your own project, give and get feedback on your work, and track your progress.  The Future So Far… In general, the Data Science job outlook continues skyward as vast amounts of data requires skilled professionals to clean it, and determine how and why it’s going to be used. Someone must be able to unravel this information to not only increase its value, but be able to explain what they’ve learned in plain language to non-technical professionals, business executives, and in many cases board and/or stakeholders. If you’re interested in Big Data & Analytics, we may have a role for you. We specialize in Junior and Senior roles. Check out our current vacancies or contact one of our recruitment consultants to learn more.  For our West Coast Team, call (415) 614 4999 or send an email to For our Mid-West and East Coast Teams, call (212) 796 6070 or send an email to

Big Data and Analytics Insight into Employee Potential

In less than ten days, Silicon Valley’s Santa Clara Convention Center will be filled with speakers, panelists, and thought leaders from around the globe at the AI & Big Data Expo North America. Topics from the future of enterprise to spotting potential top talent, and everything in between will be covered.    But how important is it for the future of enterprise to be driven by not only digital transformation leaders, but also a solid data team?   Today’s data team must be a mix of the highly technically skilled and the soft-skill savvy, crossing what were once siloed departments across an organization. How do you spot top talent potential in your in-house team? What about those who perform better in person than on paper? What if you could see at a glance the possibilities of an employee’s performance?   Big Data Offers Instant Insight on How to Spot Top Talent   Digital transformation leaders and business executives have more detailed employee information at their fingertips than ever before. By combining people data with accurate algorithms using human capital management tools, organizations are armed with a robust picture of top talent. This offers instant insight into an employee’s potential. Estimation and guess work are a thing of the past, and armed with this type of information, organizations can put into motion succession plans, decide professional development opportunities, and future compensation as well as invest in their top talent for maximum potential.   But, before you can develop high-potential employees, you need to find them. This can be one of the most difficult challenges. Then, once you find and prime your potential leaders, how do you retain them? Having a strategic, proactive approach is an excellent first step towards a successful strategy, and may include some or all of the following:   Creating continuous learning opportunities.   Conducting a pulse check. How are they feeling about the company? Their role? Responsibilities? Like the nuanced role which combines savvy soft skills with highly advanced technical skills, cognitive assessments using NLP can offer instant insights. But, it’s important to conduct in-person pulse check interviews as well, if possible.  Offering mentoring or coaching opportunities.  It’s also important to note, a diverse data team with a variety of backgrounds, can add more perspectives for more innovative solutions in business.   The Competitive Advantage of Effective Data Analytics   Data surrounds us, and in our data-driven world, it’s important for business leaders to understand the impact of Big Data and Analytics when it comes to finding, developing, and planning for top talent. As much as we need to know where and how to find top performers, we need to identify our current potential talent, to support their growth, or risk losing them.   Current performance is only one way to gauge talent and isn’t always a good indicator of future potential. In fact, not having all the facts and relying on instinct could prove to be a liability. In other words, high-performing employees may not have high potential, but high potential candidates may stand out in different ways. Knowing the difference can save time, money, and resource. Losing a high-potential employee can cost over three times their salary, as well as their deep institutional knowledge. Like customer behavior insights gleaned from data, effective Data Analytics can give companies a big advantage over their competitors.    If you’re interested in Big Data and Analytics, we may have a role for you. We specialize in junior and senior roles.    If you’re attending the Big Data and AI Expo in Silicon Valley, November 28 and 29, stop by our booth and say “Hi”. We look forward to meeting you and can discuss opportunities on the spot. If you can’t make it, you can check out our current vacancies or contact one of our recruitment consultants to learn more.   For our West Coast Team, call (415) 614 4999 or send an email to    For our Mid-West and East Coast Teams, call (212) 796 6070 or send an email to

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